mcp-server

LibreChat

Enhanced ChatGPT Clone: Features Agents, MCP, Skills, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active
45,478 stars+266★ this week9,337 forksTypeScriptUpdated 10/10/2026100% free · open source
What it does

LibreChat is an enhanced ChatGPT clone that allows for multi-user authentication, AI model switching, and integration with various cloud services and AI models, enabling founders to build custom conversational AI solutions.

When to use it
  • •When you need a customizable conversational AI platform for your startup
  • •When you want to integrate multiple AI models and services into a single chat interface
  • •When you require secure multi-user authentication for your conversational AI application
Ready-to-paste prompt
Send a message to the chat interface with the text `@openai what is the weather like today?` to use the OpenAI model to respond to the user's question
Heads up: Make sure you have a valid API key for the AI services you want to use, such as OpenAI or AWS, and configure them correctly in the `config.json` file to avoid authentication errors
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/librechat && curl -fsSL https://workflowstacks.com/api/skills/librechat/claude-skill -o ~/.claude/skills/librechat/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How LibreChat works
Codeflow
Free to inspect

LibreChat is a very large TypeScript project (~696k lines across 3247 code files, plus 744 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~696k lines · 3247 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js · Docker
Needs API keys (.env)
TypeScript 81%JavaScript 19%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    package.json
    Dependencies and the commands it exposes
  4. 4
    .env.example
    The API keys and settings you must provide
  5. 5
    skill/README.md
    Inside skill/ — an example of what the AI is told to do
What's in each folder
skill/Prompts, skills & agent definitions1 files
src/Core code — the actual logic1 files
client/Frontend / UI1841 files
packages/Sub-packages / plugins1605 files
api/Backend / API559 files
config/Configuration49 files
helm/Deployment / infrastructure34 files
scripts/Helper scripts15 files
READMEHas testsDocumentedCI checksDocker readyMIT licenseUpdated this month
Quick Actions
Details
Creator
danny-avila
Language
TypeScript
Category
mcp-server
Published
2/12/2023

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/librechat.svg)](https://workflowstacks.com/skills/librechat?utm_source=github&utm_medium=badge)
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