Ollama

Ollama

rawveg

Connects to your local Ollama installation to run AI models privately without cloud APIs. Lets you query models, list available models, and get model details.

Integrates Ollama's local LLM models with MCP-compatible applications, enabling on-premise AI processing and custom model deployment while maintaining data control.

1432,160 views24Local (stdio)

What it does

  • Query local Ollama AI models
  • List all downloaded models
  • Get detailed model information
  • Generate text responses locally

Best for

Developers wanting private AI inferenceUsers with local Ollama setupsPrivacy-conscious AI applications
No cloud APIs requiredWorks with existing Ollama installationComplete privacy

About Ollama

Ollama is a community-built MCP server published by rawveg that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Ollama's local LLM models for secure, on-premise AI and data control with MCP-compatible apps. Deploy custom m It is categorized under ai ml, developer tools.

How to install

You can install Ollama 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.

License

Ollama is released under the AGPL-3.0 license.

๐Ÿฆ™ Ollama MCP Server

Supercharge your AI assistant with local LLM access

License: AGPL-3.0 TypeScript MCP Coverage

An MCP (Model Context Protocol) server that exposes the complete Ollama SDK as MCP tools, enabling seamless integration between your local LLM models and MCP-compatible applications like Claude Desktop and Cline.

Features โ€ข Installation โ€ข Available Tools โ€ข Configuration โ€ข Retry Behavior โ€ข Development


โœจ Features

  • โ˜๏ธ Ollama Cloud Support - Full integration with Ollama's cloud platform
  • ๐Ÿ”ง 14 Comprehensive Tools - Full access to Ollama's SDK functionality
  • ๐Ÿ”„ Hot-Swap Architecture - Automatic tool discovery with zero-config
  • ๐ŸŽฏ Type-Safe - Built with TypeScript and Zod validation
  • ๐Ÿ“Š High Test Coverage - 96%+ coverage with comprehensive test suite
  • ๐Ÿš€ Zero Dependencies - Minimal footprint, maximum performance
  • ๐Ÿ”Œ Drop-in Integration - Works with Claude Desktop, Cline, and other MCP clients
  • ๐ŸŒ Web Search & Fetch - Real-time web search and content extraction via Ollama Cloud
  • ๐Ÿ”€ Hybrid Mode - Use local and cloud models seamlessly in one server

๐Ÿ’ก Level Up Your Ollama Experience with Claude Code and Desktop

The Complete Package: Tools + Knowledge

This MCP server gives Claude the tools to interact with Ollama - but you'll get even more value by also installing the Ollama Skill from the Skillsforge Marketplace:

  • ๐Ÿš— This MCP = The Car - All the tools and capabilities
  • ๐ŸŽ“ Ollama Skill = Driving Lessons - Expert knowledge on how to use them effectively

The Ollama Skill teaches Claude:

  • Best practices for model selection and configuration
  • Optimal prompting strategies for different Ollama models
  • When to use chat vs generate, embeddings, and other tools
  • Performance optimization and troubleshooting
  • Advanced features like tool calling and function support

Install both for the complete experience:

  1. โœ… This MCP server (tools)
  2. โœ… Ollama Skill (expertise)

Result: Claude doesn't just have the car - it knows how to drive! ๐ŸŽ๏ธ

๐Ÿ“ฆ Installation

Quick Start with Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

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

Global Installation

npm install -g ollama-mcp

For Cline (VS Code)

Add to your Cline MCP settings (cline_mcp_settings.json):

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

๐Ÿ› ๏ธ Available Tools

Model Management

ToolDescription
ollama_listList all available local models
ollama_showGet detailed information about a specific model
ollama_pullDownload models from Ollama library
ollama_pushPush models to Ollama library
ollama_copyCreate a copy of an existing model
ollama_deleteRemove models from local storage
ollama_createCreate custom models from Modelfile

Model Operations

ToolDescription
ollama_psList currently running models
ollama_generateGenerate text completions
ollama_chatInteractive chat with models (supports tools/functions)
ollama_embedGenerate embeddings for text

Web Tools (Ollama Cloud)

ToolDescription
ollama_web_searchSearch the web with customizable result limits (requires OLLAMA_API_KEY)
ollama_web_fetchFetch and parse web page content (requires OLLAMA_API_KEY)

Note: Web tools require an Ollama Cloud API key. They connect to https://ollama.com/api for web search and fetch operations.

โš™๏ธ Configuration

Environment Variables

VariableDefaultDescription
OLLAMA_HOSThttp://127.0.0.1:11434Ollama server endpoint (use https://ollama.com for cloud)
OLLAMA_API_KEY-API key for Ollama Cloud (required for web tools and cloud models)

Custom Ollama Host

{
  "mcpServers": {
    "ollama": {
      "command": "npx",
      "args": ["-y", "ollama-mcp"],
      "env": {
        "OLLAMA_HOST": "http://localhost:11434"
      }
    }
  }
}

Ollama Cloud Configuration

To use Ollama's cloud platform with web search and fetch capabilities:

{
  "mcpServers": {
    "ollama": {
      "command": "npx",
      "args": ["-y", "ollama-mcp"],
      "env": {
        "OLLAMA_HOST": "https://ollama.com",
        "OLLAMA_API_KEY": "your-ollama-cloud-api-key"
      }
    }
  }
}

Cloud Features:

  • โ˜๏ธ Access cloud-hosted models
  • ๐Ÿ” Web search with ollama_web_search (requires API key)
  • ๐Ÿ“„ Web fetch with ollama_web_fetch (requires API key)
  • ๐Ÿš€ Faster inference on cloud infrastructure

Get your API key: Visit ollama.com to sign up and obtain your API key.

