MCP server

Diogenes Autonomous Microservice Gateway

io.github.stand-out-of-my-sun/diogenes-gateway

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

Autonomous AI microservices: 55 dynamic guardrails, contract audits & oracles via L402/x402/MPP.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

107

Token cost

About 33,002 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http diogenes-gateway https://diogenes-micro-gateway.corinth.workers.dev/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.diogenes-gateway]
url = "https://diogenes-micro-gateway.corinth.workers.dev/mcp"

Gemini CLI

{"mcpServers":{"diogenes-gateway":{"httpUrl":"https://diogenes-micro-gateway.corinth.workers.dev/mcp"}}}

Cursor

{"mcpServers":{"diogenes-gateway":{"url":"https://diogenes-micro-gateway.corinth.workers.dev/mcp"}}}

VS Code

{"servers":{"diogenes-gateway":{"type":"http","url":"https://diogenes-micro-gateway.corinth.workers.dev/mcp"}}}

Antigravity

agy mcp add diogenes-gateway https://diogenes-micro-gateway.corinth.workers.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"diogenes-gateway","server_url":"https://diogenes-micro-gateway.corinth.workers.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"diogenes-gateway","server_url":"https://diogenes-micro-gateway.corinth.workers.dev/mcp"}

Tools

• analyze_ast_symbol_graph ~327 tokens
  Static lexer and AST parser only (zero execution or evaluation): extracts imports, exports, classes, interfaces, and functions with line numbers, intra-file call edges, McCabe cyclomatic complexity, and Halstead volume across TypeScript, Python, Rust, Go, and Move. Use when mapping internal function
• analyze_media_sentiment ~320 tokens
  Evaluates brand, market, or topic sentiment across news headlines, discussions, and articles with bull/bear polarity scores. Use when assessing market sentiment, social brand perception, or controversy exposure on specific entities; for compiling competitive market comparisons, use compile_competiti
• analyze_news_recency ~308 tokens
  Tracks breaking news feeds, clusters trending story cycles, and calculates story publication velocity over recent timeframes. Use when analyzing breaking market catalysts, emerging controversies, or ongoing product announcements; for evaluating sentiment polarity across media, use analyze_media_sent
• analyze_omni_multimodal_input ~284 tokens
  Analyzes combined multimodal prompts spanning text, image descriptors, audio transcripts, and video temporal events using Gemini Omni Flash. Use when correlating information across multiple media modalities in a single reasoning pass; for running pure text-only reasoning or coding prompts, use gener
• analyze_query_plan ~321 tokens
  Analyzes SQL EXPLAIN execution plans to detect sequential table scans, high-cost cartesian joins, and buffer memory bottlenecks. Use when diagnosing slow queries, optimizing database performance, or evaluating query cost; for getting index recommendations, use recommend_database_indexes instead. Sta
• apply_fuzzy_code_patch ~347 tokens
  Applies unified diffs (@@ ... @@) or SEARCH/REPLACE blocks to source code using sliding-window token similarity to resolve drifted line numbers, align indentation, and verify bracket balance. Use when healing and applying a code edit or diff that failed exact line matching due to line-number drift o
• audit_module_dependency_cycles ~320 tokens
  Runs Tarjan's Strongly Connected Components (SCC) algorithm on a module import map to detect circular dependencies, compute parallel topological build waves, and trace downstream change blast radius. Use when auditing multi-file import graphs for circular cycles or determining which downstream files
• audit_smart_contract_code ~291 tokens
  Statically audits Solidity, Vyper, or Move smart contract source code for honeypot transfer taxes, hidden mint backdoors, proxy upgrade traps, and reentrancy. Use when auditing smart contract source code or bytecode before deploying or interacting with a protocol; for scanning Solana Anchor/Rust pro
• audit_sql_injection_ast ~324 tokens
  Statically parses SQL queries via AST lexical analysis to detect second-order injection, tautology conditions, and stacked queries. Use when auditing dynamic query parameters or untrusted user input before database execution; for sanitizing query strings for telemetry logging, use sanitize_sql_telem
• audit_transaction_isolation ~325 tokens
  Audits database transaction workflows for concurrency anomalies, dirty reads, non-repeatable reads, and deadlock risks. Use when reviewing financial transfer procedures, inventory decrement operations, or multi-step checkout workflows; for calculating connection pool headroom, use calculate_pool_hea
• calculate_pool_headroom ~345 tokens
