Schema | LLM Router MCP

LLM Router MCP

Describes the environment variables required to run the server.

Name	Required	Description
`GOOGLE_API_KEY`	No	API key for Google Gemini
`OPENAI_API_KEY`	No	API key for OpenAI GPT-4o
`ANTHROPIC_API_KEY`	No	API key for Anthropic Claude

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
route_promptA	Routes a coding prompt to the best LLM (Claude, Gemini, GPT-4o) based on task type. Automatically classifies the task and selects the cheapest/most capable model.
plan_workflowC	Always uses Gemini to plan a high-level workflow or architecture for a feature.
generate_codeB	Always uses Claude for complex code generation, logic-heavy tasks, or refactoring.
implement_featureC	Always uses GPT-4o for feature implementation, test generation, or repetitive coding tasks.
clear_contextB	Clears the context cache for a session, starting fresh.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Devatva24/LLM-Router-MCP'

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