Schema | agent-validator-mcp-server

agent-validator-mcp-server

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`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
validate_api_endpointA	Test a single API endpoint for agent accessibility. Checks response format, status codes, documentation quality, and gives a score from 0-100. Args: url: The API endpoint URL to test method: HTTP method (GET, POST, etc.) expected_format: Expected response format (json, xml, text)
validate_openapi_specA	Validate an OpenAPI spec for agent-friendliness. Checks if the API documentation is good enough for AI agents to use the API effectively. Args: spec_url: URL to OpenAPI/Swagger spec
check_agent_interface_urlA	Check if a domain hosts an Agent Interface spec. Looks for the spec at the well-known URL: https://domain/.well-known/agent-interface.json Args: domain: Domain to check (e.g. "example.com")

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/AiAgentKarl/agent-validator-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server