  Calculates optimal connection pool sizing, idle timeouts, and client headroom based on server RAM and concurrency profile. Use when sizing PgBouncer, HikariCP, or Prisma connection pools to avoid server out-of-memory crashes; for checking transaction isolation hazards, use audit_transaction_isolatio
• calculate_spot_swap_rate Moves money · ~259 tokens
  Calculates instantaneous spot exchange rates and equivalent USD, BTC, and satoshi values across BTC, ETH, SOL, SUI, and USDC. Use when converting a token amount into USD or satoshis for invoice pricing or accounting; for quoting executable non-KYC cross-chain bridge routes with bridge fees and settl
• cluster_topic_subgraphs ~326 tokens
  Discovers latent thematic clusters, subtopic branches, and conceptual relationships across document corpora. Use when structuring broad search results into distinct thematic silos or generating table of contents taxonomies; for tracking chronological milestones, use summarize_temporal_timeline inste
• compare_crosschain_bridge_routes ~330 tokens
  Compares non-custodial, non-KYC cross-chain swap routes (THORChain native L1 swaps, Maya Protocol, Blockstream Liquid) by basis-point fee, net output sats, and settlement time. Use when routing cross-chain treasury settlements (e.g. Solana USDC or Base ETH into native Bitcoin); for calculating mid-m
• compile_competitive_landscape ~338 tokens
  Compiles multi-competitor comparison matrices, pricing tiers, feature coverage, and strategic moat evaluations. Use when analyzing market landscapes, evaluating pricing parity, or conducting diligence on competing product offerings; for compiling narrative research briefs, use compile_research_dossi
• compile_mpp_research_dossier ~330 tokens
  Compiles a structured JSON research dossier ('key_findings', 'synthesis_quality_score', 'sources_cited') settled via Base EVM Machine Payments Protocol (MPP). Use when generating a strict-JSON cited intelligence brief paid via Base USDC MPP session headers; for running long-form narrative research r
• compile_polyglot_type_schemas ~349 tokens
  Inspects a sample JSON payload (inferring UUID, ISO-8601 datetime, email, integer vs float, and array item types) and compiles strict TypeScript interfaces, Zod schemas, Python Pydantic v2 models, and JSON Schema Draft 2020-12. Use when generating static type definitions and runtime validators in Ty
• compile_research_dossier ~311 tokens
  Compiles multi-source factual research briefs with verified citations, confidence intervals, and key analytical takeaways. Use when synthesizing comprehensive intelligence briefings on complex technical, scientific, or market developments; for rapid query search snippets, use synthesize_neural_searc
• compile_rss_feed ~303 tokens
  Transforms JSON item collections or article card arrays into standardized RSS 2.0, Atom 1.0, or JSON Feed 1.1 syndication feeds. Use when syndicating blog articles, product announcements, or changelog cards to RSS readers and AI agents; for compiling structured sitemap listings, use crawl_sitemap_ur
• compose_lyria_music_track ~284 tokens
  Composes studio-grade instrumental music tracks, ambient loops, and multi-instrument arrangements from genre, tempo, and mood prompts using Google Lyria 3. Use when generating musical scores, soundtrack stems, or rhythmic audio loops; for converting written text into spoken human voice narration (TT
• conduct_deep_research_investigation ~289 tokens
  Runs an iterative, multi-hop investigative research session via Gemini Deep Research Pro, cross-examining primary sources to produce a cited technical report. Use when investigating complex scientific, architectural, or market questions requiring deep multi-hop synthesis; for running a fast single-t
• crawl_sitemap_urls Browses the web · ~301 tokens
  Parses XML sitemaps and sitemap index files into structured URL trees with change frequency and last-modified filters. Use when discovering domain architectures, mapping crawl frontiers, or indexing blog/product catalogues; for extracting on-page hyperlinks from raw HTML, use extract_page_hyperlinks
• decode_eip712_permit_signature ~296 tokens
  Decodes EIP-712 and Uniswap Permit2 off-chain typed-data payloads to verify spender identity, detect unlimited (uint256.max) token approvals, and flag expired deadlines. Use when inspecting an off-chain eth_signTypedData_v4 or Permit2 payload before signing; for decoding raw on-chain hex transaction
• detect_address_poisoning_scam ~276 tokens
  Compares a target recipient wallet address against recent transaction history to detect vanity prefix/suffix lookalike spoofing and zero-value dusting attacks. Use when verifying a recipient EVM or Solana wallet address before sending funds; for decoding hex smart contract calldata payloads, use sim
• detect_breaking_migrations ~324 tokens
