Ollama-MCP-server provides a bridge between AI assistants and Ollama, enabling interaction with locally-hosted language models. The server exposes tools for task decomposition and result evaluation through a standardized interface, with configurable model selection (defaulting to deepseek-r1:14b). Built with Python 3.13 and the MCP protocol, it handles requests asynchronously and supports structured prompting templates. This implementation is particularly valuable for users who want to leverage local LLMs for complex reasoning tasks without relying on cloud-based AI services.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.