Context7 and AI Docs Access
Access Revenium documentation from AI coding assistants via Context7 or llms.txt.
Use this page when you want an AI assistant or coding agent to retrieve Revenium documentation, schemas, and API guidance while it works. If you want an agent to query or operate Revenium itself, use MCP Server.
Context7 (Recommended)
Context7 provides automatic documentation retrieval via MCP. Your AI agent pulls relevant Revenium docs on demand — 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:
API Reference
Complete REST API reference with request/response schemas
Knowledge Base
Guides, quickstarts, and platform concepts
SDKs and Tools:
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.
llms.txt
For browser-based AI tools (ChatGPT, Claude.ai, Gemini) or when MCP is unavailable, paste this URL into your conversation:
OpenAPI Specs
Full OpenAPI (OAS) documents are available for download at:
These are large files intended for code generation tools and schema validation, not for pasting into AI chat. For AI agent access to Revenium APIs, use Context7 or llms.txt instead.
Related
Integration Options — choose the right setup path
MCP Server — connect MCP-compatible agents to Revenium
OTLP Integration — OTLP endpoints and GenAI attribute mapping
Metering API Reference
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