  Compares source and target DDL schemas to identify breaking changes, destructive column drops, and lock-inducing mutations. Use when verifying CI/CD migration scripts before production deployment to prevent downtime; for verifying relational normal form, use validate_schema_normalization instead. St
• detect_openapi_breaking_changes ~346 tokens
  Compares baseline and candidate OpenAPI 3.1 specs, JSON Schemas, or MCP tool manifests to detect breaking changes (removed fields, new required inputs, narrowed enums, type mutations). Use when auditing API, JSON Schema, or MCP contract revisions for backward compatibility before deployment; for com
• detect_paywall_and_bypass ~323 tokens
  Audits web page DOM hierarchies to detect soft paywalls, blur overlays, modal gates, and recovers concealed body text. Use when diagnosing paywall obstructions, diagnosing subscriber gating scripts, or auditing content access barriers; for assessing general SEO hygiene, use evaluate_seo_diagnostics
• diff_agent_memory_checkpoint ~342 tokens
  Computes structural diffs between two agent state snapshots ('added_keys', 'mutated_keys', 'removed_keys'), flags boolean belief contradictions, generates an RFC 7396 JSON Merge Patch delta, and computes a canonical checkpoint hash. Use when checkpointing agent state or transmitting minimal RFC 7396
• estimate_bitcoin_mempool_fees ~250 tokens
  Fetches real-time Bitcoin mainnet mempool feerate recommendations in satoshis per virtual byte (sat/vB) across fastest, half-hour, hour, and economy confirmation tiers. Use when checking current Bitcoin L1 network congestion before broadcasting an on-chain BTC transaction; for calculating exact SegW
• estimate_solana_priority_fees ~288 tokens
  Calculates optimal Solana compute-unit (CU) microlamport priority fees and Jito bundle tip lamports to achieve target block-inclusion probability. Use when setting SetComputeUnitPrice and Jito tips before broadcasting a Solana transaction; for querying Bitcoin L1 sat/vB mempool fee rates, use estima
• evaluate_ab_statistical_significance ~362 tokens
  Computes Welch's two-sample t-test or two-proportion z-test, returning two-tailed p-values, Cohen's d effect size, relative lift %, and Bayesian P(Treatment > Control). Use when determining whether a prompt change, model benchmark, or A/B experiment produced a statistically significant improvement;
• evaluate_deterministic_math ~330 tokens
  Strict Shunting-Yard AST arithmetic parser with zero eval() or dynamic code execution: evaluates algebraic formulas and computes exact financial NPV, Newton-Raphson IRR, Kelly criterion, and dataset stats. Use when computing exact arithmetic formulas, cashflow NPV/IRR, or descriptive statistics with
• evaluate_dex_mev_risk ~294 tokens
  Evaluates decentralized exchange (DEX) swap parameters against pool depth and mempool visibility to quantify MEV sandwich risk and compute optimal slippage tolerance in basis points. Use when configuring slippage tolerance and private-RPC routing before executing an on-chain DEX token swap; for comp
• evaluate_seo_diagnostics ~313 tokens
  Audits HTML heading structures, title lengths, meta descriptions, image alt tags, and OpenGraph compliance into a health score. Use when auditing landing pages, verifying SEO compliance before publishing, or evaluating crawl friendliness; for extracting article bodies, use scrape_readable_article in
• evaluate_solana_token_risk ~301 tokens
  Evaluates a Solana SPL token's rug-pull probability by checking active mint authority, freeze authority, mutable metadata, and top-holder concentration. Use when making a pre-trade security decision on whether a Solana SPL token is safe to buy; for retrieving SPL token symbol, decimals, and DEX liqu
• execute_antigravity_agent ~295 tokens
  Dispatches a complex engineering or operational task to Google's Antigravity autonomous agent for multi-step planning, tool orchestration, and verified execution. Use when solving multi-stage software engineering or workflow tasks that require autonomous planning; for compiling exhaustive multi-sour
• expand_search_queries ~311 tokens
  Generates targeted Boolean queries, semantic synonym variations, and sub-question expansions from an ambiguous prompt. Use when overcoming query vocabulary mismatches and expanding search recall across academic, code, or patent databases; for scoping queries to domain categories, use filter_domain_i
• extract_clean_markdown ~312 tokens
  Converts raw HTML pages into clean, boilerplate-free, LLM-optimized Markdown with preserved hyperlinks and headings. Use when ingesting raw web documents or blog posts into agent context windows; for isolating tabular data into structured datasets, use parse_html_tables instead. Stateless read-only
• extract_contact_info ~303 tokens
  Extracts email addresses, telephone numbers, physical addresses, and social network handles from web text and DOM footers. Use when researching sales leads, aggregating business contact directories, or extracting customer service info; for parsing structured tabular data, use parse_html_tables inste
