ollama-MCP-server
Ollama MCP server for local LLM integration. ollama-MCP-server is a Model Context Protocol (MCP) server maintained by NewAITees. It connects to MCP-compatible clients such as Claude Desktop, Cursor, Cline, and other agents that speak the protocol. It exposes 4 tools, including add-task, decompose-task, evaluate-result and run-model, that an agent can call directly. It is categorized under AI/LLM and Tool/Server.
What is this MCP
This MCP server enables seamless integration between local Ollama LLM instances and MCP-compatible applications, providing advanced task decomposition, evaluation, and workflow management capabilities.
How to use this MCP
Install via pip (pip install ollama-mcp-server), configure with environment variables, and interact using MCP tools like decompose-task, evaluate-result, and run-model through standardized MCP protocol calls.
What this MCP can be used for
The server facilitates complex task breakdown, result evaluation, and direct LLM interaction with local Ollama models, ideal for AI-assisted workflows, automated task management, and local AI development projects.
AIMCP authority
DR and traffic signal for the AIMCP public domain.
Frequently asked questions
What is the ollama-MCP-server MCP server?
ollama-MCP-server is a Model Context Protocol server from NewAITees. It lets MCP-compatible AI clients call its tools over a standard interface, so agents like Claude, Cursor, and Cline can use it without custom integration.
How do I connect ollama-MCP-server to my AI client?
Add ollama-MCP-server to your client's MCP configuration using the stdio or SSE connection shown in the usage examples on this page, then restart the client to load the server.
What tools does ollama-MCP-server provide?
ollama-MCP-server provides 4 tools: add-task, decompose-task, evaluate-result and run-model.
Is ollama-MCP-server free to use?
ollama-MCP-server is listed on AIMCP for free. Any API keys or accounts required by the underlying service are set by its provider.
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