API et agents
Connect your app to Grade through the application programming interface (API). To connect an agent, use Model Context Protocol (MCP).
Read what your task needs
- Choose an operation from the agent index or the API catalog.
Read the operation’s reference in llms-full.txt.
For one group of routes, add
?prefix=/api/…to the address.Before a request, check the operation’s authentication, usage limits and price.
Before an external action, get authorization for that action.
Read routes accept
GET,POST,PUTorPATCH.Send the same parameters as JSON or form data.
Responses use JSON. For HTML, set
Accept: text/html.
Use these API references for integration. Do not scrape the main interface or assume permission to access accounts, make payments or send messages.
Read skill.md for agent instructions. Find all API references in api-catalog or at /discovery/resources.
For agents
Connect your app through the application programming interface (API) or Model Context Protocol (MCP). Before a request, check the operation's authentication, limits and price in the catalog.
Quickstart
curl -s https://gradetv.net/api/
claude mcp add --transport http grade https://gradetv.net/mcpMCP in one click
JSON config (Codex, Gemini CLI, ChatGPT)
{
"mcpServers": {
"grade": {
"type": "http",
"url": "https://gradetv.net/mcp"
}
}
}Discovery surfaces
/api/— API index/llms.txt— Guide for agents/llms-full.txt— Full reference/openapi.json— OpenAPI 3/okf/index.md— OKF bundle/mcp— MCP (streamable HTTP)/.well-known/api-catalog— api-catalog (RFC 9727)/skill.md— skill.md — ready-made agent instructions (Agent Skills)
Public data archives
Browse addresses and procurement by location, then open the records you need. Up to 20 items per page, in formats ready for people and agents. Check coverage and the reference date before using a result. Access options are shown by each product.