• extract_page_hyperlinks ~308 tokens
  Extracts, normalizes, and filters internal and external hyperlinks, anchor texts, and downloadable asset targets from HTML. Use when building site crawlers, auditing broken links, or extracting reference citations; for isolating primary readable article narrative text, use scrape_readable_article in
• extract_scholarly_citations ~327 tokens
  Formats academic paper metadata and DOI identifiers into standard scholarly citation formats (BibTeX, APA, IEEE, MLA). Use when generating bibliographies for research papers, validating journal references, or resolving DOI identifiers; for structuring research timelines, use summarize_temporal_timel
• extract_structured_metadata ~322 tokens
  Extracts OpenGraph tags, Twitter Card metadata, canonical URLs, and Schema.org JSON-LD microdata scripts from HTML. Use when indexing social share cards, author identity, breadcrumbs, and rich snippet schemas for AI search agents; for scanning page hyperlinks and outbound references, use extract_pag
• filter_domain_intelligence ~315 tokens
  Scopes search execution and filters results strictly across verified high-reputation domain registries and regulatory bodies. Use when restricting search discovery to verified academic papers, SEC filings, official documentation, or legal statutes; for checking specific factual claims, use verify_fa
• generate_boundary_test_vectors ~314 tokens
  Synthesizes deterministic unit-test vectors from a JSON Schema or function signature covering valid equivalence partitions, numeric/length boundaries, and adversarial Unicode/null inputs. Use when generating exhaustive edge-case unit test payloads and fuzz vectors for an API endpoint or function; fo
• generate_gemini_completion ~295 tokens
  Generates text completions and structured reasoning across all 45 Google Gemini foundation models (Gemini 4 Argon, 3.1 Pro, 3.8 Flash) with zero Google account or API key required. Use when running single-turn reasoning, coding, or analytical prompts on a specific Gemini model; for delegating multi-
• generate_gemini_embeddings ~275 tokens
  Generates normalized 3,072-dimensional or 768-dimensional semantic vector embeddings via Google Gemini Embedding 2 for RAG indexing and cosine-similarity search. Use when embedding text passages or queries via L402 Lightning with configurable Matryoshka dimensions; for running live Google Search gro
• generate_nano_banana_image ~267 tokens
  Generates photorealistic illustrations, UI mockups, and technical diagrams from text prompts using the Nano Banana Pro (Gemini 2.5 Flash Image) model family. Use when creating static visual assets, icons, or architecture diagrams from text descriptions; for synthesizing animated multi-second video c
• generate_orm_models ~327 tokens
  Compiles SQL DDL schemas into type-safe ORM entities and TypeScript validation schemas (Prisma, Drizzle, SQLAlchemy, Zod). Use when scaffolding application models, generating TypeScript data layers, or synchronizing schemas; for translating raw SQL across dialects, use transpile_sql_dialect instead.
• generate_veo_cinematic_video ~283 tokens
  Synthesizes high-definition cinematic video sequences with temporally coherent camera motion and physics using Google Veo 3. Use when generating moving video clips, product B-roll, or animated scene renders from text prompts; for rendering static single-frame images or diagrams at lower cost, use ge
• inspect_solana_token_liquidity ~276 tokens
  Retrieves canonical Solana SPL token metadata including name, ticker symbol, decimal precision, and current mint/freeze authority addresses. Use when resolving SPL token decimals, ticker symbols, and registry metadata for portfolio or swap formatting; for computing a composite security risk score an
• isolate_css_selectors ~320 tokens
  Evaluates CSS selector queries against HTML DOM trees to extract targeted inner text, outer HTML, or element attributes. Use when targeting specific elements like pricing badges, product titles, review cards, or navigation breadcrumbs; for parsing unstructured contact information, use extract_contac
• isolate_stacktrace_root_cause ~294 tokens
  Parses noisy CI/terminal logs and multi-language stack traces (Node/TS, Python, Rust, Go), strips node_modules/stdlib frames to isolate the innermost failing user-code frame, and clusters repetitive logs into Drain templates. Use when triage-debugging test failures, crash dumps, or repetitive server
• operate_computer_use_agent ~271 tokens
  Plans and executes OS-level desktop, browser DOM, and GUI coordinate actions (click, type, scroll, wait) using the Gemini Computer Use agent. Use when automating interactive web UIs or desktop workflows that lack a direct REST API; for running code-first API and terminal automation tasks, use execut
