polymarket-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@polymarket-mcpFind active markets about the Fed rate decision"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
polymarket-mcp
AI-agent ready FastMCP server for Polymarket market discovery, wallet analytics, and public CLOB data.
polymarket-mcp gives MCP clients a typed, read-only interface for asking questions like:
"Find active markets about inflation and summarize liquidity."
"Inspect this wallet's current positions and recent activity."
"Compare order book depth, midpoint, and spread for these outcome tokens."
"Pull historical prices so an agent can reason about market movement."
This project is intentionally read-only in 0.1.x. It does not place trades, sign orders, manage keys, or require wallet credentials.
Package identities
Purpose | Value |
PyPI distribution |
|
Python package |
|
CLI command |
|
Docs |
Related MCP server: polymarket-research
Why agents use it
Typed outputs reduce brittle prompt parsing and normalize inconsistent upstream JSON.
Tool docstrings are written for LLM routing, so agents can choose the right surface quickly.
Namespaces keep workflows clear:
gammafor discovery,datafor wallets,clobfor live market microstructure.Real MCP end-to-end tests exercise both in-process client sessions and subprocess stdio transport.
No authenticated trading actions are exposed, which keeps exploratory agents inside a safer read-only boundary.
Agent workflow
flowchart LR
Agent["AI agent / MCP client"] --> MCP["polymarket-mcp"]
MCP --> Gamma["gamma: discover markets and events"]
MCP --> Data["data: inspect wallets and trades"]
MCP --> Clob["clob: read books, quotes, history"]
Gamma --> GAPI["Gamma API"]
Data --> DAPI["Data API"]
Clob --> CAPI["Public CLOB API"]Tool surfaces
Surface | Agent job | Example outputs |
| discover and inspect markets/events | market metadata, event details, tags |
| analyze public wallet behavior | positions, activity, trades |
| reason about live prices and liquidity | books, quotes, midpoint, spread, history |
Install
pip install polymarket-mcp-server
polymarket-mcpRun ephemerally with uvx:
uvx --from polymarket-mcp-server polymarket-mcpMCP client config
Use this stdio entry in an MCP client configuration:
{
"mcpServers": {
"polymarket": {
"command": "uvx",
"args": ["--from", "polymarket-mcp-server", "polymarket-mcp"]
}
}
}Local development
This repository uses PDM.
pdm install -G dev
pdm install -G docs
pdm run mcp-inspect # inspect the composed MCP surface
pdm run mcp-run # run the stdio MCP server
pdm run test # run pytest
pdm run test-mcp # run real MCP client/server e2e tests
pdm run all # tests + strict docs + MCP inspectRun the package entrypoint directly:
pdm run python -m polymarket_mcp.serverSafety model
polymarket-mcp is built for research, monitoring, and agent reasoning over public data. It intentionally excludes:
private key handling
authenticated trading
order placement or cancellation
wallet mutation
custody or signing flows
If you build a trading layer on top, keep it separate from this read-only server and require explicit human authorization.
Project layout
src/polymarket_mcp/
models/ Pydantic domain and tool I/O models
services/ upstream API normalization layers
servers/ FastMCP tool and resource surfaces
server.py composed parent MCP server
tests/ unit and MCP end-to-end coverage
docs/ Sphinx documentationDocumentation
Hosted docs: https://polymarket-mcp.readthedocs.io/en/latest/
Docs source:
docs/using native Sphinx reStructuredTextLocal build:
pdm run docsLocal preview:
pdm run docs-serve
Release notes
Releases publish from Git tags through GitHub Actions trusted publishing. PyPI trusted publishing is configured for pr1m8/polymarket-mcp, workflow release.yml, environment pypi.
Maintenance
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