
Mcp Server
Wire Claude Code or Cursor to many LLM providers through one OpenAI-compatible GammaInfra endpoint with smart routing.
Overview
GammaInfra MCP Server is a MCP server for the Build phase that routes agent LLM requests across major providers through one OpenAI-compatible GammaInfra API.
What is this MCP server?
- OpenAI-shaped chat/completions API across multiple major LLM providers
- stdio MCP transport via @gammainfra/mcp-server npm package v0.1.1
- Required GAMMAINFRA_API_KEY with optional GAMMAINFRA_BASE_URL override
- Default API host https://api.gammainfra.com/v1
- Free API key signup at gammainfra.com/signup
- Package version 0.1.1 on npm as @gammainfra/mcp-server
- Default base URL https://api.gammainfra.com/v1
- 2 documented environment variables (1 required secret API key)
What problem does it solve?
Solo builders waste time juggling separate API keys, SDKs, and request shapes every time they swap or combine LLM providers in an agent workflow.
Who is it for?
Indie developers standardizing multi-provider LLM access inside Claude Code or Cursor during agent and API development.
Skip if: Teams that need only a single fixed model with a native SDK and no routing gateway, or offline/local-only inference.
What do I get? / Deliverables
After install, your MCP host can call GammaInfra with one key and OpenAI-style payloads while routing logic stays on the GammaInfra side.
- Registered stdio MCP server entry in your agent config
- Agent-callable GammaInfra v1 API access with optional base URL override
- Unified OpenAI-shape LLM calls without per-provider client refactors
Recommended MCP Servers
Journey fit
Canonical shelf is Build because the server exists to connect your coding agent to external model APIs during product development. Integrations is the right subphase: it is an npm stdio MCP bridge, not a standalone app feature.
How it compares
MCP LLM routing integration, not a prompt skill or local model runner.
Common Questions / FAQ
Who is GammaInfra MCP Server for?
Solo builders and small teams who use MCP-enabled coding agents and want one OpenAI-shaped API to reach multiple LLM providers.
When should I use GammaInfra MCP Server?
Use it during Build when you are wiring agents, backends, or automation to external models and prefer centralized routing over per-vendor SDKs.
How do I add GammaInfra MCP Server to my agent?
Add the @gammainfra/mcp-server npm MCP entry with stdio transport, set GAMMAINFRA_API_KEY from gammainfra.com/signup, and restart your MCP host.