• parse_html_tables ~305 tokens
  Detects and parses HTML table elements into structured JSON record arrays and GitHub-Flavored Markdown tabular grids. Use when converting financial statements, product comparison grids, or sports statistics into structured data tables; for extracting raw clean markdown prose, use extract_clean_markd
• plan_bitcoin_utxo_consolidation ~305 tokens
  Analyzes a set of Bitcoin UTXO balances in satoshis to compute exact vByte transaction weight, identify uneconomical dust inputs, and recommend whether to consolidate now or hold. Use when optimizing on-chain Bitcoin treasury UTXO sets to minimize long-term miner fee drag; for fetching current live
• plan_context_token_budget ~347 tokens
  Counts subword BPE tokens across prompt segments, detects high-priority instructions trapped in the 35%–72% Lost-in-the-Middle attention trough, and calculates USD/satoshi costs across frontier LLMs. Use when auditing prompt token budgets, reordering prompt sections for primacy/recency attention, or
• plan_robotics_spatial_trajectory ~292 tokens
  Computes 3D spatial affordances, obstacle-avoidance waypoints, and manipulator grasp sequences using Gemini Robotics ER 2 embodied reasoning. Use when planning physical robot arm kinematics, mobile navigation waypoints, or spatial scene task orders; for interacting with 2D desktop or browser GUI scr
• process_live_audio_dialogue ~281 tokens
  Processes real-time conversational dialog turns with native acoustic emotion, interruption handling, and paralinguistic cue comprehension via Gemini 3.8 Live. Use when handling interactive voice-agent dialog turns that require tone and turn-taking awareness; for performing one-way text-to-speech rea
• prune_context_skeleton ~366 tokens
  Compresses large source files, logs, or transcripts by 50–80% to fit an LLM context budget while preserving 100% of function/class/type signatures, imports, error frames, and query-matched lines. Use when shrinking oversized source files or logs before feeding them into an LLM prompt; for counting B
• rank_expert_sources ~328 tokens
  Identifies and ranks top domain authorities, leading researchers, and primary documentation repositories for technical topics. Use when finding primary source experts to cite or discovering foundational documentation for specialized fields; for ranking general search query snippets, use synthesize_n
• recommend_database_indexes ~323 tokens
  Recommends optimal single-column and composite B-Tree/BRIN indexes based on slow query WHERE, JOIN, and ORDER BY clauses. Use when optimizing database response times and eliminating full-table scans; for inspecting full execution plans, use analyze_query_plan instead. Stateless read-only edge call (
• rerank_hybrid_rag_chunks ~384 tokens
  Reranks and deduplicates candidate RAG or retrieval passages against a search prompt using Okapi BM25 (k1=1.5, b=0.75), Reciprocal Rank Fusion (RRF), and Maximal Marginal Relevance (MMR) Jaccard diversity filtering. Use when selecting the top-K highest-signal, non-redundant passages from vector sear
• sanitize_html_content ~322 tokens
  Sanitizes raw HTML by removing malicious script tags, iframes, inline event handlers, and data URIs into safe markup. Use when preparing untrusted third-party web content for rendering in agent dashboards or email clients; for converting clean HTML into markdown, use extract_clean_markdown instead.
• sanitize_sql_telemetry ~325 tokens
  Masks PII, financial values, and credential literals from raw SQL query logs and slow-query dumps before telemetry storage. Use when scrubbing production database query logs before shipping to APM tools, Datadog, or external log collectors; for auditing SQL injection vulnerabilities, use audit_sql_i
• scan_solana_cpi_reentrancy ~290 tokens
  Scans Solana Anchor and native Rust program instructions for unverified Cross-Program Invocation (CPI) program IDs, missing signer checks, and PDA bump seed canonicalization bugs. Use when auditing Solana Rust/Anchor source code or instruction account structs for CPI privilege escalation; for checki
• schedule_critical_path_tasks ~294 tokens
  Solves a task dependency DAG via the Critical Path Method (CPM) to compute ES/EF/LS/LF, Total Float/Slack, optimal makespan, and the Critical Path. Use when scheduling dependent engineering milestones or workflow steps to find the minimum project duration and zero-slack bottleneck path; for detectin
• scrape_readable_article Browses the web · ~318 tokens
  Extracts primary article body, author bylines, publication timestamps, and estimated reading duration from web pages. Use when stripping navigation bars, advertisement containers, and cookie banners to isolate core editorial content; for converting full HTML to markdown, use extract_clean_markdown i
