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Code-verified docs for connectors, agents, and integrations

Build on Attribution.ai

Ship measurement workflows across AI connectors, CLI automation, and direct HTTP integrations with one workspace-scoped MCP tool surface.

Platform Snapshot

Available Tools

16

Tool Categories

6

Access Modes

Connectors + CLI + API

Using attribution.ai MCP · performance

Try the API Playground

Validate requests in sandbox mode with demo data before running live calls.

Quickstart

Connect your first AI client, validate with a test query, and move into production safely.

AI Connectors

Set up ChatGPT, Claude, Gemini, and other MCP-capable clients with OAuth + PKCE.

Authentication

Use OAuth + PKCE for interactive flows, with API/service keys for automation paths.

MCP Protocol

Protocol behavior, supported methods, and transport details for custom client runtimes.

CLI

Run authenticated MCP queries from terminal workflows with stable machine-readable output.

Tool Reference

Complete reference for all 16 MCP tools — auto-generated from source.

REST API

Public MCP JSON-RPC API endpoints, auth patterns, and request/response examples.

Playground

Try tools in sandbox mode with demo responses before sending live authenticated calls.

SDKs & Examples

Runnable examples for CLI, Python, TypeScript, and cURL against `/api/mcp/rpc`.

Error Reference

JSON-RPC and HTTP errors with concrete causes and retry guidance.

Glossary

Attribution and marketing analytics terminology explained.

Changelog

Developer-surface release notes and documentation updates.

Need help?

Check the Help Center or email support@attribution.ai.