by Open WebUI
By Open WebUI. A simple, secure MCP-to-OpenAPI proxy server. Expose any MCP server as a REST API with automatic OpenAPI
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GitHub stars
Converts any MCP server into a standard REST API with automatic OpenAPI documentation. Makes MCP tools compatible with existing HTTP-based tools and workflows.
MCPO (MCP-to-OpenAPI) is a community-built MCP server published by Open WebUI that provides AI assistants with tools and capabilities via the Model Context Protocol. By Open WebUI. A simple, secure MCP-to-OpenAPI proxy server. Expose any MCP server as a REST API with automatic OpenAPI It is categorized under developer tools.
You can install MCPO (MCP-to-OpenAPI) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
MCPO (MCP-to-OpenAPI) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
MCPO (MCP-to-OpenAPI) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: MCPO (MCP-to-OpenAPI) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired MCPO (MCP-to-OpenAPI) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Useful MCP listing: MCPO (MCP-to-OpenAPI) is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated MCPO (MCP-to-OpenAPI) against two servers with overlapping tools; this profile had the clearer scope statement.
MCPO (MCP-to-OpenAPI) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired MCPO (MCP-to-OpenAPI) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend MCPO (MCP-to-OpenAPI) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend MCPO (MCP-to-OpenAPI) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
MCPO (MCP-to-OpenAPI) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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Expose any MCP tool as an OpenAPI-compatible HTTP server—instantly.
mcpo is a dead-simple proxy that takes an MCP server command and makes it accessible via standard RESTful OpenAPI, so your tools "just work" with LLM agents and apps expecting OpenAPI servers.
No custom protocol. No glue code. No hassle.
MCP servers usually speak over raw stdio, which is:
mcpo solves all of that—without extra effort:
What feels like "one more step" is really fewer steps with better outcomes.
mcpo makes your AI tools usable, secure, and interoperable—right now, with zero hassle.
We recommend using uv for lightning-fast startup and zero config.
uvx mcpo --port 8000 --api-key "top-secret" -- your_mcp_server_command
Or, if you’re using Python:
pip install mcpo
mcpo --port 8000 --api-key "top-secret" -- your_mcp_server_command
To use an SSE-compatible MCP server, simply specify the server type and endpoint:
mcpo --port 8000 --api-key "top-secret" --server-type "sse" -- http://127.0.0.1:8001/sse
You can also provide headers for the SSE connection:
mcpo --port 8000 --api-key "top-secret" --server-type "sse" --header '{"Authorization": "Bearer token", "X-Custom-Header": "value"}' -- http://127.0.0.1:8001/sse
To use a Streamable HTTP-compatible MCP server, specify the server type and endpoint:
mcpo --port 8000 --api-key "top-secret" --server-type "streamable-http" -- http://127.0.0.1:8002/mcp
You can also run mcpo via Docker with no installation:
docker run -p 8000:8000 ghcr.io/open-webui/mcpo:main --api-key "top-secret" -- your_mcp_server_command
Example:
uvx mcpo --port 8000 --api-key "top-secret" -- uvx mcp-server-time --local-timezone=America/New_York
That’s it. Your MCP tool is now available at http://localhost:8000 with a generated OpenAPI schema — test it live at http://localhost:8000/docs.
🤝 To integrate with Open WebUI after launching the server, check our docs.
--root-path)If you need to serve mcpo behind a reverse proxy or under a subpath (e.g., /api/mcpo), use the --root-path argument:
mcpo --port 8000 --root-path "/api/mcpo" --api-key "top-secret" -- your_mcp_server_command
All routes will be served under the specified root path, e.g. http://localhost:8000/api/mcpo/memory.
You can serve multiple MCP tools via a single config file that follows the Claude Desktop format.
Enable hot-reload mode with --hot-reload to automatically watch your config file for changes and reload servers without downtime:
Start via:
mcpo --config /path/to/config.json
Or with hot-reload enabled:
mcpo --config /path/to/config.json --hot-reload
Example config.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-memory"]
},
"time": {
"command": "uvx",
"args": ["mcp-server-time", "--local-timezone=America/New_York"],
"disabledTools": ["convert_time"] // Disable specific tools if needed
},
"mcp_sse": {
"type": "sse", // Explicitly define type
"url": "http://127.0.0.1:8001/sse",
"headers": {
"Authorization": "Bearer token",
"X-Custom-Header": "value"
}
},
"mcp_streamable_http": {
"type": "streamable-http",
"url": "http://127.0.0.1:8002/mcp"
} // Streamable HTTP MCP Server
}
}
Each tool will be accessible under its own unique route, e.g.:
Each with a dedicated OpenAPI schema and proxy handler. Access full schema UI at: http://localhost:8000/<tool>/docs (e.g. /memory/docs, /time/docs)
mcpo supports OAuth 2.1 authentication for MCP servers that require it. The implementation defaults to dynamic client registration, so most servers only need minimal configuration:
{
"mcpServers": {
"oauth-protected-server": {
"type": "streamable-http",
"url": "http://localhost:8000/mcp",
"oauth": {
"server_url": "http://localhost:8000"
}
}
}
}
Basic Options:
server_url (required): OAuth server base URLstorage_type: "file" (persistent) or "memory" (session-only, default: "file")callback_port: Local port for OAuth callback (default: 3030)use_loopback: Auto-open browser for auth (default: true)Advanced Options (rarely needed): For servers that don't support dynamic client registration, you can specify static client metadata:
{
"mcpServers": {
"legacy-oauth-server": {
"type": "streamable-http",
"url": "http://api.example.com/mcp",
"oauth": {
"server_url": "http://api.example.com",
"client_metadata": {
"client_name": "My MCPO Client",
"redirect_uris": ["http://localhost:3030/callback"]
}
}
}
}
}
Note: Avoid setting
scope,authorization_endpoint, ortoken_endpointin the config. These are automatically discovered from the server's OAuth metadata during the dynamic registration flow.
On first connection, mcpo will:
~/.mcpo/tokens/ for file storage)OAuth is supported for streamable-http server types. See OAUTH_GUIDE.md for detailed documentation.
To contribute or run tests locally:
Set up the environment:
# Clone the repository
git clone https://github.com/open-webui/mcpo.git
cd mcpo
# Install dependencies (including dev dependencies)
uv sync --dev
Run tests:
uv run pytest
Running Locally with Active Changes:
To run mcpo with your local modifications from a specific branch (e.g., my-feature-branch):
# Ensure you are on your development branch
git checkout my-feature-branch
# Make your code changes in the src/mcpo directory or elsewhere
# Run mcpo using uv, which will use your local, modified code
# This command starts mcpo on port 8000 and proxies your_mcp_server_command
uv run mcpo --port 8000 -- your_mcp_server_command
# Example with a test MCP server (like mcp-server-time):
# uv run mcpo --port 8000 -- uvx mcp-server-time --local-timezone=America/New_York
This allows you to test your changes interactively before committing or creating a pull request. Access your locally running mcpo instance at http://localhost:8000 and the auto-generated docs at http://localhost:8000/docs.
MIT
We welcome and strongly encourage contributions from the community!
Whether you're fixing a bug, adding features, improving documentation, or just sharing ideas—your input is incredibly valuable and helps make mcpo better for everyone.
Getting started is easy:
Not sure where to start? Feel free to open an issue or ask a question—we’re happy to help you find a good first task.
✨ Let's build the future of interoperable AI tooling together!
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.