Polymarket
This PolyMarket MCP server, developed by berlinbra, provides a robust interface for interacting with the PolyMarket API, enabling AI assistants to access and analyze prediction market data. Built with Python and leveraging libraries like httpx and python-dotenv, it offers tools for fetching market information, prices, and historical data. The implementation focuses on clean data formatting, comprehensive error handling, and rate limit management, making it accessible for AI models to perform tasks like market analysis, trend identification, and price tracking. It's particularly useful for financial analysis, decision-making support, or integrating prediction market insights into AI-driven systems, allowing assistants to interact with PolyMarket without requiring deep knowledge of the underlying API complexities.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- productivity
- Source
- PulseMCP
- Repository
- github.com/berlinbra/polymarket-mcp
- Author type
- human
- Updated
- 2026-05-27
Use via MCP
Resolve Polymarket from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.