Ollama
This MCP server for Ollama, developed as an open-source project, enables Claude Desktop to communicate with Ollama LLM servers. Built with Python and FastAPI, it provides a bridge between the Model Control Protocol and Ollama's API, allowing seamless integration of Ollama's language models into MCP-compatible applications. The implementation focuses on simplicity and ease of deployment, with Docker support for containerization. It's particularly useful for developers and researchers looking to leverage Ollama's local LLM capabilities within the MCP ecosystem, enabling use cases like AI-assisted writing, code generation, and data analysis without relying on cloud-based language models.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/vincentf305/mcp-server-ollama
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
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.