mcp-openapi-proxy

mcp-openapi-proxy is a Python package that implements a Model Context Protocol (MCP) server, designed to dynamically expose REST APIs—defined by OpenAPI specifications—as MCP tools. This facilitates seamless integration of OpenAPI-described APIs into MCP-based workflows.

Overview
Features
Installation
- MCP Ecosystem Integration
Modes of Operation
- FastMCP Mode (Simple Mode)
- Low-Level Mode (Default)
Environment Variables
Examples
Troubleshooting
License

Overview

The package offers two operational modes:

Low-Level Mode (Default): Dynamically registers tools corresponding to all API endpoints specified in an OpenAPI document (e.g., /chat/completions becomes chat_completions()).
FastMCP Mode (Simple Mode): Provides a streamlined approach, exposing a predefined set of tools (e.g., list_functions() and call_function()) based on static configurations.

Features

Dynamic Tool Generation: Automatically creates MCP tools from OpenAPI endpoint definitions.
Simple Mode Option: Offers a static configuration alternative via FastMCP mode.
OpenAPI Specification Support: Compatible with OpenAPI v3, with potential support for v2.
Flexible Filtering: Allows endpoint filtering through whitelisting by paths or other criteria.
Payload Authentication: Supports custom authentication via JMESPath expressions (e.g., for APIs like Slack that expect tokens in the payload, not the HTTP header).
Header Authentication: Uses Bearer by default for API_KEY in the Authorization header, customizable for APIs like Fly.io requiring Api-Key.
MCP Integration: Seamlessly integrates with MCP ecosystems for invoking REST APIs as tools.

Installation

Install the package directly from PyPI using the following command:

uvx mcp-openapi-proxy

MCP Ecosystem Integration

To incorporate mcp-openapi-proxy into your MCP ecosystem, configure it within your mcpServers settings. Below is a generic example:

{
    "mcpServers": {
        "mcp-openapi-proxy": {
            "command": "uvx",
            "args": ["mcp-openapi-proxy"],
            "env": {
                "OPENAPI_SPEC_URL": "${OPENAPI_SPEC_URL}",
                "API_KEY": "${OPENAPI_API_KEY}"
            }
        }
    }
}

Refer to the Examples section below for practical configurations tailored to specific APIs.

Modes of Operation

FastMCP Mode (Simple Mode)

Enabled by: Setting the environment variable OPENAPI_SIMPLE_MODE=true.
Description: Exposes a fixed set of tools derived from specific OpenAPI endpoints, as defined in the code.
Configuration: Relies on environment variables to specify tool behavior.

Low-Level Mode (Default)

Description: Automatically registers all valid API endpoints from the provided OpenAPI specification as individual tools.
Tool Naming: Derives tool names from normalized OpenAPI paths and methods.
Behavior: Generates tool descriptions from OpenAPI operation summaries and descriptions.

Environment Variables

OPENAPI_SPEC_URL: (Required) The URL to the OpenAPI specification JSON file (e.g., https://example.com/spec.json or file:///path/to/local/spec.json).
OPENAPI_LOGFILE_PATH: (Optional) Specifies the log file path.
OPENAPI_SIMPLE_MODE: (Optional) Set to true to enable FastMCP mode.
TOOL_WHITELIST: (Optional) A comma-separated list of endpoint paths to expose as tools.
TOOL_NAME_PREFIX: (Optional) A prefix to prepend to all tool names.
API_KEY: (Optional) Authentication token for the API, sent as Bearer <API_KEY> in the Authorization header by default.
API_AUTH_TYPE: (Optional) Overrides the default Bearer Authorization header type (e.g., Api-Key for GetZep).
STRIP_PARAM: (Optional) JMESPath expression to strip unwanted parameters (e.g., token for Slack).

Examples

For testing, you can run the uvx command as demonstrated in the examples, then interact with the MCP server via JSON-RPC messages to list tools and resources. See the "JSON-RPC Testing" section below.

This section provides examples to demonstrate configuration simplicity, authentication flexibility, and detailed tool generation.

Glama Example

Glama offers the most minimal configuration for mcp-openapi-proxy, requiring only the OPENAPI_SPEC_URL environment variable. This simplicity makes it ideal for quick testing.

1. Verify the OpenAPI Specification

Retrieve the Glama OpenAPI specification:

curl https://glama.ai/api/mcp/openapi.json

Ensure the response is a valid OpenAPI JSON document.

