ollama-MCP-server
by NewAITees
The ollama-MCP-server enables seamless integration between local Ollama LLM instances and MCP-compatible applications. It provides advanced task decomposition, evaluation, and workflow management.
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What is ollama-MCP-server?
The ollama-MCP-server is a Model Context Protocol (MCP) server that communicates with Ollama. It allows MCP-compatible applications to interact with local Ollama LLM instances for advanced task decomposition, evaluation, and workflow management.
How to use ollama-MCP-server?
To use the server, install it via pip (pip install ollama-mcp-server). Configure your Claude Desktop (or other MCP client) with the appropriate settings, specifying the command and arguments to run the server. Use the provided tools (decompose-task, evaluate-result, run-model) via the MCP protocol, sending requests with the required parameters.
Key features of ollama-MCP-server
Task decomposition for complex problems
Result evaluation and validation
Ollama model management and execution
Standardized communication via MCP protocol
Enhanced error handling with detailed messages
Performance optimization (connection pooling, LRU cache)
Use cases of ollama-MCP-server
Breaking down complex tasks into manageable subtasks
Evaluating the results of LLM-generated content against specific criteria
Running Ollama models with specific prompts and parameters
Integrating LLMs into MCP-compatible applications for automated workflows
FAQ from ollama-MCP-server
What is the purpose of the task:// resource?
What is the purpose of the task:// resource?
The task:// resource provides access to individual tasks, allowing you to manage and interact with them.
How does the server handle errors?
How does the server handle errors?
The server provides detailed and structured error messages, including a message, status code, and details about the error.
What are the benefits of connection pooling?
What are the benefits of connection pooling?
Connection pooling improves request performance and reduces resource usage by reusing HTTP connections.
How can I specify which Ollama model to use?
How can I specify which Ollama model to use?
You can specify the model via the tool call parameters, the MCP configuration file, an environment variable (OLLAMA_DEFAULT_MODEL), or it will default to llama3.
How do I run the tests?
How do I run the tests?
Use the ./run_tests.sh script with options like --unit, --integration, or --all to run different test suites.