Kalshi MCP Server
Wire a self-hosted MCP server so your agent can interact with Kalshi prediction markets through DFlow on Solana.
Overview
Kalshi MCP is a Build-phase self-hosted MCP server for Kalshi prediction market trading via DFlow on Solana.
What is this MCP server?
- Self-hosted Kalshi MCP server (v0.3.0) from joinQuantish/kalshi-mcp
- Prediction market access via DFlow on Solana
- Finance-focused tooling for agent-driven market workflows
- GitHub-hosted server you run locally or on your own infra
- Server version 0.3.0 in MCP registry metadata
- Repository: github.com/joinQuantish/kalshi-mcp
- Described integration path: Kalshi via DFlow on Solana
Community signal: 1 GitHub stars.
What problem does it solve?
Agents cannot safely or consistently trade or query Kalshi markets without a dedicated self-hosted bridge to DFlow and Solana.
Who is it for?
Solo quants and indie agent builders automating Kalshi research or execution with their own infrastructure.
Skip if: Builders who want managed brokerage with no self-hosting, or anyone avoiding prediction-market and crypto compliance risk.
What do I get? / Deliverables
After you host and register the server, your agent gets MCP tools aimed at Kalshi prediction market workflows on Solana.
- Running self-hosted Kalshi MCP server
- Agent-invokable tools for Kalshi market workflows via DFlow
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Journey fit
Trading and market APIs are built and integrated before you rely on them in production dashboards or automated strategies. Integrations subphase captures external exchange connectivity rather than growth analytics or launch distribution.
How it compares
Self-hosted finance MCP integration, not a curated skill pack or backtesting notebook.
Common Questions / FAQ
Who is Kalshi MCP for?
It is for developers building agent workflows around Kalshi prediction markets who will self-host the MCP server and manage Solana/DFlow setup.
When should I use Kalshi MCP?
Use it while building integrations when you need structured agent access to Kalshi via DFlow rather than ad-hoc API scripts.
How do I add Kalshi MCP to my agent?
Clone or deploy joinQuantish/kalshi-mcp, configure credentials and Solana/DFlow access per the repo, add the MCP server entry to Claude Code or Cursor, then restart the client.