OpenRouter
This MCP server provides AI assistants with access to OpenRouter's unified API for multiple AI models including Claude, Gemini, and Kimi, built by slyfox1186 using Python with intelligent model aliasing and conversation persistence. The implementation features Docker-based deployment with conversation history management through UUID-based continuation, smart model selection that maps natural language requests to specific model endpoints, and comprehensive tooling including conversation management, Docker container orchestration, and troubleshooting scripts. Built with both direct API integration and MCP SDK support, persistent conversation storage, and rate limiting capabilities, it serves developers needing multi-model AI access through a single interface, teams requiring conversation continuity across sessions, and organizations wanting to leverage OpenRouter's model diversity with simplified deployment and management through containerized infrastructure.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · 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/slyfox1186/claude-code-openrouter
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve OpenRouter 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.