2. Configure mcp-openapi-proxy for Glama

Add the following configuration to your MCP ecosystem settings:

{
    "mcpServers": {
        "glama": {
            "command": "uvx",
            "args": ["mcp-openapi-proxy"],
            "env": {
                "OPENAPI_SPEC_URL": "https://glama.ai/api/mcp/openapi.json"
            }
        }
    }
}

3. Testing

Start the service with:

OPENAPI_SPEC_URL="https://glama.ai/api/mcp/openapi.json" uvx mcp-openapi-proxy

Then refer to the JSON-RPC Testing section for instructions on listing resources and tools.

Fly.io Example

Fly.io provides a simple API for managing machines, making it an ideal starting point. Obtain an API token from Fly.io documentation.

1. Verify the OpenAPI Specification

Retrieve the Fly.io OpenAPI specification:

curl https://raw.githubusercontent.com/abhiaagarwal/peristera/refs/heads/main/fly-machines-gen/fixed_spec.json

Ensure the response is a valid OpenAPI JSON document.

2. Configure mcp-openapi-proxy for Fly.io

Update your MCP ecosystem configuration:

{
    "mcpServers": {
        "flyio": {
            "command": "uvx",
            "args": ["mcp-openapi-proxy"],
            "env": {
                "OPENAPI_SPEC_URL": "https://raw.githubusercontent.com/abhiaagarwal/peristera/refs/heads/main/fly-machines-gen/fixed_spec.json",
                "API_KEY": "<your_flyio_token_here>"
            }
        }
    }
}

OPENAPI_SPEC_URL: Points to the Fly.io OpenAPI specification.
API_KEY: Your Fly.io API token (replace <your_flyio_token_here>). Find it in ~/.fly/config.yml under access_token.
API_AUTH_TYPE: Set to Api-Key for Fly.io’s header-based authentication (overrides default Bearer).

3. Testing

After starting the service, refer to the JSON-RPC Testing section for instructions on listing resources and tools.

Render Example

Render offers infrastructure hosting that can be managed via an API. The provided configuration file examples/render-claude_desktop_config.json demonstrates how to set up your MCP ecosystem quickly with minimal settings.

1. Verify the Configuration File

Inspect the configuration file to ensure it meets your deployment needs. For example, run the following command:

cat examples/render-claude_desktop_config.json

2. Configure mcp-openapi-proxy for Render

Add the following configuration to your MCP ecosystem settings (typically in your MCP settings file):

{
    "mcpServers": {
        "render": {
            "command": "uvx",
            "args": ["mcp-openapi-proxy"],
            "env": {
                "OPENAPI_SPEC_URL": "https://api-docs.render.com/openapi/6140fb3daeae351056086186",
                "TOOL_WHITELIST": "/services,/maintenance",
                "API_KEY": "your_render_token_here"
            }
        }
    }
}

3. Testing

Launch the proxy with your Render configuration:

OPENAPI_SPEC_URL="https://api-docs.render.com/openapi/6140fb3daeae351056086186" TOOL_WHITELIST="/services,/maintenance" API_KEY="your_render_token_here" uvx mcp-openapi-proxy

After starting the service, refer to the JSON-RPC Testing section for instructions on listing resources and tools.

Slack Example

Slack’s API showcases stripping unnecessary token payload using JMESPath. Obtain a bot token from Slack API documentation.

1. Verify the OpenAPI Specification

Retrieve the Slack OpenAPI specification:

curl https://raw.githubusercontent.com/slackapi/slack-api-specs/master/web-api/slack_web_openapi_v2.json

Ensure it’s a valid OpenAPI JSON document.

2. Configure mcp-openapi-proxy for Slack

Update your configuration:

{
    "mcpServers": {
        "slack": {
            "command": "uvx",
            "args": ["mcp-openapi-proxy"],
            "env": {
                "OPENAPI_SPEC_URL": "https://raw.githubusercontent.com/slackapi/slack-api-specs/master/web-api/slack_web_openapi_v2.json",
                "TOOL_WHITELIST": "/chat,/bots,/conversations,/reminders,/files,/users",
                "API_KEY": "<your_slack_bot_token, starts with xoxb>",
                "STRIP_PARAM": "token"
            }
        }
    }
}

OPENAPI_SPEC_URL: Slack’s OpenAPI spec URL.
TOOL_WHITELIST: Limits tools to useful endpoint groups (e.g., chat, conversations, users).
API_KEY: Your Slack bot token (e.g., xoxb-...—replace <your_slack_bot_token>).
STRIP_PARAM: Removes the token field from the request payload, as this is handled by the HTTP Header.
TOOL_NAME_PREFIX: Prepends slack_ to tool names (e.g., slack_get_users_info).

