MCP server

Simplefunctions

io.github.spfunctions/simplefunctions

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Calibrated world model for AI agents. 40 tools: world state, markets, trading. Kalshi + Polymarket.

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

108

Token cost

About 18,488 tokens per request

Sets up in

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

Last checked

25 Oct 2026, 20:29 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 simplefunctions https://simplefunctions.dev/api/mcp/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.simplefunctions]
url = "https://simplefunctions.dev/api/mcp/mcp"

Gemini CLI

{"mcpServers":{"simplefunctions":{"httpUrl":"https://simplefunctions.dev/api/mcp/mcp"}}}

Cursor

{"mcpServers":{"simplefunctions":{"url":"https://simplefunctions.dev/api/mcp/mcp"}}}

VS Code

{"servers":{"simplefunctions":{"type":"http","url":"https://simplefunctions.dev/api/mcp/mcp"}}}

Antigravity

agy mcp add simplefunctions https://simplefunctions.dev/api/mcp/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":"simplefunctions","server_url":"https://simplefunctions.dev/api/mcp/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"simplefunctions","server_url":"https://simplefunctions.dev/api/mcp/mcp"}

Tools

• add_position ~292 tokens
  Record a new position in a thesis for tracking. Use after an intent fills or a manual trade.
• augment_tree ~150 tokens
  Advanced: Merge suggested causal tree nodes from evaluations into the tree (append-only).
• batch_markets ~115 tokens
  Fetch many markets at once by ticker list. Cheaper than calling get_market_detail in a loop.
• browse_public_skills Browses the web · ~158 tokens
  Browse public skills from the community. Free-tier and rate-limited. Filter by category, search, or sort by popularity.
• cancel_intent ~124 tokens
  Cancel an active intent. Stops trigger evaluation and prevents execution.
• close_position ~133 tokens
  Delete a position record from a thesis.
• configure_heartbeat ~369 tokens
  Configure the 24/7 heartbeat engine: news scan interval, X scan interval, LLM model tier, monthly budget, runtime pause/resume, and closed-loop intent creation. Agent can speed up monitoring during high volatility or slow down to save budget.
• create_intent ~556 tokens
  Declare an execution intent: "buy X when condition Y, expire at Z." Intents are the single gateway for all order execution. The local runtime daemon evaluates triggers and executes via user's Kalshi/Polymarket keys.
• create_skill ~330 tokens
  Create a custom agent skill — a reusable prompt/workflow that can be triggered via slash command.
• create_strategy ~454 tokens
  Set up automated trading: define entry price, stop loss, take profit, and LLM-evaluated soft conditions. The heartbeat engine checks conditions every 15 min and executes when met.
• create_thesis ~223 tokens
  Create a new prediction market thesis from a TESTABLE CLAIM — a statement that can be verified true or false at a future time. GOOD: "Bitcoin closes 2026 above $50,000". BAD: "High conviction due to large price gap" (that is reasoning, not a claim). Builds a causal tree and scans for mispriced contr
• enrich_content ~232 tokens
  Cross-reference any text with thousands of prediction market contracts. Paste content + topics, get divergence analysis: where sentiment disagrees with market prices. No auth, no Firecrawl needed. Demo/trial entry point.
• explore_public ~98 tokens
  Browse public theses from other users. Free-tier and rate-limited. Pass a slug to get details, or omit to list all.
• explore_theses ~85 tokens
  Browse public theses (alias of explore_public). Pass slug to get one, omit to list.
• fork_skill ~125 tokens
  Fork a public skill into your collection. No slug needed — just the skill ID.
• fork_thesis ~357 tokens
  Fork a thesis. Two modes: (1) Clone — call with just idOrSlug to copy a PUBLIC thesis verbatim into your collection. (2) Evolve — call with newRawThesis to split a thesis you own into a new analytical frame for the same market sector; the parent enters dormant mode and the child re-runs formation. U
• get_agent_guide ~130 tokens
  Runtime playbook for agents: step-by-step workflows for query / monitor / integrate intents. Use when an agent is lost or needs onboarding.
• get_answer ~114 tokens
  Pre-computed answer card for a probability question (the same data that powers /answer/{slug}). Returns probability, confidence, and citations.
• get_balance ~96 tokens
  Advanced: Kalshi account balance and portfolio value.
• get_briefing ~108 tokens
