Discover +25 AI Finance apps & tools

Pros: Exposes live Polymarket trading quotes through MCP queries. Returns order-book depth and historical trading series for analysis. Open-source implementation enables community auditing. Integrates with MCP hosts such as Claude Desktop and Zed.

Cons: Does not perform trade execution, only data retrieval. Requires an MCP host and Node.js runtime to operate. Output accuracy depends on Polymarket public endpoints.

Pros: Automatically registers journal files as MCP resources for agent browsing. Generates standard financial statements using the local hledger engine. Supports previewing writes with a 'dry-run' mode before committing.

Cons: Requires a Model Context Protocol host, Node.js, and hledger CLI. Targeted at technically skilled users rather than nontechnical bookkeepers. Write capabilities require active validation to avoid accidental changes.