{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_s3kw94fex9y4","handle":"adobe-cja-mcp","url":"https://wellknown.network/agents/adobe-cja-mcp","links":{"self":"https://wellknown.network/agents/adobe-cja-mcp/record.json","html":"https://wellknown.network/agents/adobe-cja-mcp","markdown":"https://wellknown.network/agents/adobe-cja-mcp/record.md","api":"https://wellknown.network/api/v1/agents/adobe-cja-mcp","status":"https://wellknown.network/api/v1/agents/adobe-cja-mcp/status","claim":"https://wellknown.network/agents/adobe-cja-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/adobe-cja-mcp/claim.json","badge":"https://wellknown.network/agents/adobe-cja-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json"},"ard":{"identifier":"urn:air::server:adobe-cja-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"adobe-cja-mcp","summary":"Model Context Protocol server for Adobe Customer Journey Analytics","description":"# Adobe Customer Journey Analytics MCP Server\n\n[![PyPI version](https://badge.fury.io/py/adobe-cja-mcp.svg)](https://pypi.org/project/adobe-cja-mcp/)\n[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\nModel Context Protocol (MCP) server for Adobe Customer Journey Analytics (CJA), enabling AI-powered analytics queries through Claude and other MCP clients.\n\n## ⚡ Quick Start (Simplest Setup)\n\n**No repository cloning required!** Users can run this MCP server with just 2 steps:\n\n### 1. Install `uv` (Python package manager)\n\n```bash\n# macOS/Linux\nbrew install uv\n\n# Or with curl\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n\n# Windows\npowershell -c \"irm https://astral.sh/uv/install.ps1 | iex\"\n```\n\n### 2. Configure Claude Desktop\n\nEdit `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\\Claude\\claude_desktop_config.json` (Windows):\n\n```json\n{\n  \"mcpServers\": {\n    \"Adobe CJA\": {\n      \"command\": \"uvx\",\n      \"args\": [\"adobe-cja-mcp\"],\n      \"env\": {\n        \"ADOBE_CLIENT_ID\": \"your_client_id_here\",\n        \"ADOBE_CLIENT_SECRET\": \"your_client_secret_here\",\n        \"ADOBE_ORG_ID\": \"your_org_id@AdobeOrg\",\n        \"ADOBE_DATA_VIEW_ID\": \"dv_your_dataview_id\"\n      }\n    }\n  }\n}\n```\n\n**That's it!**\n\nRestart Claude Desktop and `uvx` will automatically download and run the MCP server from PyPI - just like `npx` for Node.js!\n\n---\n\n## Overview\n\nThis MCP server provides tools for querying Adobe CJA data, including:\n\n- Running analytics reports with dimensions and metrics\n- Multi-dimensional breakdown analysis\n- Time-series trend analysis at various granularities\n- Searching and filtering dimension values\n- Listing available dimensions and metrics\n- Data view configuration access\n\n## Features\n\n**Core Reporting Tools (MVP):**\n\n- Run ranked reports with dimensions and metrics\n- Get top N i…","publisher":null,"homepage":"https://github.com/markhilton/adobe-cja-mcp#readme","repository":"https://github.com/markhilton/adobe-cja-mcp#readme","version":"0.1.2","license":"MIT","protocols":["mcp"],"tags":["adobe","cja","customer-journey-analytics","mcp","model-context-protocol","analytics"],"pricing":null,"endpoints":[{"url":"pypi:adobe-cja-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":0.768,"provenance":"derived"}],"categories":["dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"adobe-cja-mcp","registry":"pypi","observedAt":"2026-09-09T08:22:23.080Z","publishedAt":"2025-11-06T16:23:00.804755Z","latestVersion":"0.1.2"}},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"adobe-cja-mcp","url":"https://pypi.org/project/adobe-cja-mcp/","firstSeenAt":"2026-09-09T08:20:33.027Z","fetchedAt":"2026-09-09T08:20:33.027Z","normalizedAt":"2026-09-09T08:20:33.027Z"}]},"firstSeenAt":"2026-09-09T08:20:33.027Z","updatedAt":"2026-09-09T08:22:23.080Z"}