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outlit-mcp

Query Outlit customer data via MCP tools for listings, timelines, and SQL analytics.

3|Updated Jan 28, 2026
Search Tags:#timeline#analytics#mcp#sql#customer#outlit
One-click install
npx skills add https://github.com/OutlitAI/outlit-agent-skills --skill outlit-mcp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: outlit-mcp
Source: https://github.com/OutlitAI/outlit-agent-skills/tree/main/skills/outlit-mcp
Command: npx skills add https://github.com/OutlitAI/outlit-agent-skills --skill outlit-mcp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides unified access to Outlit customer data via MCP tools, enabling rapid exploration of customer profiles, activity timelines, revenue metrics, and data exploration tasks.

Core Features & Use Cases

  • Browse and filter customers with outlit_list_customers.
  • Deep dive on a single customer with outlit_get_customer, including related data such as users and revenue when requested.
  • Retrieve customer activity timelines using outlit_get_timeline.
  • Execute raw SQL analytics with outlit_query after discovering schema via outlit_schema.

Quick Start

Connect your MCP API key and run the setup, then verify the connection with outlit_schema.

Frequently Asked Questions about outlit-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query customer analytics data using MCP tools?▼

Retrieve customer activity timelines using MCP tools by calling outlit_get_timeline, which surfaces chronological customer intelligence data for rapid exploration and analysis.

How do I list and filter customer profiles via SQL analytics?▼

List and filter customer profiles via SQL analytics by running the outlit_list_customers tool to browse accounts, then using outlit_query for deeper raw SQL filtering against analytics data.

Do I need an API key to execute SQL queries against customer data?▼

Yes, an API key and environment configuration are required to execute SQL queries. The setup enforces read-only, organization-scoped access to protect analytics data during exploration.

What is the best way to discover schema before running SQL analytics?▼

The best way to discover schema before running SQL analytics is to use the outlit_schema tool, which reads database structure to guide your read-only SQL queries accurately.

Can I get a deep dive on a single customer account including revenue metrics?▼

Yes, you can get a deep dive on a single customer account using outlit_get_customer, which retrieves related data such as users and revenue metrics when explicitly requested.

Are there limitations on the SQL queries I can run against analytics data?▼

Limitations include enforcing read-only access and organization-scoped boundaries on all SQL queries executed via outlit_query, preventing unauthorized modifications or cross-organization access.

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