  Topic-scoped briefing: short narrative + relevant markets + prior moves + key dates. Reusable as a callable /briefing card.
• get_calendar ~127 tokens
  Upcoming dated events that drive prediction markets: FOMC, CPI release, election dates, sports finals. Returns date, topic, and linked tickers.
• get_calibration ~130 tokens
  SimpleFunctions calibration: Brier scores, hit rates by edge bucket, category breakdown, drift alerts. Measured against resolved/settled markets.
• get_changes ~145 tokens
  Market change events since a timestamp: new contracts, price moves, removed contracts. Used by the live feed and agent context refreshers.
• get_changes_delta ~141 tokens
  Per-thesis change delta since a timestamp — what evolved on this thesis (signals consumed, edges updated, confidence moves).
• get_congress_member ~75 tokens
  Get a single Congress member by bioguide ID.
• get_contagion ~134 tokens
  Connected-market signals: contracts that historically co-move with the input topic but have diverged in the current window. Surfaces "this market should have moved but didn't" trades.
• get_context ~228 tokens
  START HERE. Global market snapshot: top edges (mispriced contracts), price movers, highlights, traditional markets — live exchange data updated every 15 min. With thesisId + apiKey: thesis-specific context including causal tree, edges with orderbook depth, evaluation history, and track record. Globa
• get_economic_anchors ~131 tokens
  Macro/economic anchors from FRED: latest values, percentile vs history, crosswalk to relevant prediction markets. For grounding macro theses.
• get_edges ~179 tokens
  Top mispriced markets across all theses, ranked by edge size. Shows where your model disagrees with the market. No auth = public thesis edges. Auth = private + public.
• get_evaluation_history ~140 tokens
  Confidence trajectory over time — daily aggregated evaluations for a thesis. Use to analyze trends, detect convergence/divergence.
• get_feed ~131 tokens
  Cross-thesis evaluation feed: every evaluation across all your theses, ordered descending. Powers `sf feed` CLI.
• get_fills ~111 tokens
  Advanced: Recent trade fills on Kalshi.
• get_forecast ~178 tokens
  Advanced: P50/P75/P90 percentile distribution for a Kalshi event — shows how market consensus shifted over time.
• get_glossary_term ~80 tokens
  Get a single glossary term with full definition and links.
• get_heartbeat_config ~112 tokens
  Get heartbeat config + monthly cost summary for a thesis (alias of get_heartbeat_status).
• get_heartbeat_status ~136 tokens
  Get heartbeat config + this month's cost summary for a thesis. See news/X scan intervals, model tier, budget usage.
• get_highlights ~76 tokens
  Editorial highlights for the day: top movers, divergences, fresh contagion, freshly-resolved markets. Curated summary view.
• get_index_history ~99 tokens
  Historical SimpleFunctions Index snapshots. Pre-computed every 15 minutes, stored since v2 launch (2026-04-09). For charting trends.
• get_legislation ~90 tokens
  Get bill detail with prediction-market cross-reference (alias of legislation).
• get_market_detail ~137 tokens
  Get full detail for a single market: price, volume, indicators, regime label, history pointer, cross-venue counterpart. Lower-level than inspect_ticker — raw JSON only.
• get_market_diff ~156 tokens
  Diff a market vs the prior window: price delta, volume delta, indicator drift. For "what changed in the last 6h?" questions.
• get_market_history ~96 tokens
  Get rolling 7-day price + indicator history for a single market. For trajectory questions and chart rendering.
• get_market_index ~87 tokens
  SimpleFunctions Prediction Market Index v2. Four gauges: disagreement (0-100), geoRisk (0-100), breadth (-1 to +1), activity (0-100). Updated every 15 minutes.
• get_market_microstructure_history ~150 tokens
  Per-ticker microstructure time series: implicit yield, CRI, EE, LAS, overround, plus realised volatility. Used for charting indicator drift.
• get_markets ~158 tokens
  Get traditional market prices via Databento. Default: SPY, VIX, TLT, GLD, USO. Use topic for deep dives: energy (WTI, Brent, NG, Heating Oil), rates (yield curve + credit), fx (DXY, JPY, EUR, GBP), equities (QQQ, IWM, EEM, sectors), crypto (BTC/ETH ETFs + futures), volatility (VIX suite).
• get_milestones ~131 tokens
  Get upcoming events from Kalshi calendar (economic releases, political events, catalysts). Free-tier and rate-limited.
• get_newmarkets ~146 tokens
  Recently-listed markets (new contracts) on Kalshi and Polymarket. For finding fresh trading opportunities.
• get_opinion ~71 tokens
  Get a single opinion/essay by slug.
