ollama-mcp
Enables Claude to interact directly with local Ollama instances, allowing teams to run private LLM inference workflows without external API dependencies or v…
MCP server for Ollama - exposes all Ollama SDK functionality through MCP tools
- Run local language models directly within your development environment without cloud dependencies
- Generate code completions and suggestions using self-hosted models for sensitive projects
- Automate bulk text analysis tasks by integrating Ollama models into your engineering workflow
Enables Claude to interact directly with local Ollama instances, allowing teams to run private LLM inference workflows without external API dependencies or vendor lock-in.
Development teams integrating Ollama with Claude-based automation for on-premise or air-gapped LLM workloads.
https://www.npmjs.com/package/ollama-mcp
By rawveg
How to Get It
npx -y ollama-mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Help me run local language models directly within my development environment without cloud dependencies
Trust Signals Auto-scanned
Data & Access
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 168 GitHub stars; 3 contributors; last commit 257d ago; license AGPL-3.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
- License (AGPL-3.0) may restrict commercial use. Check with your legal team.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 168 GitHub stars; 3 contributors; last commit 257d ago; license AGPL-3.0.