• search_gemini_grounded_maps ~270 tokens
  Executes geospatial and point-of-interest queries grounded in live Google Maps data, returning verified addresses, coordinates, operating hours, and spatial context. Use when resolving physical locations, venues, transit distances, or regional infrastructure data; for searching general web articles,
• search_gemini_grounded_web ~290 tokens
  Answers factual queries with live Google Search grounding, returning verified up-to-date answers accompanied by source URLs and grounding metadata. Use when verifying live web facts, documentation updates, or current events in a single low-latency call; for querying geographic places, coordinates, d
• simulate_evm_transaction_calldata ~308 tokens
  Decodes raw EVM hexadecimal transaction calldata (0x...) by 4-byte function selector to expose hidden ERC-20 approve/transferFrom calls, setApprovalForAll drains, and multicall bundles. Use when auditing raw hex transaction data (to, value, data) before broadcasting an on-chain EVM transaction; for
• simulate_monte_carlo_risk ~299 tokens
  Runs a reproducible seeded Mulberry32 Monte Carlo simulation over uncertain cost, latency, or duration variables to compute P10/P50/P90/P95 percentiles, Value-at-Risk (VaR), and CVaR. Use when modeling stochastic uncertainty, tail risk (VaR/CVaR), and probability of meeting a budget or SLA target; f
• summarize_temporal_timeline ~326 tokens
  Synthesizes chronological milestone timelines from search results, news archives, and historical documents. Use when reconstructing historical events, tracking company histories, or mapping regulatory progression; for tracking real-time breaking news in the past 24 hours, use analyze_news_recency in
• synthesize_gemini_speech_audio ~279 tokens
  Converts written text into natural, prosody-controlled spoken voice audio using Gemini 3.8 Flash Neural Text-to-Speech. Use when rendering voiceover narration or spoken agent replies from a deterministic text script; for conducting bidirectional conversational audio dialog comprehension, use process
• synthesize_neural_search ~313 tokens
  Executes multi-domain semantic search query expansion, relevance re-ranking, and extractive factual snippet bundling. Use when retrieving grounded web knowledge, evaluating search results across diverse domains, and retrieving cited answers; for building deep research briefings, use compile_research
• synthesize_seed_fixtures ~316 tokens
  Generates deterministic relational test seed fixtures respecting foreign key constraints, unique indexes, and data bounds. Use when provisioning mock database datasets for automated testing, staging environments, or sandbox demos; for compiling ORM models from schemas, use generate_orm_models instea
• synthesize_sql_query ~358 tokens
  Translates natural language questions into dialect-accurate, optimized SQL SELECT queries with schema awareness and safety checks. Use when generating reporting queries or automated data analytics pipelines; for analyzing SQL execution performance and EXPLAIN plans, use analyze_query_plan instead. S
• track_solana_whale_flows ~261 tokens
  Tracks 24-hour net accumulation or distribution flows across top Solana whale wallets and flags coordinated insider wallet clusters for a given SPL token. Use when analyzing on-chain smart-money order flow and holder clustering on Solana; for checking static SPL contract mint/freeze authority permis
• transpile_sql_dialect ~320 tokens
  Transpiles SQL queries and DDL schemas across PostgreSQL, MySQL, and SQLite dialects, rewriting functions and syntax quirks. Use when migrating application queries across database backends or testing against in-memory SQLite; for generating new queries from natural language, use synthesize_sql_query
• validate_schema_normalization ~320 tokens
  Audits database schemas for third normal form (3NF) compliance, transitive dependencies, and missing foreign key constraints. Use when reviewing database architectures, preventing update anomalies, or validating relational integrity; for detecting breaking schema migrations, use detect_breaking_migr
• verify_factual_claims ~326 tokens
  Audits factual statements against authoritative consensus sources and assigns truthfulness scores with counter-evidence. Use when checking disputed claims, detecting AI hallucinations, or validating quotes before citation; for formatting academic citations, use extract_scholarly_citations instead. S
• verify_http402_payment_challenge ~287 tokens
  Decodes inbound HTTP 402 Payment Required challenges (L402 BOLT11 + Macaroon, x402 Solana USDC, MPP Base intents) to verify cryptographic payment-hash binding and block overcharge fraud. Use when auditing a 402 challenge header before an autonomous agent pays a Lightning invoice or USDC transfer; fo

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