Ollama
This MCP server, developed by tigreen, provides a seamless integration between Ollama's local LLM models and MCP-compatible applications like Claude Desktop. Built with TypeScript and Express, it offers tools for listing, pulling, and interacting with Ollama models through a standardized interface. The implementation focuses on simplifying access to Ollama's capabilities, enabling AI assistants to utilize locally-run language models. By connecting AI models with Ollama's functionalities, this server allows for sophisticated scenarios like on-premise AI processing, custom model deployment, and privacy-focused applications. It's particularly valuable for developers and organizations looking to leverage local LLM capabilities within their AI workflows while maintaining data control and reducing cloud dependencies.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/rawveg/ollama-mcp
- Author type
- human
- Updated
- 2026-04-29
Use via MCP
Resolve Ollama from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.