A
licenseA
qualityA
maintenanceEnables observability and governance for local LLMs via Ollama, including auditing model usage, scanning prompts for secrets/PII, and enforcing allow/deny policies.
21
MIT
Ollama MCP Wrapper
Related Servers
Alternatives to Ollama MCP Wrapper
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.435 npmMIT
- FlicenseNot gradedqualityDmaintenanceProvides direct access to Ollama models for AI inference, including text generation, chat, model management, and embeddings.20 npm3-
- 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
- AlicenseAqualityBmaintenanceEnables AI agents to offload mechanical, high-token work to local Ollama models through MCP, with role-based model discovery, batch processing, and file-aware inputs.4MIT
- 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
TDQS
B3.4/5.0
Scored across 5 tools
Disambiguation3/5
The tools are mostly distinct, but list_local_models and list_running_models are similar in purpose (listing models in different states), and run_model_completion and generate_with_tools both handle generation. Descriptions clarify the differences, but the boundaries could be sharper.
Naming Consistency5/5
All tool names follow a consistent verb_noun snake_case pattern (list_*, run_*, generate_*, stop_*), making the naming predictable and easy to navigate.
Tool Count5/5
With only five tools, the set is well-scoped and focused on core local model interaction, avoiding unnecessary bloat while covering the essential immediate operations.
Completeness3/5
The set covers listing, running, and stopping models, but lacks essential model lifecycle management like pulling or deleting models, which are common in Ollama workflows. This leaves notable gaps for a wrapper of this kind.
Maintenance
ActivityInactive
ResponsivenessNo issues