ConfigCat MCP Server

Created By
configcat8 months ago
Enables AI tools to interact with ConfigCat, a feature flag service for teams. Supports managing ConfigCat feature flags, configs, environments, products and organizations. Helps to integrate ConfigCat SDK, implement feature flags and remove zombie (stale) flags.
Overview

What is ConfigCat MCP Server?

ConfigCat MCP Server is a management tool that enables AI tools to interact with ConfigCat, a feature flag service for teams. It allows users to manage feature flags, configurations, environments, products, and organizations seamlessly.

How to use ConfigCat MCP Server?

To use the ConfigCat MCP Server, set up the required environment variables for API authentication and integrate it into your code editor or development environment by following the provided setup instructions.

Key features of ConfigCat MCP Server?

  • Complete management of feature flags, configs, environments, and products through the public management API.
  • Tools for creating, reading, updating, and deleting entities within ConfigCat.
  • Comprehensive SDK documentation and code examples for easy integration.

Use cases of ConfigCat MCP Server?

  1. Managing feature flags for different environments in a software project.
  2. Integrating feature flag management directly into development tools like Visual Studio Code.
  3. Automating the creation and management of feature flags in CI/CD pipelines.

FAQ from ConfigCat MCP Server?

  • What is the purpose of the ConfigCat MCP Server?

It provides a way to manage feature flags and configurations programmatically through a server interface.

  • Is it safe to use in production?

No, this server is designed for management operations only and should not be used for evaluating feature flag values in production applications.

  • Where can I find the documentation?

You can find the documentation on the ConfigCat website.

Server Config

{
  "mcpServers": {
    "ConfigCat": {
      "command": "npx",
      "args": [
        "-y",
        "@configcat/mcp-server"
      ],
      "env": {
        "CONFIGCAT_API_USER": "YOUR_API_USER",
        "CONFIGCAT_API_PASS": "YOUR_API_PASSWORD"
      }
    }
  }
}
Project Info
Created At
8 months ago
Updated At
8 months ago
Author Name
configcat
Star
-
Language
-
License
-

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

20 hours ago
Mnemom

21 hours ago
Shippo
@Shippo

a day ago