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OpenAI MCP Server

Query OpenAI models directly from Claude using MCP protocol.

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Setup

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "openai-server": {
      "command": "python",
      "args": ["-m", "src.mcp_server_openai.server"],
      "env": {
        "PYTHONPATH": "C:/path/to/your/mcp-server-openai",
        "OPENAI_API_KEY": "your-key-here"
      }
    }
  }
}

Related MCP server: OpenAI MCP Server

Development

git clone https://github.com/pierrebrunelle/mcp-server-openai
cd mcp-server-openai
pip install -e .

Testing

# Run tests from project root
pytest -v test_openai.py -s

# Sample test output:
Testing OpenAI API call...
OpenAI Response: Hello! I'm doing well, thank you for asking...
PASSED

License

MIT License

Available Tools

1 tool
ask-openaiC

Ask my assistant models a direct question

Inputs: query (required), model, temperature, max_tokens.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    C2.7/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'ask-openai' has a clear and singular purpose, making it impossible for an agent to misselect between tools.

    Naming Consistency5/5

    Since there is only one tool, naming consistency is inherently perfect. The tool name 'ask-openai' follows a verb_noun pattern, and with no other tools to compare against, there are no inconsistencies.

    Tool Count2/5

    A single tool is generally too few for a server's purpose, as it limits functionality and scope. For an 'OpenAI MCP Server', one might expect more comprehensive coverage such as different model interactions, fine-tuning, or other API endpoints, making this feel thin and under-scoped.

    Completeness1/5

    The tool set is severely incomplete for an 'OpenAI MCP Server'. With only a direct question tool, it lacks essential operations like model listing, chat completions, embeddings, or file handling, which are core to OpenAI's API. This will likely cause agent failures due to missing functionality.

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