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Continuum-AI-Corp/orcarouter-mcp-server

by Various

Official MCP server for OrcaRouter — the LLM gateway with auto-routing and fallback chains. Browse models and chat from Claude Desktop, Cursor, Windsurf, or any MCP client.

MCP

Continuum-AI-Corp/orcarouter-mcp-server

Added 7 June 2026

#ai-gateway #anthropic #claude-code #claude-desktop #cursor #deepseek #gemini #grok

Overview

This is the official MCP server for OrcaRouter, an LLM gateway that provides auto-routing and fallback chains. It allows users to browse models and chat from MCP-compatible clients like Claude Desktop, Cursor, and Windsurf. The server is written in TypeScript.

Best for

Best for
Developers who want to add model routing and fallback logic to their MCP-based tools

Use cases

  • Route LLM requests through fallback chains for reliability
  • Browse available models from an MCP client
  • Chat with models directly from Claude Desktop or Cursor

How to use

Install

bun install

Tools exposed

  • orcarouter_chat
  • orcarouter_models_list
  • orcarouter_model_card
  • orcarouter_providers_list
  • ORCAROUTER_API_KEY
  • ORCAROUTER_BASE_URL
  • ORCAROUTER_REQUEST_TIMEOUT

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf

Notes

This is the official MCP server for OrcaRouter, an LLM gateway that provides auto-routing and fallback chains. It allows users to browse models and chat from MCP-compatible clients like Claude Desktop, Cursor, and Windsurf. The server is written in TypeScript.

5 stars on GitHub. Last updated 2026-05-26. Licensed MIT.

Use cases

  • Route LLM requests through fallback chains for reliability
  • Browse available models from an MCP client
  • Chat with models directly from Claude Desktop or Cursor

Pros

  • Enables automatic fallback between models for resilience
  • Works with multiple popular MCP clients out of the box
  • Lightweight TypeScript implementation

Cons

  • Requires an OrcaRouter gateway to be running separately
  • Limited to MCP-compatible clients only
  • Small community with only 5 stars on GitHub

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Enables automatic fallback between models for resilience
  • Works with multiple popular MCP clients out of the box
  • Lightweight TypeScript implementation

Cons

  • Requires an OrcaRouter gateway to be running separately
  • Limited to MCP-compatible clients only
  • Small community with only 5 stars on GitHub
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