MCP LLM Bridge
About
A Simple bridge from Ollama to a fetch url mcp server
Details
- Author
- virajsharma2000
- Downloads
- 254
- Categories
- AI
Jump to
- Connects MCP servers to OpenAI‑compatible LLMs
- Works with any OpenAI‑compliant endpoint (e.g., Ollama, GPT‑4o)
- Configured via a single Python file (main.py)
- Supports local LLM models for privacy and offline use
- Uses uv for dependency management and installation
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP LLM BridgeCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repository, set up a Python virtual environment with uv, install the package, then edit src/mcp_llm_bridge/main.py to configure the MCP server parameters and LLM connection (API key, model, base URL). The bridge supports any endpoint implementing the OpenAI API specification, including Ollama running locally.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp llm bridge": {
"simple-mcp-ollama-bridge": {
"command": "uv",
"args": [
"venv"
]
}
}
}
}McpServers
{
"simple-mcp-ollama-bridge": {
"command": "uv",
"args": [
"venv"
]
}
}Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
