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ConfigCat/mcp-server

by Various

Official ConfigCat Model Context Protocol (MCP) Server

C

MCP

ConfigCat/mcp-server

Added 1 June 2026

#configcat #feature-flags #feature-toggle #mcp-server #modelcontextprotocol

Overview

ConfigCat/mcp-server is an official Model Context Protocol server that exposes ConfigCat feature flags and configuration management through a standardized MCP interface. It allows AI agents to read and manage feature flags, targeting rules, and configuration values using the ConfigCat API.

Best for

Best for
Developers using ConfigCat who want to manage feature flags through AI assistants or MCP-based tools

Use cases

  • Enable AI agents to check feature flag status during development or debugging
  • Automate feature flag updates and targeting rule changes via natural language commands
  • Integrate ConfigCat configuration management into MCP-compatible AI workflows

How to use

Tools exposed

  • CONFIGCAT_API_USER
  • CONFIGCAT_API_PASS
  • CONFIGCAT_BASE_URL

Tested with

Cursor, VS Code, Claude Desktop

Example client config

{\n  "mcpServers": {\n    "ConfigCat": {\n      "command": "npx",\n      "args": ["-y", "@configcat/mcp-server"],\n      "env": {\n        "CONFIGCAT_API_USER": "YOUR_API_USER",\n        "CONFIGCAT_API_PASS": "YOUR_API_PASSWORD"\n      }\n    }\n  }\n}

Notes

ConfigCat/mcp-server is an official Model Context Protocol server that exposes ConfigCat feature flags and configuration management through a standardized MCP interface. It allows AI agents to read and manage feature flags, targeting rules, and configuration values using the ConfigCat API.

16 stars on GitHub. Last updated 2026-05-19. Licensed MIT.

Use cases

  • Enable AI agents to check feature flag status during development or debugging
  • Automate feature flag updates and targeting rule changes via natural language commands
  • Integrate ConfigCat configuration management into MCP-compatible AI workflows

Pros

  • Official integration ensures reliable API compatibility with ConfigCat
  • TypeScript implementation offers type safety and easy integration for Node.js projects
  • Low star count suggests early stage but focused functionality

Cons

  • Limited to ConfigCat ecosystem, not useful for other feature management platforms
  • Small community and few contributors may mean slower updates or bug fixes
  • Requires existing ConfigCat account and API key setup

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Official integration ensures reliable API compatibility with ConfigCat
  • TypeScript implementation offers type safety and easy integration for Node.js projects
  • Low star count suggests early stage but focused functionality

Cons

  • Limited to ConfigCat ecosystem, not useful for other feature management platforms
  • Small community and few contributors may mean slower updates or bug fixes
  • Requires existing ConfigCat account and API key setup
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