Ollama
About
Integrates with Ollama for local large language model inference, enabling text generation and model management without relying on cloud APIs.
Details
- Author
- emgeee
- Repository
- emgeee/mcp-ollama
- GitHub stars
- 26
- Downloads
- 17,613
- License
- MIT License
- Categories
- Developer Tools, Productivity, Design, AI, Search, Cloud Service, API, Infrastructure
- Tags
- #integration
Jump to
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
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
OllamaCommand (node, npx, python, etc.)uvxArguments-
Argument 1
mcp-ollama
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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"
]
}
}
}
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"ollama": {
"cwd": null,
"env": {},
"args": [
"mcp-ollama"
],
"shell": false,
"command": "uvx"
}
}
}Linux
{
"cwd": null,
"env": [],
"args": [
"mcp-ollama"
],
"shell": false,
"command": "uvx"
}Macos
{
"cwd": null,
"env": [],
"args": [
"mcp-ollama"
],
"shell": false,
"command": "uvx"
}Windows
{
"cwd": null,
"env": [],
"args": [
"mcp-ollama"
],
"shell": false,
"command": "uvx"
}A Model Context Protocol (MCP) server for integrating Ollama with Claude Desktop or other MCP clients.
- 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)
Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.jsonon macOS,%APPDATA%\Claude\claude_desktop_config.jsonon Windows):
{ "mcpServers": { "ollama": { "command": "uvx", "args": [ "mcp-ollama" ] } } }
git clone https://github.com/yourusername/mcp-ollama.git cd mcp-ollama uv sync
- 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
This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.
Create crafted UI components inspired by the best 21st.dev design engineers.
Bring agent evaluations, observability, and synthetic test set generation directly into your IDE for free with Galileo's new MCP server
An MCP server to help AI assistants to answer questions and generate AccelByte Extend SDK code more effectively .
MCP server for AI Diagram Maker — generate beautiful software engineering diagrams directly inside Cursor, Claude Desktop, Claude Code, or any MCP-compatible AI agent
ALAPI MCP Tools,Call hundreds of API interfaces via MCP
AI-powered SVG animation generator that transforms static files into animated SVG components using the Allyson platform
MCP server that gives AI assistants on-demand access to 1,500+ amCharts docs, ~300 code examples, and 1000+ class API references.
APIMatic MCP Server is used to validate OpenAPI specifications using APIMatic. The server processes OpenAPI files and returns validation summaries by leveraging APIMatic’s API.
One shared context layer for AI agents and humans — live API specs, DB schemas, and versioned contracts across repos so every agent and teammate works from the same source of truth.
Build and deploy full-stack Next.js apps with 98 tools for React, AWS, and MongoDB
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