Hybrid Mode (Local + Cloud)

You can use both local and cloud models by pointing to your local Ollama instance while providing an API key:

{
  "mcpServers": {
    "ollama": {
      "command": "npx",
      "args": ["-y", "ollama-mcp"],
      "env": {
        "OLLAMA_HOST": "http://127.0.0.1:11434",
        "OLLAMA_API_KEY": "your-ollama-cloud-api-key"
      }
    }
  }
}

This configuration:

  • โœ… Runs local models from your Ollama instance
  • โœ… Enables cloud-only web search and fetch tools
  • โœ… Best of both worlds: privacy + web connectivity

๐Ÿ”„ Retry Behavior

The MCP server includes intelligent retry logic for handling transient failures when communicating with Ollama APIs:

Automatic Retry Strategy

Web Tools (ollama_web_search and ollama_web_fetch):

  • Automatically retry on rate limit errors (HTTP 429)
  • Maximum of 3 retry attempts (4 total requests including initial)
  • Request timeout: 30 seconds per request (prevents hung connections)
  • Respects the Retry-After header when provided by the API
  • Falls back to exponential backoff with jitter when Retry-After is not present

Retry-After Header Support

The server intelligently handles the standard HTTP Retry-After header in two formats:

1. Delay-Seconds Format:

Retry-After: 60

Waits exactly 60 seconds before retrying.

2. HTTP-Date Format:

Retry-After: Wed, 21 Oct 2025 07:28:00 GMT

Calculates delay until the specified timestamp.

Exponential Backoff

When Retry-After is not provided or invalid:

  • Initial delay: 1 second (default)
  • Maximum delay: 10 seconds (default, configurable)
  • Strategy: Exponential backoff with full jitter
  • Formula: random(0, min(initialDelay ร— 2^attempt, maxDelay))

Example retry delays:

  • 1st retry: 0-1 seconds
  • 2nd retry: 0-2 seconds
  • 3rd retry: 0-4 seconds (capped at 0-10s max)

Error Handling

Retried Errors (transient failures):

  • HTTP 429 (Too Many Requests) - rate limiting
  • HTTP 500 (Internal Server Error) - transient server issues
  • HTTP 502 (Bad Gateway) - gateway/proxy received invalid response
  • HTTP 503 (Service Unavailable) - server temporarily unable to handle request
  • HTTP 504 (Gateway Timeout) - gateway/proxy did not receive timely response

Non-Retried Errors (permanent failures):

  • Request timeouts (30 second limit exceeded)
  • Network timeouts (no status code)
  • Abort/cancel errors
  • HTTP 4xx errors (except 429) - client errors requiring changes
  • Other HTTP 5xx errors (501, 505, 506, 508, etc.) - configuration/implementation issues

The retry mechanism ensures robust handling of temporary API issues while respecting server-provided retry guidance and preventing excessive request rates. Transient 5xx errors (500, 502, 503, 504) are safe to retry for the idempotent POST operations used by ollama_web_search and ollama_web_fetch. Individual requests timeout after 30 seconds to prevent indefinitely hung connections.

๐ŸŽฏ Usage Examples

Chat with a Model

// MCP clients can invoke:
{
  "tool": "ollama_chat",
  "arguments": {
    "model": "llama3.2:latest",
    "messages": [
      { "role": "user", "content": "Explain quantum computing" }
    ]
  }
}

Generate Embeddings

{
  "tool": "ollama_embed",
  "arguments": {
    "model": "nomic-embed-text",
    "input": ["Hello world", "Embeddings are great"]
  }
}

Web Search

{
  "tool": "ollama_web_search",
  "arguments": {
    "query": "latest AI developments",
    "max_results": 5
  }
}

๐Ÿ—๏ธ Architecture

This server uses a hot-swap autoloader pattern:

src/
โ”œโ”€โ”€ index.ts          # Entry point (27 lines)
โ”œโ”€โ”€ server.ts         # MCP server creation
โ”œโ”€โ”€ autoloader.ts     # Dynamic tool discovery
โ””โ”€โ”€ tools/            # Tool implementations
    โ”œโ”€โ”€ chat.ts       # Each exports toolDefinition
    โ”œโ”€โ”€ generate.ts
    โ””โ”€โ”€ ...

Key Benefits:

  • Add new tools by dropping files in src/tools/
  • Zero server code changes required
  • Each tool is independently testable
  • 100% function coverage on all tools

๐Ÿงช Development

Prerequisites

  • Node.js v16+
  • npm or pnpm
  • Ollama running locally

Setup

# Clone repository
git clone https://github.com/rawveg/ollama-mcp.git
cd ollama-mcp

# Install dependencies
npm install

# Build project
np

---

*README truncated. [View full README on GitHub](https://github.com/rawveg/ollama-mcp).*

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