MCP server

Diogenes Dev & Data Utilities MCP

io.github.stand-out-of-my-sun/diogenes-dev-utilities-mcp

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

JSON healing, O(n) ReDoS defense, XML prompt compilation, and schema verification tools.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

14

Token cost

About 4,223 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-dev-utilities-mcp https://diogenes-micro-gateway.corinth.workers.dev/mcp/dev-utilities

Claude Desktop

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

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

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

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

Grok (xAI API tools)

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

Tools

• arbitrate_agent_deliverable_escrow ~354 tokens
  Evaluates a worker agent's submitted task deliverable against agreed contract acceptance criteria to issue a deterministic escrow settlement verdict ('RELEASE_FUNDS_TO_WORKER_AGENT', 'REQUEST_REVISION', or 'REFUND_CLIENT'). Use when settling multi-agent bounties or verifying subcontractor deliverabl
• clean_tabular_dataset ~287 tokens
  Deduplicates repetitive lines or records, normalizes Unicode whitespace, strips HTML/control noise, and canonicalizes tabular text or JSON arrays. Use when cleaning noisy scraped lists, CSV rows, or duplicate log lines before indexing or analysis; for extracting typed JSON fields from free-form pros
• compile_xml_agent_prompt ~292 tokens
  Compiles a raw task description into a structured XML system prompt (<role>, <context>, <objective>, <constraints>, <workflow>, <output_format>) engineered to prevent instruction drift. Use when authoring or upgrading a system prompt for an autonomous agent or sub-agent workflow; for mapping a task
• enforce_json_schema_types ~305 tokens
  Validates a raw LLM output object against a target JSON Schema, automatically coercing mismatched scalar types (e.g. string '42' to integer 42), injecting schema defaults, and pruning undeclared hallucinated fields. Use when enforcing schema compliance and type safety on structured LLM outputs befor
• extract_structured_json_entities ~307 tokens
  Extracts structured JSON records, named entities, dates, and financial figures from unstructured prose, emails, or HTML/Markdown dumps. Use when converting unstructured natural-language text into a structured JSON array of entities; for validating and coercing an existing JSON payload against a form
• generate_x402_vector_embeddings ~275 tokens
  Generates normalized high-dimensional semantic vector embeddings settled via Solana SPL USDC ('x402' protocol headers) for decentralized RAG pipelines. Use when computing text embeddings paid via Solana USDC x402 signatures rather than Bitcoin Lightning; for extracting discrete JSON entities from un
• heal_malformed_json ~277 tokens
  Deterministic JSON syntax repair: normalizes quotes, unclosed brackets, and boolean literals into compliant RFC 8259 JSON structure without data deletion. Use when fixing syntax-broken JSON strings that fail JSON.parse(); for coercing field types and verifying properties on already-parseable JSON ob
• infer_mpp_streaming_session ~289 tokens
  Initializes a Base USDC Machine Payments Protocol (MPP) metered inference session, allocating a streaming token quota and returning a step-by-step execution plan. Use when running session-metered agent planning settled via Base EVM MPP 'Payment-Challenge' headers; for mapping a task goal to L402 MCP
• route_mcp_workflow_plan ~310 tokens
  Maps a natural-language agent goal to an ordered sequence of Diogenes MCP tool calls with exact endpoint paths, JSON-RPC 2.0 payloads, and cumulative satoshi cost estimates. Use when an autonomous agent needs to plan which MCP tools to chain together to solve a multi-step objective within a satoshi
• summarize_technical_document ~282 tokens
  Condenses long technical specifications, RFCs, research papers, or meeting transcripts into high-density executive bullet points preserving exact figures and decisions. Use when producing a human-readable executive summary of a single provided document; for researching a topic across the live web wi
• synthesize_python_automation_code ~300 tokens
  Synthesizes PEP 8 compliant, self-contained Python 3 scripts, data parsers, and CLI utilities complete with type hints, docstrings, and inline assertion tests. Use when generating a standalone Python automation script or parser from a functional specification; for summarizing existing documentation
• synthesize_safe_regex ~294 tokens
  Synthesizes linear-time O(n) regular expressions free of catastrophic backtracking (ReDoS) and validates them against positive and negative test strings. Use when generating and verifying a regular expression pattern for input validation or lexical parsing; for repairing broken JSON syntax directly
• synthesize_web_intelligence_brief ~300 tokens
  Synthesizes a real-time market or technical intelligence brief grounded in live Google Search, returning strict JSON ('executive_summary', 'key_developments', 'sentiment', 'sources'). Use when fetching a structured JSON market/news brief with live web citations and sentiment classification; for summ
• verify_context_compaction_fidelity ~351 tokens
  Audits a compacted conversation summary against the original full context to detect dropped user constraints, lost file paths, altered numbers, or missing pending tasks. Use when verifying that an LLM context-compaction summary retained all task-critical facts before truncating history; for generati

Browse

• GitHub tools
• Web search
• Website monitoring
• Spreadsheets
• Converting to Markdown

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