Resources
MCP resources provide read-only access to documentation and dynamic data. AI assistants can read these to understand how to use Orchata.Documentation Resources
Example usage:
Dynamic Space Resources
Access detailed information about any space:
Example:
Prompts
MCP prompts provide guided workflows for common RAG tasks. They help AI assistants understand best practices and follow optimal patterns.rag-workflow
Step-by-step guide for implementing a RAG workflow with Orchata. Parameters:string
Type of RAG application:
chatbot, search, qa, or agent- Organizing knowledge into spaces
- Choosing query strategies
- Formatting context for LLMs
- Generating grounded responses
agent use case:
space-discovery
Help discover which spaces contain the information you need. Parameters:string
The topic or question you’re trying to find information about
- How to use
smart_queryfor the topic - How to search the recommended spaces
- Strategies for refining results
Using Resources and Prompts
When to Use Resources
- Learning: AI needs to understand how Orchata works
- Reference: AI needs to look up API details or concepts
- Context: AI needs information about a specific space
When to Use Prompts
- Guidance: AI needs help with the right approach
- Best Practices: AI needs to follow recommended patterns
- Discovery: AI needs to find relevant information
Example Workflow
Here’s how an AI assistant might use resources and prompts together:1
Read Documentation
AI reads
orchata://docs/introduction to understand core concepts.2
Use Discovery Prompt
AI uses
space-discovery prompt with the user’s topic.3
Execute Smart Query
AI calls
smart_query tool to find relevant spaces.4
Search Spaces
AI calls
query_spaces with discovered space IDs.5
Generate Response
AI synthesizes an answer from the retrieved content.
Resource and Prompt Reference
All Resources
All Prompts
Next Steps
MCP Tools
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Setup Guides
Configure your AI tool for Orchata.