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API Tester MCP Server

A Model Context Protocol server that allows Claude to make API requests on your behalf, providing to...

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Updated Feb 15, 2026
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A Model Context Protocol server that allows Claude to make API requests on your behalf, providing tools for testing various APIs including HTTP requests and OpenAI integrations without sharing your API keys in the chat.
  1. Obtain an OpenAI API key

    1. Go to your OpenAI account dashboard (platform.openai.com) and sign in.
    2. Open the “API keys” (or “View API keys”) section of the dashboard.
    3. Click “Create new secret key” (or similar), give it a name, and copy the generated key immediately (it is shown only once).
  2. Add the key to the FastMCP connection interface (use the “Install Now” button)

    1. In the FastMCP connection UI, click the “Install Now” button to open the environment-variable entry form.
    2. For the variable name enter: OPENAI_API_KEY
    3. For the value paste the API key you copied from OpenAI.
    4. Save/Confirm the installation so the MCP server can read the variable.
  3. (Optional) Add a local .env for development

    1. In your project root create a file named .env (copy from .env.example if present).
    2. Add the line:
      OPENAI_API_KEY=your_openai_api_key_here
    3. Ensure .env is listed in .gitignore so the key is not committed.
  4. Verify and run

    1. Confirm the key is set in the FastMCP connection interface.
    2. Start the server (e.g., run python main.py) and test an OpenAI tool (for example, use the provided openai_chat_completion example) to verify the key is working.
  5. Security reminder

    1. Treat the API key as a secret—do not paste it into chat or share it publicly.
    2. Revoke and create a new key from the OpenAI dashboard if the key is ever exposed.

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