Customer.io

by docs

Integrate Customer.io for powerful customer engagement software, workspace management, and marketing automation for team

Integrates with Customer.io's customer engagement platform to enable workspace management, user profile inspection, segment generation, and campaign analytics through OAuth-authenticated tools for marketing teams and developers.

github stars

OAuth authenticationStreamable HTTP transportFull workspace management

best for

  • / Marketing teams managing customer engagement campaigns
  • / Developers integrating Customer.io data into workflows
  • / Data analysts tracking customer behavior and segments

capabilities

  • / Manage Customer.io workspaces
  • / Inspect customer profiles and attributes
  • / Generate and manage user segments
  • / Analyze campaign performance metrics
  • / Query customer engagement data
  • / Access marketing automation insights

what it does

Connects to Customer.io's customer engagement platform to manage workspaces, inspect user profiles, create segments, and analyze campaign performance.

about

Customer.io is an official MCP server published by docs that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Customer.io for powerful customer engagement software, workspace management, and marketing automation for team

how to install

You can install Customer.io in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Customer.io is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

FAQ

What is the Customer.io MCP server?
Customer.io is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Customer.io?
This profile displays 26 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.726 reviews
  • Pratham Ware· Dec 20, 2024

    Customer.io is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Yuki Lopez· Dec 8, 2024

    We wired Customer.io into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Aanya Johnson· Dec 4, 2024

    Customer.io is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Zaid Desai· Nov 27, 2024

    Customer.io reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Nikhil Robinson· Nov 23, 2024

    Useful MCP listing: Customer.io is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Yash Thakker· Nov 11, 2024

    Useful MCP listing: Customer.io is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Amina Park· Oct 18, 2024

    Useful MCP listing: Customer.io is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Maya Perez· Oct 14, 2024

    Customer.io reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Dhruvi Jain· Oct 2, 2024

    Customer.io reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Oshnikdeep· Sep 21, 2024

    I recommend Customer.io for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

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