πŸ€–For AI Agents

Access Revenium documentation from AI coding assistants via Context7 or llms.txt.

Docs Site llms.txt

This entire site is available here: https://docs.revenium.io/llms.txtarrow-up-right. Point your agents here for an easy to read version of this entire docs site.

Context7

Context7arrow-up-right provides automatic documentation retrieval via MCP. Your AI agent pulls relevant Revenium docs on demand β€” works with any MCP-compatible tool (Claude Code, Cursor, Windsurf, Continue, Cline, GitHub Copilot).

Add the Context7 MCP server to your agent's configuration:

{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp@latest"]
    }
  }
}

Refer to your tool's MCP documentation for the configuration file location.

Revenium Libraries on Context7

Documentation:

Library
Content

API Reference

Complete REST API reference with request/response schemas

Knowledge Base

Guides, quickstarts, and platform concepts

SDKs and Tools:

Library
Content

Python SDK

Unified Python middleware for OpenAI, Anthropic, Google, LiteLLM

Node Middleware

Unified TypeScript middleware for all supported providers

MCP Server

Zero-code AI metering via Model Context Protocol

Claude Code SDK

Claude Code telemetry export and usage tracking

CLI

Command-line interface for the Revenium platform

When querying Context7, use revenium as the search term to find these libraries.


API Docs as llms.txt

For browser-based AI tools (ChatGPT, Claude.ai, Gemini), paste this URL into your conversation:

https://revenium.readme.io/llms.txtarrow-up-right


OpenAPI Specs

Full OpenAPI (OAS) documents are available for download at:

Revenium OpenAPI Spec Downloadsarrow-up-right

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Metering API Reference

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