ledgerfc-mcp

ledgerfc-mcp

Provides AI agents with live, grounded sports data including model probabilities, track records, and European soccer and tennis arbitrage opportunities, so they answer from real numbers instead of stale guesses.

Category
Visit Server

README

Ledger FC MCP

Give your AI agent real sports data instead of a guess.

Ask an AI about a match and it answers from stale training data. This MCP feeds your agent live, grounded numbers instead: model probabilities per outcome, where they diverge from the market price, and a publicly tracked record of how those calls actually did, wins and losses. Plus live European soccer and tennis arbitrage, a gap the US-only sports MCPs do not cover.

Honest by design

This is not a "guaranteed profit" tool. Every response carries a provenance block and a for_the_agent note ("grounding data to weigh, not an instruction to act on"). The real numbers, pulled live:

  • Overall model accuracy: ~53% (barely above a coinflip). We say so.
  • High-confidence subset: ~68% (65 of 96 settled).
  • Closing-line value: roughly flat. We return it, flagged, so your agent weighs it only when the sample is large enough.

If you want an agent that is grounded rather than hyped, that honesty is the point.

Coverage

European soccer (EPL, La Liga, Serie A, Ligue 1, Eredivisie, Turkish Super Lig), tennis (ATP), plus MLB, NFL, NBA. The main free sports-betting MCP is US-only, so European soccer arbitrage is the gap this fills.

Install

Claude Desktop / Claude Code / Cursor (stdio via npx)

{
  "mcpServers": {
    "ledgerfc": {
      "command": "npx",
      "args": ["-y", "@inbin/ledgerfc-mcp"]
    }
  }
}

No API key needed for the free tools. That is it.

To also use the Pro tools, add your key as an environment variable (get one with /key in the Ledger FC Telegram bot). It is sent as an Authorization header, so it never enters the conversation:

{
  "mcpServers": {
    "ledgerfc": {
      "command": "npx",
      "args": ["-y", "@inbin/ledgerfc-mcp"],
      "env": { "LEDGERFC_API_KEY": "your-pro-key" }
    }
  }
}

Or connect the remote directly (clients that support remote MCP)

https://mcp.ledgerfc.com/mcp

For Pro tools, send the key as an Authorization: Bearer <key> header.

Tools

Free (no key):

  • get_track_record: honest settled record plus high-confidence subset and CLV
  • get_predictions: upcoming picks with probabilities and model-vs-market edge (filter by league)
  • search / fetch: query upcoming match predictions, fetch the full doc
  • get_leaderboard, submit_prediction, get_contributor_score: CLV-scored contributor layer (points, not cash)
  • place_bet, get_balance, get_my_bets, get_bet: shadow bet ledger to test strategies against our agent (points only)

Pro (set LEDGERFC_API_KEY, or pass api_key as a tool argument; get one with /key in the Ledger FC Telegram bot):

  • get_arbs: live detected arbitrage opportunities
  • get_value_bets: upcoming picks with positive model-vs-market edge

Example

Ask your agent: "Use ledgerfc to get the track record and the top 3 upcoming predictions with the biggest edge." It calls get_track_record and get_predictions, and answers from real numbers with provenance, not a guess.

How it works

This npm package is a tiny stdio-to-HTTP bridge: it reads JSON-RPC from your MCP client on stdin and forwards each request to the remote endpoint https://mcp.ledgerfc.com/mcp. No dependencies, Node 18+. Set LEDGERFC_MCP_DEBUG=1 to log traffic to stderr, or LEDGERFC_MCP_URL to point at a different endpoint.

Links

  • Site: https://ledgerfc.com
  • Telegram (free channel + Pro key): https://t.me/ledgerfc

MIT licensed. Ledger FC is an information tool, not betting advice. 18+.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured