A Model Context Protocol (MCP) server that provides seamless integration with Moorcheh's Embedding, Vector Store, Search, and Gen AI Answer services. This server enables you to interact with Moorcheh's comprehensive AI capabilities including document embedding, vector storage, semantic search, and AI-powered answer generation through the Model Context Protocol.
There are two ways to use the Moorcheh MCP server:
The easiest way to get started:
# Set your API key and run directly
MOORCHEH_API_KEY=your_api_key_here npx -y @moorchehai/mcpIf you prefer to clone and run locally:
-
Clone the repository
git clone https://github.com/moorcheh-ai/moorcheh-mcp.git cd moorcheh-mcp -
Install dependencies
npm install
-
Get your Moorcheh API key
- Visit Moorcheh Dashboard
- Sign in to your account
- Go to your account settings
- Generate or copy your API key
-
Set up your environment
# Copy the example environment file cp env.example .env -
Edit the .env file
# Open .env in your preferred editor # Replace 'your_moorcheh_api_key_here' with your actual API key MOORCHEH_API_KEY=your_actual_api_key_here
npm startThat's it! Your Moorcheh MCP server is now running and ready to use.
To use the Moorcheh MCP server with Claude Desktop:
Moorcheh-mcp.mp4
- Download Claude Desktop from https://claude.ai/download
- Install and launch Claude Desktop
Option A: Using NPX (Recommended)
- In Claude Desktop, go to Settings → Developer
- Click Edit Config
- Configure the server with these settings:
{ "mcpServers": { "moorcheh": { "command": "npx", "args": ["-y", "@moorchehai/mcp"], "env": { "MOORCHEH_API_KEY": "your_actual_api_key_here" } } } }
Option B: Local Installation
-
In Claude Desktop, go to Settings → Developer
-
Click Edit Config
-
Configure the server with these settings:
{ "mcpServers":{ "moorcheh": { "command": "node", "args": [ "path\\to\\moorcheh-mcp\\src\\server\\index.js" ], "env": { "NODE_ENV": "development" } } } } -
Important:
- For Option A: Replace
your_actual_api_key_herewith your actual Moorcheh API key - For Option B: Replace
path\\to\\moorcheh-mcp\\src\\server\\index.jswith the actual path to yourindex.jsfile and create .env in moorcheh-mcp with your API key
- For Option A: Replace
-
Save the configuration file and restart Claude Desktop completely
- Start a new conversation in Claude Desktop
- Ask Claude to list the available tools: "Can you list down my namespaces?"
- You should see tools like
list-namespaces,search,answer, etc.
To use the Moorcheh MCP server with Cursor IDE:
- Download Cursor from https://cursor.com
- Install and launch Cursor
Option A: Using NPX (Recommended)
- In Cursor, go to Settings → Tools & integration
- Click Add MCP Server
- Configure the server with these settings:
{
"mcpServers": {
"moorcheh": {
"command": "npx",
"args": ["-y", "@moorchehai/mcp"],
"env": {
"MOORCHEH_API_KEY": "your_actual_api_key_here"
}
}
}
}Option B: Local Installation
- In Cursor, go to Settings → Tools & integration
- Click Add MCP Server
- Configure the server with these settings:
{
"mcpServers":{
"moorcheh": {
"command": "node",
"args": [
"path\\to\\moorcheh-mcp\\src\\server\\index.js"
],
"env": {
"NODE_ENV": "development"
}
}
}
}- For Option A: Replace
your_actual_api_key_herewith your actual Moorcheh API key in the configuration - For Option B: Create .env in moorcheh-mcp directory and add your API key with
MOORCHEH_API_KEY=your_key_here
- Open a new chat in Cursor (Cmd/Ctrl + L)
- Ask the AI to list available Moorcheh tools: "What Moorcheh tools can I use?"
- You should see tools like
list-namespaces,search,answer, etc.
