com.gammainfra/mcp-server

@gammainfra/mcp-server

Model Context Protocol (MCP) server for GammaInfra — intelligent LLM routing across every major provider via one OpenAI-shape API.

Drop this server into Claude Code, Claude Desktop, Cursor, Cline, Continue, or any MCP-compatible host, and your agent gets direct tool access to:

• chat_completions — call any supported model (or gammainfra/auto for smart routing) with cost, latency, and quality controls. Routing metadata (which provider served, exact cost in USD, fallback chain) is returned as a structured routing_meta field.
• list_models — full model catalog with pricing and capability flags.
• get_balance — managed + BYOK balances.
• get_status — overall + per-provider health, 24h request count.

Quickstart

1. Get a GammaInfra API key — sign up free at https://gammainfra.com/signup ($3 trial credit, no credit card).
2. Add the server to your MCP client config (instructions per client below).
3. Restart the client. The four tools become available to your agent immediately.

Installation

The server runs via npx — no manual install needed. The first invocation downloads and caches the package.

Claude Code

claude mcp add gammainfra \
  --env GAMMAINFRA_API_KEY=sk-gammainfra-... \
  -- npx -y @gammainfra/mcp-server

Or edit ~/.claude.json and add to the mcpServers block:

{
  "mcpServers": {
    "gammainfra": {
      "command": "npx",
      "args": ["-y", "@gammainfra/mcp-server"],
      "env": { "GAMMAINFRA_API_KEY": "sk-gammainfra-..." }
    }
  }
}

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "gammainfra": {
      "command": "npx",
      "args": ["-y", "@gammainfra/mcp-server"],
      "env": { "GAMMAINFRA_API_KEY": "sk-gammainfra-..." }
    }
  }
}

Restart Claude Desktop. The "GammaInfra" server should appear in the tools menu.

Cursor

Edit ~/.cursor/mcp.json:

{
  "mcpServers": {
    "gammainfra": {
      "command": "npx",
      "args": ["-y", "@gammainfra/mcp-server"],
      "env": { "GAMMAINFRA_API_KEY": "sk-gammainfra-..." }
    }
  }
}

Cline (VS Code)

Open Cline's settings (gear icon → MCP Servers tab) and add:

{
  "gammainfra": {
    "command": "npx",
    "args": ["-y", "@gammainfra/mcp-server"],
    "env": { "GAMMAINFRA_API_KEY": "sk-gammainfra-..." },
    "disabled": false
  }
}

Environment variables

Tool reference

chat_completions

Send a chat completion request and receive the model response plus routing metadata.

Parameters:

Returns: { response: <OpenAI response>, routing_meta: { provider, endpoint, cost_usd, input_cost_usd, output_cost_usd, router_version, logical_model, fallback_chain, attempted_count, request_id, ... } }

Timeout note: Every request has a 10-minute client-side hard timeout (via AbortController) so a hung upstream can't wedge the MCP process. For chat_completions, a supplied max_latency_ms replaces that default as the hard abort bound.

Streaming note: MCP tool responses are non-streaming. The server always sends stream: false to the upstream and does not accept a stream parameter on the tool input (it's rejected by schema validation). For streaming, use the GammaInfra HTTP API directly.

list_models

No parameters. Returns the full model catalog including direct-pin slugs, per-token pricing, and capability flags (supports_tools, supports_vision).

get_balance

Returns { managed_balance_usd, byok_balance_usd, currency }. With include_byok omitted/false, byok_balance_usd is null and no BYOK request is made (no byok_error). With include_byok: true, if BYOK isn't enrolled, byok_balance_usd is null and a byok_error field describes the cause.

get_status

No parameters. Returns GammaInfra's current overall health, per-provider state and live p50 latency, and 24h request count.

Development

git clone https://github.com/yuz0101/gammainfra-mcp-server.git
cd gammainfra-mcp-server
npm install
npm run test          # 30 tests, ~1s
npm run build         # tsc → dist/
npm run typecheck

License

MIT — see LICENSE.