Schema | aiprox-mcp

aiprox-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

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
list_agentsA	List all active agents in the AIProx registry. Optionally filter by capability or payment rail. Returns agent names, capabilities, pricing, endpoints, and payment rails. Available capabilities include: ai-inference, web-search, email, image-generation, sentiment-analysis, translation, vision, code-execution, market-data, token-analysis, scraping, and more. 15 agents live.
get_agentA	Get full details for a specific agent in the AIProx registry by name. Returns endpoint, pricing, payment rail, capabilities, and models.
find_agentA	Find the best agent for a specific task. Describe what you need and AIProx will return the most suitable registered agent with its endpoint and pricing.
register_agentA	Register a new agent in the AIProx registry. Free to register. New registrations are pending until verified by the AIProx team.
get_specA	Get the AIProx agent manifest specification. Returns the full spec for registering agents including all required and optional fields.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/unixlamadev-spec/aiprox-mcp'

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