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MCP Ollama

MCP Ollama

by fastmcp-me
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Python
Local

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MCP Ollama

A Model Context Protocol (MCP) server for integrating Ollama with Claude Desktop or other MCP clients.

Requirements

  • Python 3.10 or higher

  • Ollama installed and running (https://ollama.com/download)

  • At least one model pulled with Ollama (e.g., ollama pull llama2)

Configure Claude Desktop

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "ollama": {
      "command": "uvx",
      "args": [
        "mcp-ollama"
      ]
    }
  }
}

Development

Install in development mode:

git clone https://github.com/yourusername/mcp-ollama.git
cd mcp-ollama
uv sync

Test with MCP Inspector:

mcp dev src/mcp_ollama/server.py

Related MCP server: Ollama MCP Server

Features

The server provides four main tools:

  • list_models - List all downloaded Ollama models

  • show_model - Get detailed information about a specific model

  • ask_model - Ask a question to a specified model

License

MIT

Available Tools

3 tools
ask_modelA

Ask a question to a specific Ollama model

Args:
    model: Name of the model to use (e.g., 'llama2')
    question: The question to ask the model

Inputs: model (required), question (required).

list_modelsA

List all downloaded Ollama models

Inputs: no named parameters.

show_modelA

Get detailed information about a specific model

Args:
    name: Name of the model to show information about

Inputs: name (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
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    TDQS

    A4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing models, showing model details, and asking a model a question. No overlap or ambiguity between them.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case: list_models, show_model, ask_model. This is predictable and easy to remember.

    Tool Count5/5

    With 3 tools, the server is well-scoped for its purpose of interacting with Ollama models. Each tool earns its place, and the count falls within the typical 3-15 range.

    Completeness4/5

    The tools cover the core workflow of listing, inspecting, and querying models. Missing pull/delete operations are minor gaps since the server focuses on using existing models rather than managing the full model lifecycle.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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