What is the Outlit MCP Server?
Outlit’s MCP server lets AI agents query your customer data directly through the Model Context Protocol (MCP), an open standard for connecting AI tools to external data sources. Supported agents include Claude Code, Claude Desktop, Cursor, and any MCP-compatible client. Once connected, your AI agent can search customers, pull revenue metrics, inspect activity timelines, search customer context using natural language, and run SQL analytics — all from within your conversation.Install Agent Skills
For the best experience, install Outlit agent skills to give your AI agent deeper context about query patterns, SDK integration, and best practices:outlit setup. See Agent Skills for details.
How to Connect Your AI Tool
Get your API key
Go to Settings > MCP Integration in the Outlit dashboard. Click Generate API Key, give it a descriptive name, and copy it immediately — it won’t be shown again.
Connect your AI tool
- Claude Code
- Codex
- Claude Desktop
- Cursor
YOUR_API_KEY with the key from Step 1.What Tools Are Available?
| Tool | What it does | Example prompt |
|---|---|---|
outlit_list_customers | Filter customers by billing status, activity recency, and revenue | ”Show me paying customers with MRR above $100 who haven’t been active in 30 days” |
outlit_list_users | Filter users by journey stage, activity, and customer | ”Find all signed-up users at Acme Corp who went inactive this week” |
outlit_get_customer | Get a complete customer profile with users, revenue, timeline, and metrics | ”Get the full profile for acme.com including their users and revenue” |
outlit_get_timeline | Get the activity timeline for a customer, filtered by channel and event type | ”Show me Acme Corp’s email and Slack activity from the last 7 days” |
outlit_search_customer_context | Search across customer facts and emails using natural language. Optionally scope to a single customer or search org-wide | ”What pricing concerns does Acme have?” |
outlit_get_facts | Retrieve structured customer facts with time filters and pagination | ”Show me facts for acme.com from the last 30 days” |
outlit_query | Run read-only SQL queries against your customer data | ”Which channels lead to the most revenue?” |
outlit_schema | Get table schemas to help write accurate SQL queries | ”Show me the available analytics tables” |