The Moorcheh MCP server provides tools for:
- Namespace Management: Create, list, and delete namespaces for organizing your data
- Document Operations: Upload and manage text documents and vector embeddings
- Advanced Search: Perform semantic search across your data
- AI-Powered Answers: Get intelligent responses based on your stored data
list-namespaces: View all your available namespacescreate-namespace: Create a new namespace for storing datadelete-namespace: Remove a namespace and all its contents
upload-text: Upload text documents to a namespaceupload-vectors: Upload vector embeddings to a namespaceupload-file: Upload files to a text namespace via pre-signed URL (supported types: .pdf, .docx, .xlsx, .json, .txt, .csv, .md)list-files: List raw file objects in S3 storage for a namespace (GET /list-files; see List Files)delete-file: Delete one or more raw files from S3 storage (DELETE /delete-filewithfile_nameand/orfile_names; see Delete File)fetch-text-data: List text and summary chunks from a text namespace (GET/documents/fetch-text-data, up to 100 items per response; see Fetch Text Data)get-data: Retrieve text documents by ID from text namespacesdelete-data: Remove specific data items from a namespace
search: Search across namespaces with vector similarityanswer: Get AI-generated answers based on top of your search
These IDs match the current Moorcheh Available Models list (REST answer / Python answer.generate).
| Model ID | Name | Provider | Description |
|---|---|---|---|
anthropic.claude-sonnet-4-6 |
Claude Sonnet 4.6 | Anthropic | Fast flagship: coding, tools, long docs and RAG (~1M context) |
anthropic.claude-opus-4-6-v1 |
Claude Opus 4.6 | Anthropic | Deepest reasoning and hardest tasks; pick when quality matters most (~1M context) |
meta.llama4-maverick-17b-instruct-v1:0 |
Llama 4 Maverick 17B | Meta | Long context, summarization, function calling, fine-tuning friendly |
amazon.nova-pro-v1:0 |
Amazon Nova Pro | Amazon | Chat, math, and structured answers for AWS-style workloads |
deepseek.r1-v1:0 |
DeepSeek R1 | DeepSeek | Step-by-step reasoning; math, logic, and technical explanations |
deepseek.v3.2 |
DeepSeek V3.2 | DeepSeek | Efficient general Q&A, multilingual, everyday RAG (~164K context) |
openai.gpt-oss-120b-1:0 |
OpenAI GPT OSS 120B | OpenAI | Large generalist: research-style answers and long-form writing |
qwen.qwen3-32b-v1:0 |
Qwen 3 32B | Qwen | Code and bilingual (EN/ZH) tasks in a smaller footprint |
qwen.qwen3-next-80b-a3b |
Qwen3 Next 80B A3B | Qwen | MoE model for long chats, docs, and code at scale (~256K context) |
- Node.js: Version 18.0.0 or higher
- Moorcheh Account: Active account with API access
- Git: For cloning the repository
For development with auto-reload:
npm run dev| Script | Description |
|---|---|
npm start |
Start the MCP server |
npm run dev |
Start in development mode with auto-reload |
npm test |
Run tests (when available) |
| Variable | Description | Required | Default |
|---|---|---|---|
MOORCHEH_API_KEY |
Your Moorcheh API key | Yes | None |
-
"Missing required API_KEY environment variable"
- Make sure you've created a
.envfile - Verify your API key is correctly set in the
.envfile - Check that the API key is valid in your Moorcheh dashboard
- Make sure you've created a
-
"Forbidden: Check your API key"
- Your API key may be invalid or expired
- Generate a new API key from the Moorcheh dashboard
- Update your
.envfile with the new key
-
"Network Error"
- Check your internet connection
- Verify the API endpoints are accessible
- Try again in a few minutes
- GitHub Issues: https://github.com/moorcheh-ai/moorcheh-mcp/issues
- Moorcheh Documentation: https://console.moorcheh.ai/docs/mcp
- Moorcheh Dashboard: https://console.moorcheh.ai
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
We welcome contributions! Please feel free to submit a Pull Request.
For a detailed list of changes, see CHANGELOG.md.