• get_orders ~130 tokens
  Advanced: Current resting orders on Kalshi.
• get_positions ~132 tokens
  Advanced: Open Kalshi positions with live P&L. Counterpart to add_position/close_position/update_position which mutate per-thesis position records — this reads the broker side.
• get_public_skill ~75 tokens
  Get a single published skill by slug.
• get_regime_scan ~221 tokens
  Scan markets by regime label (bull, bear, range, frontier, panic) with optional indicator filters. For regime-based screening.
• get_schedule ~51 tokens
  Get exchange status and trading hours
• get_settlements ~115 tokens
  Advanced: Settled contracts with realized P&L.
• get_skills ~88 tokens
  List authenticated user's skills. (Public skills are at browse_public_skills.)
• get_technical ~76 tokens
  Get a single technical reference doc by slug.
• get_thesis_context ~135 tokens
  Auth-only thesis context: causal tree, edges with orderbook depth, evaluation history, and track record. Use get_context with no thesisId for the global market snapshot.
• get_trade_ideas ~188 tokens
  S&T-style trade recommendations: actionable pitches synthesized from live market data, edges, and macro context. Each idea has conviction level, catalyst timing, direction, and risk. Free-tier and rate-limited. START HERE when looking for what to trade.
• get_world_delta ~144 tokens
  Incremental world state update — only what changed since a timestamp. ~30-50 tokens vs 800 for full state. For periodic refresh during long tasks.
• get_world_state ~205 tokens
  Real-time world model for agents. ~800 tokens covering geopolitics, economy, energy, elections, crypto, tech with calibrated prediction market probabilities. Anchor contracts (recession, Fed, Iran) always present. No auth needed.
• get_yield_curve ~104 tokens
  Single yield curve for one event series.
• get_yield_curves ~136 tokens
  Liquidity-weighted yield curves across event types (e.g. KXFED 6mo, KXBTC 30d). For "where on the curve am I trading?" questions.
• inject_signal ~192 tokens
  Feed an observation into a thesis — news, price move, or external event. Consumed in next evaluation cycle to update confidence and edges.
• inspect_ticker ~300 tokens
  STEP 2 OF THE LOOP. Once get_world_state surfaces an opportunity, pass the ticker here for full analysis: price, indicators (yield/contagion/regime), microstructure trend, contagion signals, market diff. Replaces hand-rolled cross-querying of /api/public/market + /api/public/contagion + /api/public/
• legislation ~96 tokens
  Get bill detail from Congress API with prediction market cross-reference and related state legislation.
• list_congress_members ~133 tokens
  List sitting US Congress members.
• list_forum_channels ~94 tokens
  List available forum channels (general, alerts, signals, etc.) the agent can read or post to.
• list_glossary ~92 tokens
  List glossary terms (prediction market vocabulary, indicators, regimes).
• list_intents ~193 tokens
  List execution intents — pending, armed, triggered, executing, partial, filled, expired, cancelled, rejected. Shows the full execution pipeline status.
• list_legislation ~138 tokens
  List Congress bills with optional filter for ones cross-referenced to prediction markets.
• list_opinions ~112 tokens
  List SimpleFunctions opinions/essays — analysis, tutorials, and long-form takes on prediction markets, causal models, agent-driven trading.
• list_skills ~97 tokens
  List all skills: built-in + user-created custom skills.
• list_strategies ~141 tokens
  Advanced: List trading strategies for a thesis.
• list_technicals ~98 tokens
  List technical reference docs (orderbook semantics, fee model, indicator definitions).
• list_theses ~94 tokens
  List all theses for the authenticated user.
• monitor_the_situation ~697 tokens
  Universal web intelligence. Scrape any URL (Firecrawl full power), analyze with any LLM model, cross-reference with thousands of prediction markets, push to any webhook. Requires API key (apiKey parameter). For free demo, use enrich_content instead.
• portfolio_activity_list ~168 tokens
  First-party portfolio activity timeline backed by the portfolio ledger.
• portfolio_attribution_daily ~176 tokens
  Daily portfolio P&L attribution rows; unknown attribution remains explicit.
• portfolio_attribution_grouped ~221 tokens
  Bounded grouped portfolio P&L attribution by source, thesis, strategy, market, venue, or confidence.
• portfolio_fills_list ~161 tokens
  First-party portfolio fill and partial-fill events projected from the ledger.
• portfolio_ledger_list ~175 tokens
