What is MCP?
MCP (Model Context Protocol) is a standardized protocol for AI model interactions, similar to the OpenAI API specification.
@ivanuser
Basic information
Connect Open WebUI to MCP (Model Context Protocol) servers
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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The MCP Connector for Open WebUI is a Pipe Function that lets users connect Open WebUI to Model Context Protocol (MCP) servers. It enables the use of MCP‑compatible AI models directly inside the Open WebUI interface, acting as a bridge between the two systems.
Install via pip install git+https://github.com/ivanuser/open-webui-mcp-connector.git or import it in Open WebUI (Workspace > Functions). Then configure one or more MCP servers in the function’s MCP_SERVERS JSON field — provide a name, URL, and optional API key. Save and enable the function; models automatically appear in the model selector with a configurable prefix (default MCP/).
MCP (Model Context Protocol) is a standardized protocol for AI model interactions, similar to the OpenAI API specification.
In the function settings, add each server as a JSON object inside the `MCP_SERVERS` array with its `name`, `url`, and optional `api_key`.
Check that the server URL is correct, your network can reach it, and DNS resolution is working properly.
Increase the `CONNECTION_TIMEOUT` value (default 30 seconds), verify the server is not overloaded, and confirm network connectivity.
Set `DEBUG_MODE` to `true` in the function settings to get detailed logs for troubleshooting.
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