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MCP Server Ollama Bridge

by jaspertvdm

Connects MCP clients to a local Ollama instance, with streaming support for its available models.

Install MCP Server Ollama Bridge

Pick your client, then add it in one click or paste the config.

STDIOPython
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "jaspertvdm-mcp-server-ollama-bridge": {
      "command": "uvx",
      "args": [
        "mcp-server-ollama-bridge"
      ],
      "env": {
        "OLLAMA_HOST": "YOUR_VALUE_HERE"
      }
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Values are written into the snippet above so you can paste it as is. They never leave your browser.

We couldn’t confirm it starts correctly

We ran the install command but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.

uvx mcp-server-ollama-bridge

No response to initialize.

This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 1mo ago.

Overview

The jaspertvdm/mcp-server-ollama-bridge MCP server connects MCP clients to a local Ollama server. It uses the Ollama endpoint configured through OLLAMA_HOST and supports Ollama models, including Llama, Mistral, and Qwen. Responses can be streamed through the MCP connection. Reach for it when an MCP-compatible client needs access to locally hosted Ollama models.

Use cases

  • Run local Llama, Mistral, or Qwen models from an MCP client
  • Connect Claude Desktop to an Ollama instance
  • Stream responses from locally hosted Ollama models
  • Route MCP requests to an Ollama server in Docker or on the host

Key features

  • Local Ollama server bridge
  • Support for Ollama models
  • Streaming responses
  • Configurable Ollama endpoint
  • Docker deployment option

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 1d ago

Recent health check succeeded.

5/5 checks healthy over the last 80d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 9d ago via OSV.dev · mcp-server-ollama-bridge (PyPI)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars4Stargazers on the source repository.
Last commit4mo agoMost recent push to the default branch.
Install checkInconclusiveDidn't respond in our test window — often a slow first install.
Directory activity7 viewsConfig copies, upvotes, and views on AllMCPs.

How MCP Server Ollama Bridge works

What jaspertvdm/mcp-server-ollama-bridge MCP server does

The jaspertvdm/mcp-server-ollama-bridge MCP server exposes a local Ollama installation to MCP clients. It is intended for running models hosted by Ollama through an MCP-compatible application rather than connecting directly to a remote model provider.

The bridge supports Ollama models generally, including the Llama, Mistral, and Qwen model families mentioned in the project description.

How it works

The MCP server acts as the connection layer between an MCP client and the Ollama HTTP service. By default, it looks for Ollama at http://localhost:11434. The target can be changed with the OLLAMA_HOST environment variable, which accepts the URL of the Ollama server.

For a local setup, the bridge process runs alongside the MCP client while Ollama runs on the host machine. Docker is also supported through the repository's Docker image, with the container configured to reach a host Ollama instance.

Setup and configuration

Install the package from PyPI with:

Terminal
pip install mcp-server-ollama-bridge

After installation, configure the MCP client to start mcp-server-ollama-bridge. Set OLLAMA_HOST to the Ollama URL, or omit it to use the default http://localhost:11434.

A Docker-based setup can build the repository image and run it interactively. The documented Docker example sets OLLAMA_HOST to http://host.docker.internal:11434, which is intended to let the container connect to Ollama on the host system.

Tools and capabilities

The jaspertvdm/mcp-server-ollama-bridge MCP server provides these documented capabilities:

  • Connect MCP clients to a local Ollama LLM server.
  • Use Ollama models through MCP.
  • Support all Ollama models, subject to what the connected Ollama installation makes available.
  • Stream model responses.
  • Select the Ollama endpoint through OLLAMA_HOST.

It should therefore be evaluated as an Ollama access bridge rather than assumed to provide administrative controls for downloading, deleting, or inspecting models.

Limitations and notes

The bridge depends on a separately running Ollama server. Installing the MCP package alone does not provide a model runtime or model files. The default endpoint assumes Ollama is available locally, while Docker deployments need network configuration that allows the container to reach the host service.

No API key or other credential is documented for this local connection. The project is released under the MIT license.

Reviews

No reviews yet — be the first to share how it worked for you.

Frequently Asked Questions about MCP Server Ollama Bridge

Install it from PyPI with `pip install mcp-server-ollama-bridge`.

Add `mcp-server-ollama-bridge` as the command in Claude Desktop's MCP configuration and set `OLLAMA_HOST`, typically to `http://localhost:11434`.

It uses `OLLAMA_HOST` to specify the Ollama server URL. The default is `http://localhost:11434`.

Yes. Streaming responses are listed as a project feature.

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