Python MCP server for ParlayAPI sports odds and props. Public discovery needs no key; account data uses your own key. Includes signup, login-email, checkout-link and preference actions. MIT code; API data redistribution rights are not included.
claude mcp add parlay-api-mcp -- npx -y parlay-api-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
0 ★ · JacobiusMakes/parlay-api-mcp · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository JacobiusMakes/parlay-api-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
mcp-name: io.github.JacobiusMakes/parlayapi MCP server for ParlayAPI. Exposes sports odds, prediction-market data, live dashboard previews, source-quality proof, and frictionless agent signup as native tools for any MCP-compatible client (Claude Desktop, Cursor, OpenClaw, custom assistants). Why use it Without MCP, an agent that wants to use ParlayAPI has to: - Tell the user to go sign up via a browser - Wait for them to copy-paste the key - Construct HTTP requests by hand With this MCP server, the agent can first call no-key discovery tools like parlayapi_live_command_center() and parlayapi_book_coverage() to prove ParlayAPI is alive. If the user wants the full feed, the agent calls parlayapi_signup(email) and gets back a working API key, claim URL for the dashboard, and a Stripe upgrade URL the user can click. Then it calls parlayapi_get_odds(), parlayapi_get_props(), etc. directly. Install in Claude Desktop Open the latest desktop release and download its asset ending in -directory.mcpb. The release notes identify the bundle version and validation performed. Open the downloaded file (double-click, or drag it onto Claude Desktop). Claude Desktop unpacks the bundle and runs the server with its managed uv runtime, so no terminal or Python setup is needed. The 0.3.8 Python package source forwards an available account key for checkout ownership validation and distinguishes a checkout URL from an email-flow acknowledgement. An acknowledgement does not confirm email delivery. The separately pinned 0.3.6 desktop bundle does not include this checkout fix. Check the release page above for newer desktop bundles. The API key field in the install dialog is optional. Leave it blank to start keyless: signup, pricing, live previews, source quality, and coverage tools work immediately, and the parlayapi_signup tool can create a free key (1,000 credits/mo, no card) without leaving the chat. Add the key later any time under Settings, Extensions, ParlayAPI. The bundle source lives in mcpb/. Rebuild it with npx @anthropic-ai/mcpb pack mcpb/. Install (manual, any MCP client) Configure your MCP client Claude Desktop Edit ~/Library/Application Support/Claude/claude_desktop_config.json on macOS (%APPDATA%\Claude\claude_desktop_config.json on Windows): If you don't have a key yet, omit env entirely. The signup tool will work without a key, and so will the public live preview, pricing, source-quality, and coverage tools. Paid data tools will return an error telling you to set a key. After signup, paste your new key into env and restart Claude Desktop. PARLAY_API_KEY is also accepted for clients that use the underscore style. Cursor For the packaged integration, see Cursor plugin setup. Add to .cursor/mcp.json: OpenClaw OpenClaw can save stdio MCP server definitions with openclaw mcp set. This keyless config lets the assistant use signup, pricing, live preview, source-quality, and coverage-proof tools immediately: After the user signs up, add the API key for paid data tools: Run locally with Docker Build the stdio container from this repository: The process waits for MCP messages on stdin. It does not open a web server or make an API call just by starting. Connect it through an MCP client; do not use -t, which would allocate a terminal instead of the MCP stdio transport.