Model Context Protocol server for Adobe Customer Journey Analytics
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"adobe-cja-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# Adobe Customer Journey Analytics MCP Server [](https://pypi.org/project/adobe-cja-mcp/) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) Model Context Protocol (MCP) server for Adobe Customer Journey Analytics (CJA), enabling AI-powered analytics queries through Claude and other MCP clients. ## ⚡ Quick Start (Simplest Setup) **No repository cloning required!** Users can run this MCP server with just 2 steps: ### 1. Install `uv` (Python package manager) ```bash # macOS/Linux brew install uv # Or with curl curl -LsSf https://astral.sh/uv/install.sh | sh # Windows powershell -c "irm https://astral.sh/uv/install.ps1 | iex" ``` ### 2. Configure Claude Desktop Edit `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows): ```json { "mcpServers": { "Adobe CJA": { "command": "uvx", "args": ["adobe-cja-mcp"], "env": { "ADOBE_CLIENT_ID": "your_client_id_here", "ADOBE_CLIENT_SECRET": "your_client_secret_here", "ADOBE_ORG_ID": "your_org_id@AdobeOrg", "ADOBE_DATA_VIEW_ID": "dv_your_dataview_id" } } } } ``` **That's it!** Restart Claude Desktop and `uvx` will automatically download and run the MCP server from PyPI - just like `npx` for Node.js! --- ## Overview This MCP server provides tools for querying Adobe CJA data, including: - Running analytics reports with dimensions and metrics - Multi-dimensional breakdown analysis - Time-series trend analysis at various granularities - Searching and filtering dimension values - Listing available dimensions and metrics - Data view configuration access ## Features **Core Reporting Tools (MVP):** - Run ranked reports with dimensions and metrics - Get top N i…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.