claude-ollama-mcp
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- AlicenseNot gradedqualityDmaintenanceEnables interaction with locally running Ollama models through chat, generation, and model management operations. Supports listing, downloading, and deleting models while maintaining conversation history for interactive sessions.464 npmMIT
- AlicenseBqualityDmaintenanceEnables complete local Ollama management including listing models, chatting with local LLMs, starting/stopping the server, and getting intelligent model recommendations for specific tasks through natural language commands.94MIT
- AlicenseNot gradedqualityDmaintenanceA bridge that enables Claude Code to interact with local Ollama instances for text generation, multi-turn chat, and vision-based analysis. It supports model management tasks such as listing, pulling, and showing details, alongside generating text embeddings.464 npm1MIT
- AlicenseNot gradedqualityDmaintenanceExposes local Ollama instances as tools for Claude Code, allowing users to offload code generation, text drafting, and embedding tasks to local GPUs. It supports multi-turn conversations and model management through the Model Context Protocol.MIT
- AlicenseNot gradedqualityAmaintenanceExposes the complete Ollama SDK as MCP tools so MCP clients like Claude Desktop and Cline can manage models, run chat and text generation, create embeddings, and access cloud-based web search and fetch. Supports local, cloud, and hybrid deployments through host and API key configuration.897 npmAGPL 3.0
- AlicenseNot gradedqualityAmaintenanceExposes the complete Ollama SDK as MCP tools so compatible AI assistants can manage models, generate text, chat, create embeddings, and use cloud web search/fetch. Supports local, cloud, and hybrid deployments for integrating local LLMs with applications like Claude Desktop and Cline.897 npmAGPL 3.0
TDQS
Scored across 8 tools
Each tool has a clearly distinct purpose: chat vs generate differentiate by context (with/without history); model management tools (list, pull, delete, show, list_running) are non-overlapping; ollama_status is a standalone health check. No ambiguity in roles.
Most names follow a verb_noun pattern (e.g., delete_model, list_models, pull_model). 'chat' and 'generate' are single verbs but still actions. 'ollama_status' deviates slightly (noun_noun) but is readable. Overall consistent with minor exceptions.
8 tools cover the essential operations for a local Ollama server: model management (list, pull, delete, show, list_running), two inference modes (chat, generate), and a health check. Well-scoped without bloat or deficiency.
Core CRUD and inference are covered, but streaming support is absent (only non-streaming provided). No tool to adjust model parameters or embeddings. Minor gaps for advanced use, but sufficient for standard workflows.