3. Resulting Tools

Example tools in FastMCP mode:

slack_get_users_info: Retrieves user info (e.g., for USLACKBOT).
slack_get_conversations_list: Lists channels in the workspace.
slack_post_chat_postmessage: Posts a message to a channel.

4. Testing

After starting the service, refer to the JSON-RPC Testing section for instructions on listing resources and tools.

GetZep Example

GetZep offers a free cloud API for memory management with detailed endpoints. Since GetZep did not provide an official OpenAPI specification, this project includes a generated spec hosted on GitHub for convenience. This approach—creating a spec from documentation—is a reusable pattern: users can similarly generate OpenAPI specs for any REST API and reference them locally (e.g., file:///path/to/spec.json). Obtain an API key from GetZep's documentation.

1. Verify the OpenAPI Specification

Retrieve the project-provided GetZep OpenAPI specification:

curl https://raw.githubusercontent.com/matthewhand/mcp-openapi-proxy/refs/heads/main/examples/getzep.swagger.json

Ensure it’s a valid OpenAPI JSON document. Alternatively, generate your own spec and use file:// to point to a local file.

2. Configure mcp-openapi-proxy for GetZep

Update your configuration:

{
    "mcpServers": {
        "getzep": {
            "command": "uvx",
            "args": ["mcp-openapi-proxy"],
            "env": {
                "OPENAPI_SPEC_URL": "https://raw.githubusercontent.com/matthewhand/mcp-openapi-proxy/refs/heads/main/examples/getzep.swagger.json",
                "TOOL_WHITELIST": "/sessions",
                "API_KEY": "<your_getzep_api_key>",
                "API_AUTH_TYPE": "Api-Key",
                "TOOL_NAME_PREFIX": "zep_"
            }
        }
    }
}

OPENAPI_SPEC_URL: Points to the project-provided GetZep Swagger spec (or use file:///path/to/your/spec.json for a local file).
TOOL_WHITELIST: Limits to /sessions endpoints.
API_KEY: Your GetZep API key.
API_AUTH_TYPE: Uses Api-Key for header-based authentication (overrides default Bearer).
TOOL_NAME_PREFIX: Prepends getzep_ to tools.

3. Resulting Tools

Example tools:

getzep_post_sessions: Adds a session.
getzep_get_sessions_memory: Retrieves session memory.

Full list (abbreviated):

{
  "tools": [
    {
      "name": "getzep_post_sessions",
      "description": "Add Session",
      "inputSchema": {"type": "object", "properties": {}, "required": []}
    },
    {
      "name": "getzep_get_sessions_memory",
      "description": "Get Session Memory",
      "inputSchema": {
        "type": "object",
        "properties": {
          "sessionId": {"type": "string", "description": "ID of the session"},
          "lastn": {"type": "integer", "description": "Number of recent entries"}
        },
        "required": ["sessionId"]
      }
    }
  ]
}

4. Testing

After starting the service, refer to the JSON-RPC Testing section for instructions on listing resources and tools.

OPENAPI_SPEC_URL="file:///path/to/your/getzep.swagger.json" API_KEY="<your_getzep_api_key>" API_AUTH_TYPE="Api-Key" uvx mcp-openapi-proxy

Troubleshooting

JSON-RPC Testing

For alternative testing, you can interact with the MCP server via JSON-RPC. After starting the server, paste the following initialization message:

{"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"claude-ai","version":"0.1.0"}},"jsonrpc":"2.0","id":0}

Expected response:

{"jsonrpc":"2.0","id":0,"result":{"protocolVersion":"2024-11-05","capabilities":{"experimental":{},"prompts":{"listChanged":false},"resources":{"subscribe":false,"listChanged":false},"tools":{"listChanged":false}},"serverInfo":{"name":"sqlite","version":"0.1.0"}}}

Then paste these follow-up messages:

{"method":"notifications/initialized","jsonrpc":"2.0"}
{"method":"resources/list","params":{},"jsonrpc":"2.0","id":1}
{"method":"tools/list","params":{},"jsonrpc":"2.0","id":2}

Missing OPENAPI_SPEC_URL: Ensure it’s set to a valid OpenAPI JSON URL or local file path.
Invalid Specification: Verify the OpenAPI document is standard-compliant.
Tool Filtering Issues: Check TOOL_WHITELIST matches desired endpoints.
Authentication Errors: Confirm API_KEY and API_AUTH_TYPE are correct.
Logging: Set DEBUG=true for detailed output to stderr.
Test Server: Run directly:

uvx mcp-openapi-proxy

License

This project is licensed under the MIT License. See the LICENSE file for details.

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