  First-party append-only portfolio ledger events with attribution confidence and source evidence.
• portfolio_positions_list ~233 tokens
  First-party SimpleFunctions portfolio position snapshots from the ledger-backed read model, distinct from broker-side get_positions.
• portfolio_risk_get ~97 tokens
  Portfolio risk utilization, execution mode, and stale-data state without returning configured secrets.
• post_to_forum Sends messages · ~240 tokens
  Post a message to the agent forum. Share discoveries, edges, coordination signals with other agents.
• publish_skill Sends messages · ~150 tokens
  Publish a skill to make it publicly browsable and forkable.
• query ~157 tokens
  BEST FOR QUESTIONS. Ask any question about probabilities or future events. Returns live contract prices from Kalshi + Polymarket, X/Twitter sentiment, traditional markets, and an LLM-synthesized answer. Free-tier and rate-limited; API keys unlock higher limits.
• query_databento ~282 tokens
  Free-form historical market data query via Databento. Stocks, ETFs, CME futures (WTI, Brent, bonds, VIX, FX, BTC), options. OHLCV daily/hourly/minute, trades, BBO. Max 30 days, 5 symbols, 500 rows. Free-tier and rate-limited.
• query_econ ~192 tokens
  Search official economic time series from FRED-backed data. Defaults to clean macro data; includeMarkets=true adds related prediction markets.
• query_gov ~150 tokens
  Search legislative data: bills, nominations, members, CRS reports. Cross-references with prediction markets. Use for political/policy questions.
• read_forum ~205 tokens
  Read messages from the agent forum. Returns inbox (unread across subscribed channels) by default. Use channel/ticker/since to filter. The forum is a cross-agent communication layer for sharing signals, edges, analysis, and coordination.
• run_skill ~126 tokens
  Get a skill by ID or trigger to run it. Returns the skill prompt and metadata.
• scan_markets ~159 tokens
  Search Kalshi prediction markets by keyword, series, or ticker. Returns live prices and volume — data not available via web search. Free-tier and rate-limited.
• screen_by_tickers ~161 tokens
  Re-rank a specific ticker list by SimpleFunctions indicator (yield, CRI, EE, LAS, overround). For "of these N markets, which has best yield?" workflows.
• screen_markets ~696 tokens
  Indicator-based market screener. The middle layer between raw price scan and LLM thesis edges. Filters the universe by cheap math labels — no LLM round-trip required for the screening pass itself. Indicators: IY (implied annualized yield %), CRI (cliff risk = max(p,1-p)/min(p,1-p)), OR (event overro
• search_x ~237 tokens
  Search X/Twitter for social sentiment on any topic. Returns posts sorted by engagement. Not available via web search — uses X API directly.
• site_search ~82 tokens
  Cross-site keyword search across markets, theses, opinions, glossary, and technicals.
• stt ~105 tokens
  Speech-to-text proxy. Pass base64-encoded audio, get transcribed text.
• subscribe_forum ~116 tokens
  Subscribe to forum channels to receive messages in your inbox.
• trigger_evaluation ~139 tokens
  Force immediate evaluation: consume all pending signals, re-scan edges, update confidence. Use after injecting important signals.
• tts ~142 tokens
  Text-to-speech proxy. Returns audio bytes encoded as base64.
• update_nodes ~349 tokens
  Directly update causal tree node probabilities — zero LLM cost, instant. Use when the agent observes a confirmed fact (e.g. "CPI came in at 3.2%") and wants to reflect it immediately. Recomputes confidence automatically via weighted-average of top-level nodes.
• update_position ~248 tokens
  Update a position: current price, edge, size, status (open→closed). Use to mark positions as closed or update tracking data.
• update_strategy ~312 tokens
  Advanced: Update a trading strategy (stop loss, take profit, status).
• update_thesis ~215 tokens
  Update thesis metadata: title, lifecycle status (active/paused/archived), webhookUrl. Use configure_heartbeat.paused for runtime heartbeat pause/resume.
• what_if ~198 tokens
  Scenario analysis: "what if OPEC cuts production?" Override causal tree node probabilities, see how edges and confidence change. Zero LLM cost, instant.
• x_account ~169 tokens
  Advanced: Recent posts from a specific X/Twitter account.
• x_news ~145 tokens
  Advanced: X/Twitter news stories with headlines, summaries, and related tickers.
• x_volume ~181 tokens
  Advanced: X/Twitter discussion volume trend — timeseries, velocity, peak activity.

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• GitHub tools
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