From 598adf56bd10eb5b99b270d10a900087007ffb9c Mon Sep 17 00:00:00 2001
From: Daulet Amirkhanov <damirkhanov01@gmail.com>
Date: Wed, 29 Oct 2025 17:03:43 +0000
Subject: [PATCH] docs: update `cognee-mcp` README.md

---
 cognee-mcp/README.md | 52 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 52 insertions(+)

diff --git a/cognee-mcp/README.md b/cognee-mcp/README.md
index d14bc9fa1..9ac8b4973 100644
--- a/cognee-mcp/README.md
+++ b/cognee-mcp/README.md
@@ -110,6 +110,47 @@ If you'd rather run cognee-mcp in a container, you have two options:
       # For stdio transport (default)
       docker run -e TRANSPORT_MODE=stdio --env-file ./.env --rm -it cognee/cognee-mcp:main
       ```
+      
+      **Installing optional dependencies at runtime:**
+      
+      You can install optional dependencies when running the container by setting the `EXTRAS` environment variable:
+      ```bash
+      # Install a single optional dependency group at runtime
+      docker run \
+        -e TRANSPORT_MODE=http \
+        -e EXTRAS=aws \
+        --env-file ./.env \
+        -p 8000:8000 \
+        --rm -it cognee/cognee-mcp:main
+      
+      # Install multiple optional dependency groups at runtime (comma-separated)
+      docker run \
+        -e TRANSPORT_MODE=sse \
+        -e EXTRAS=aws,postgres,neo4j \
+        --env-file ./.env \
+        -p 8000:8000 \
+        --rm -it cognee/cognee-mcp:main
+      ```
+      
+      **Available optional dependency groups:**
+      - `aws` - S3 storage support
+      - `postgres` / `postgres-binary` - PostgreSQL database support
+      - `neo4j` - Neo4j graph database support
+      - `neptune` - AWS Neptune support
+      - `chromadb` - ChromaDB vector store support
+      - `scraping` - Web scraping capabilities
+      - `distributed` - Modal distributed execution
+      - `langchain` - LangChain integration
+      - `llama-index` - LlamaIndex integration
+      - `anthropic` - Anthropic models
+      - `groq` - Groq models
+      - `mistral` - Mistral models
+      - `ollama` / `huggingface` - Local model support
+      - `docs` - Document processing
+      - `codegraph` - Code analysis
+      - `monitoring` - Sentry & Langfuse monitoring
+      - `redis` - Redis support
+      - And more (see [pyproject.toml](https://github.com/topoteretes/cognee/blob/main/pyproject.toml) for full list)
 2. **Pull from Docker Hub** (no build required):
    ```bash
    # With HTTP transport (recommended for web deployments)
@@ -119,6 +160,17 @@ If you'd rather run cognee-mcp in a container, you have two options:
    # With stdio transport (default)
    docker run -e TRANSPORT_MODE=stdio --env-file ./.env --rm -it cognee/cognee-mcp:main
    ```
+   
+   **With runtime installation of optional dependencies:**
+   ```bash
+   # Install optional dependencies from Docker Hub image
+   docker run \
+     -e TRANSPORT_MODE=http \
+     -e EXTRAS=aws,postgres \
+     --env-file ./.env \
+     -p 8000:8000 \
+     --rm -it cognee/cognee-mcp:main
+   ```
 
 ### **Important: Docker vs Direct Usage**
 **Docker uses environment variables**, not command line arguments: