Ollama
This MCP server, developed by Matt Green, provides integration with Ollama for local large language model inference. Built using Python and leveraging the MCP CLI, it enables AI assistants to interact with Ollama's API for listing available models, retrieving model details, and generating text completions. The implementation focuses on providing a standardized interface to Ollama's capabilities, making it easier to incorporate local LLM inference into AI workflows. It's particularly useful for developers and researchers who want to leverage locally-run open-source language models, enabling use cases such as private AI assistants, custom model fine-tuning, and AI-augmented development without relying on cloud APIs.
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
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/emgeee/mcp-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.