Ollama
The Ollama MCP Agent serves as a bridge between AI assistants and Ollama models, enabling direct interaction with locally-hosted LLMs through the Model Context Protocol. This TypeScript implementation provides specialized servers for retrieving current time and weather information, demonstrating how to structure MCP tools for practical use cases. Built with a direct transport mechanism for handling requests and responses, the agent showcases a lightweight approach to extending AI capabilities with external data sources while maintaining a simple, modular architecture that developers can easily extend with additional functionality.
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/softjapan/ollama-mcp-agent
- 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.