Agentic RAG MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| RAG_MODEL | No | Model name for Claude (default: claude-opus-4-8) | |
| RAG_TOP_K | No | Number of top chunks to retrieve (default: 5) | |
| DATABASE_URL | Yes | PostgreSQL connection string with pgvector | |
| VOYAGE_API_KEY | Yes | Voyage API key for embeddings | |
| RAG_EMBED_MODEL | No | Embedding model name (default: voyage-3.5) | |
| ANTHROPIC_API_KEY | Yes | Anthropic API key for Claude | |
| FIRECRAWL_API_KEY | No | Optional Firecrawl API key for web research | |
| RAG_MAX_REVISIONS | No | Maximum number of revision cycles (default: 3) |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| ingestA | Scrape a URL, chunk + embed it, and add it to the knowledge base. |
| askA | Answer a question with the multi-agent RAG pipeline; returns answer + citations. |
| searchA | Return the top-k most relevant stored chunks for a query (retrieval only). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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