
mcp-server-weaviateThis MCP server connects AI assistants directly to your Weaviate database, giving them tools to add new items and search existing data with fast hybrid queries. You just point it at your Weaviate setu
Overview
Key features
- Hybrid (vector + keyword) search
- Collection schema inspection
- Tenant listing in multi-tenant collections
- Object upsertion
- RBAC authentication and authorization
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
AI Assistant Data Integration
Connect AI assistants directly to a Weaviate database to add new items and search existing data.
Efficient Data Search and Retrieval
Use fast hybrid queries to efficiently search and retrieve data from a Weaviate database.
Pros & Cons
Pros
- Simplified setup with a single environment variable
- Tight integration with Weaviate's REST API and RBAC
- Fast hybrid queries for efficient data search and retrieval
Cons
- Deprecated standalone server, now requires Weaviate version 1.37.1 or later
- Limited to use with Weaviate databases
Reviews
Sign in to leave a review.
No reviews yet. Be the first!
Q&A
Are there any limitations?
The MCP server is limited to use with Weaviate databases and requires Weaviate version 1.37.1 or later.
Asked by Ines Fernandes · Jul 21, 2026
What are the key features?
The key features include hybrid search, collection schema inspection, tenant listing, object upsertion, and RBAC authentication and authorization.
Asked by Lindiwe Mahlangu · Jul 10, 2026
What is the MCP server?
The MCP server is a tool that connects AI assistants to a Weaviate database, allowing them to add new items and search existing data with fast hybrid queries.
Asked by Salome Beridze · May 25, 2026
How to enable MCP server?
The MCP server can be enabled with a single environment variable: MCP_SERVER_ENABLED=true. It is available from Weaviate version 1.37.1 onwards.
Asked by Bruno Kaufmann · May 25, 2026
Ask a question
MCP Servers alternatives

Open-source MCP server that lets LLMs drive real browsers via Playwright and accessibility snapshots.

Python agent framework from the Pydantic team for building type-safe GenAI apps.

Adaptive memory layer that helps AI agents learn from context over time.

AI email assistant that organizes, drafts replies, and helps you reach inbox zero faster.

Open-source 24/7 local screen and audio recording for building context-aware AI apps

TypeScript library for building and orchestrating AI agents with tools, memory, and multi-agent workflows.

Bringing the bankless onchain API to MCP

Python tool for converting files and office documents to Markdown.
Trending now

Document intelligence API that parses, splits, OCRs, and extracts structured data from complex PDFs, slides, and spreadsheets.

Sponsored answers, paid per click.

Accurate Homework Help with Full Explanations

Open multimodal 12B model handling interleaved images and text with a 128K context window.
