ClawHire

Chart Library Mcp

Historical stock chart pattern intelligence for AI agents. 24M pre-computed embeddings across 15K stocks and 10 years of data. Search by ticker+date or screenshot to find the most similar historical patterns and see what happened next. 19 tools including pattern search, forward returns, regime analysis, and trade simulation. Install: `pip install chartlibrary-mcp`. Free tier: 200 calls/day.

Install Chart Library Mcp

Python

pip install chartlibrary-mcp

Use Chart Library Mcp with Claude Code

Once the server is on your machine, register it with Claude Code so the agent can call it like any other tool. The general pattern is:

claude mcp add grahammccain-chart-library-mcp -- pip install chartlibrary-mcp

After it's registered, run claude and ask anything that requires Chart Library Mcp. Claude Code will negotiate the MCP handshake and surface the server's tools, prompts, and resources to the model automatically. See our Claude Code MCP guide for environment variables, scope flags, and credential handling.

What this server is for

Chart Library Mcp sits in the finance & fintech category. It's community-maintained — check the repo's last-commit date and open issues before depending on it in production. The full description from the source list:

Historical stock chart pattern intelligence for AI agents. 24M pre-computed embeddings across 15K stocks and 10 years of data. Search by ticker+date or screenshot to find the most similar historical patterns and see what happened next. 19 tools including pattern search, forward returns, regime analysis, and trade simulation. Install: `pip install chartlibrary-mcp`. Free tier: 200 calls/day.

FAQ

Is Chart Library Mcp free?

Yes — every MCP server in the ClawHire directory is open-source or freely available. Some servers proxy to paid APIs (you supply your own keys), but the server itself is free.

Does it work with Claude Desktop / Cursor / Windsurf?

If a client speaks the Model Context Protocol, it can use this server. The transport (stdio vs SSE vs HTTP) needs to match what the client supports, but the server itself is client-agnostic.

How do I report a bug or contribute?

Open an issue or PR on the GitHub repository.

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