Ollama MCP Server
Related Servers
Alternatives to Ollama MCP Server
No user-submitted related servers found.
Related Servers
- 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.330 npmMIT
- AlicenseAqualityCmaintenanceLets Claude query and manage a local Ollama server — list models, inspect them, run generate/chat completions, pull or delete models.8MIT
- FlicenseNot gradedqualityDmaintenanceProvides direct access to Ollama models for AI inference, including text generation, chat, model management, and embeddings.16 npm3-
- AlicenseAqualityDmaintenanceEnables seamless integration between Ollama's local LLM models and MCP-compatible applications, supporting model management and chat interactions.13758 npm171AGPL 3.0
- 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
- FlicenseBqualityDmaintenanceEnables AI agents to interact with local Ollama models for text generation and tool calling with prompt injection protection.5-
TDQS
Scored across 9 tools
Most tools have distinct purposes, but 'local_llm_chat' and 'select_chat_model' could cause confusion as they both relate to model selection for chatting, with some functional overlap. The other tools are clearly differentiated, such as health checks, model management, and resource monitoring.
The naming is mixed, with some tools using snake_case (e.g., 'list_local_models', 'local_llm_chat') and others using more verbose or inconsistent patterns (e.g., 'ollama_health_check', 'system_resource_check'). While readable, there is no uniform verb_noun convention, and terms like 'check' and 'test' are used interchangeably.
With 9 tools, the count is well-scoped for managing and interacting with Ollama models and servers. It covers installation, selection, testing, health, and resource checks without being overwhelming or too sparse, fitting the server's purpose effectively.
The tool set provides good coverage for model lifecycle (list, remove, test) and server management (health, start), with minor gaps such as updating models or handling advanced configurations. Core workflows like chatting and diagnostics are supported, allowing agents to perform most essential tasks.