ollama-MCP-server
4
The Ollama MCP Server enables smooth integration with Ollama LLM, offering features like task decomposition, result evaluation, and model management. It supports MCP communication and provides enhanced error handling and performance optimizations.
Overview
The Ollama MCP Server facilitates seamless integration between a local Ollama LLM instance and MCP-compatible applications, offering advanced task decomposition, evaluation, and workflow management. Key features include:
- Task decomposition for complex problems
- Result evaluation and verification
- Management and execution of Ollama models
- Standardized communication via MCP protocol
- Advanced error handling with detailed error messages
- Performance optimizations through connection pooling and LRU caching
Components
Resources
Implemented resources:
- task:// for accessing individual tasks
- result:// for accessing evaluation results
- model:// for accessing available Ollama models
Prompts and Tools
- Prompts provide LLMs specific thinking methodologies
- Tools perform actions, requiring corresponding prompts
Tools
- add-task for creating and identifying new tasks
- decompose-task for breaking tasks into manageable subtasks
- evaluate-result for assessing results against specified criteria
- run-model for executing Ollama models with given parameters
New Features and Improvements
- Enhanced error handling for structured messages
- Performance optimizations through connection pooling and LRU caching