What is MCP?
MCP provides a standardized way for AI assistants to:- Discover available tools, resources, and prompts
- Execute operations like searching and uploading documents
- Access your organization’s knowledge in real-time
Learn more about MCP at modelcontextprotocol.io.
Why Use MCP with Orchata?
Real-Time Access
AI assistants query your live knowledge base, not stale snapshots.
No Code Required
Configure once, and your AI tools can search and update Orchata.
Full Functionality
12 MCP tools expose all Orchata features to AI assistants.
Secure
OAuth authentication with the same permissions and audit trail.
Use Cases
AI-Powered Search
Let Claude or Cursor search your documentation, codebase knowledge, or support articles:“Search Orchata for how to configure authentication”The AI uses
query_spaces to find relevant content and synthesizes an answer.
Automated Documentation
Use AI to help maintain your knowledge base:“Upload this README to the SDK Documentation space”The AI uses
upload_document to add content directly to Orchata.
Smart Space Discovery
AI can find the right space to search without you specifying:“Find information about our API rate limits”The AI uses
smart_query to discover relevant spaces, then searches them.
Getting Started
1
Create an Account
Sign up at app.orchata.ai if you haven’t already.
2
Configure Your AI Tool
Add the Orchata MCP server to your AI tool and connect via OAuth.
3
Start Using
Ask your AI assistant to search, upload, or manage your Orchata knowledge base.
MCP Server URLs
| Environment | URL |
|---|---|
| Production | https://api.orchata.ai/mcp |
| Development | http://localhost:3002 |
Authentication
The MCP server uses OAuth for authentication. When you first connect, you’ll be prompted to sign in to your Orchata account and authorize the connection.The MCP server uses your account permissions. Ensure your account has the necessary access for the operations you want to perform.
Available Features
The Orchata MCP server exposes:| Feature | Count | Description |
|---|---|---|
| Tools | 12 | CRUD operations for spaces, documents, and queries |
| Resources | 4 | Documentation and dynamic space information |
| Prompts | 2 | Guided workflows for RAG implementation |