Weaviate Docs MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Weaviate Docs MCP Serversearch docs for how to create a schema"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Weaviate Docs MCP Server
MCP server for searching Weaviate documentation using semantic search.
Setup
Clone the Weaviate docs repository:
git clone https://github.com/weaviate/docs.gitInstall dependencies:
uv syncCreate
.envfile:
cp .env.example .envEdit .env with your credentials:
WEAVIATE_DOCS_MCP_URL: Your Weaviate cluster URLWEAVIATE_DOCS_MCP_API_KEY: Your Weaviate API keyCOHERE_API_KEY: Your Cohere API key (for embeddings)CATALOG_COLLECTION_NAME: Collection name (default:DocCatalog)DOCS_ROOT_PATH: Base path to the docs folder (default:./docs/docs)DOCS_PATHS: (Optional) Comma-separated subdirectories to scan (default:weaviate,deploy)
Related MCP server: MCPDocSearch
Usage
With Claude Desktop
Add to your Claude Desktop config:
MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"weaviate-docs": {
"command": "uv",
"args": [
"--directory",
"/Users/jphwang/code/weaviate-docs-mcp",
"run",
"weaviate-docs-mcp"
]
}
}
}Available Tools
search_docs
Search documentation by semantic similarity.
Parameters:
query(string, required): Search query to find relevant documentationreturn_type(string, optional): Format of results (default: "full_documents")
Returns: Up to 5 most relevant documents with full content and referenced code files
Catalog Management
The catalog must be updated manually before the MCP server can search documents.
Update the catalog
Run the standalone script to scan for new/modified documents:
python update_catalog.pyOr limit the number of documents (useful for testing):
python update_catalog.py --limit 5This script:
Scans the docs directory for new or modified markdown files
Generates metadata (title, topics, summary, doctype) using AI
Stores metadata in both local
catalog.jsonand WeaviateRemoves entries for deleted documents
Syncs local catalog with Weaviate: Re-adds any documents that exist in the local catalog but are missing from Weaviate
The script intelligently handles three scenarios:
New or modified documents: Generates fresh metadata and updates both catalog and Weaviate
Deleted documents: Removes from both local catalog and Weaviate
Out-of-sync documents: Re-syncs documents that exist in local catalog but missing from Weaviate (e.g., after Weaviate collection recreation)
Architecture
This MCP server is designed for read-only documentation search. Catalog management is intentionally kept separate as an admin operation.
Components
MCP Server (
src/weaviate_docs_mcp/server.py) - Providessearch_docstool for clientsCatalog Script (
update_catalog.py) - Admin tool to rebuild the search indexDocument Loader - Parses markdown files and extracts referenced code
Database Layer - Connects to Weaviate for vector search
Why separate catalog updates?
Catalog updates are expensive operations that:
Process potentially thousands of documents
Use AI credits for metadata generation
Take significant time (minutes to hours)
Should be controlled by administrators
By keeping this separate, the MCP server remains fast and focused on search.
Development
Run the server:
uv run weaviate-docs-mcpThis server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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