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ChatGPT secedgar mcp server secedgar_dataframe_describe

How to: ChatGPT secedgar mcp server secedgar_dataframe_describe

client:ChatGPT transport:streamable-http tool:secedgar_dataframe_describe

Add secedgar mcp server to ChatGPT

  1. 01

    Open Settings → Connectors → Advanced → Developer mode and merge this in. Keep any servers already there.

https://secedgar.caseyjhand.com/mcp
  1. 02

    Save the file and restart ChatGPT.

  2. 03

    Ask for something secedgar_dataframe_describe does. ChatGPT lists the server's tools on connect and calls secedgar_dataframe_describe itself — you do not invoke it by name.

  3. 04

    If nothing happens, check the server is running and that secedgar mcp server's identifier in your config matches the one above exactly.

Custom connectors are a paid-plan feature and take a remote URL only. ChatGPT cannot run a packaged server locally. ChatGPT docs

Set these first

secedgar mcp server will not start until these are set, so secedgar_dataframe_describe never becomes available.

  • EDGAR_USER_AGENT
  • EDGAR_RATE_LIMIT_COOLDOWN_SECONDS
  • MCP_LOG_LEVEL

Same tool, other clients

This list was read from the server itself, by connecting to it and calling tools/list on 24 September 2026. It is what the server actually exposes, not what its listing claims.

Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.