What environment variables are required?

OPENAI_API_KEY must be set to your OpenAI API key; PYTHONPATH should include the path to the mcp-server-openai source.

Is there a license for this server?

Yes, it is licensed under the MIT License.

How can I run tests for this server?

Run pytest from the project root with the command: pytest -v test_openai.py -s.

MCP Server Openai

openaimcppythonclaudeapi

MCP server to query OpenAI models directly from Claude via MCP protocol.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾

No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for pierrebrunelle/mcp-server-openai, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.

Overview

This MCP server enables querying OpenAI language models directly from the Claude client using the Model Context Protocol. It acts as a bridge allowing Claude to send requests to OpenAI's API and receive responses. Use this server when you want to integrate OpenAI models into Claude without changing Claude's core code.

Use cases

Send prompts from Claude to OpenAI models

Receive and process OpenAI model completions within Claude

Integrate OpenAI API access into MCP-compatible clients

Test OpenAI API interactions via MCP protocol

Key features

Supports OpenAI API calls through MCP

Configurable via environment variables

Runs as a Python module

Compatible with Claude MCP client

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Server Openai.

Extracted Tool Capabilities

Supports OpenAI API calls through MCP

Configurable via environment variables

Runs as a Python module

Compatible with Claude MCP client

Documentation Overview

OpenAI MCP Server

Query OpenAI models directly from Claude using MCP protocol.

preview

Setup

Add to claude_desktop_config.json:

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"

      }

    }

  }

}

Development

bash

git clone https://github.com/pierrebrunelle/mcp-server-openai

cd mcp-server-openai

pip install -e .

Testing

python

# 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

Read the full README →View source on GitHub →

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Frequently Asked Questions about MCP Server Openai

Add an entry to claude_desktop_config.json specifying the command to run the Python module and set the OPENAI_API_KEY environment variable.

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Technical Specs & Signals

CategoryOther Tools and Integrations

PricingBring your own API key (usage-based cost)

4/5 checks healthy over the last 32d

33Quality signal: Emerging · 33/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools12/30

Adoption & activity3/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 🛠️ Other Tools and Integrations →Alternatives to MCP Server Openai →Install in Claude Desktop Install in Cursor Install in VS Code

Overview

Use cases

Send prompts from Claude to OpenAI models

Receive and process OpenAI model completions within Claude

Integrate OpenAI API access into MCP-compatible clients

Test OpenAI API interactions via MCP protocol

Key features

Supports OpenAI API calls through MCP

Configurable via environment variables

Runs as a Python module

Compatible with Claude MCP client

Documentation Overview

OpenAI MCP Server

Query OpenAI models directly from Claude using MCP protocol.

preview

Setup

Add to claude_desktop_config.json:

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"

      }

    }

  }

}

Development

bash

git clone https://github.com/pierrebrunelle/mcp-server-openai

cd mcp-server-openai

pip install -e .

Testing

python

# 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

Frequently Asked Questions about MCP Server Openai

Add an entry to claude_desktop_config.json specifying the command to run the Python module and set the OPENAI_API_KEY environment variable.