readme

README.md

@@ -21,3 +21,33 @@ This is an LLM-based generation service designed to be deployed as a modular com
 - HuggingFace: `HF_TOKEN` 
 
 2. Inference provider and model settings are accessible via params.cfg
+
+## MCP Endpoint
+
+## Available Tools
+
+### `rag_generate`
+
+Generate an answer to a query using provided context through RAG. This function takes a user query and relevant context, then uses a language model to generate a comprehensive answer based on the provided information.
+
+**Input Schema:**
+
+| Parameter | Type | Description |
+|-----------|------|-------------|
+| `query` | string | The user's question or query |
+| `context` | string | The relevant context/documents to use for answering |
+
+**Returns:** The generated answer based on the query and context
+
+**Example Usage:**
+
+```json
+{
+  "query": "What are the benefits of renewable energy?",
+  "context": "Documents and information about renewable energy sources..."
+}
+```
+
+---
+
+*This tool uses an LLM to generate answers using the most relevant information from the context, along with the input query.*