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Weaviate MCP Server — Hosted Api Connectors Integration

MCP Server language Hosted language Public

Vector database operations via Weaviate — create schemas, add objects, run semantic search, and build RAG pipelines.

aerostack @aerostack verified
• v0.1.0 • MIT • Updated Jun 28, 2026
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Use with AI AssistantsMCP

Connect Claude, Cursor, or any MCP-compatible client — then call tools directly

① Add This MCP Server

Paste into your AI client config — then all its tools are available instantly.

.claude/mcp.json
{
  "mcpServers": {
    "weaviate": {
      "url": "https://mcp.aerostack.dev/s/aerostack/mcp-weaviate",
      "headers": {
        "Authorization": "Bearer YOUR_AEROSTACK_TOKEN"
      }
    }
  }
}

Replace YOUR_AEROSTACK_TOKEN with your API token from the dashboard.

② Call a Tool

Ask your AI assistant to call a specific tool, or send raw JSON-RPC:

+3 more

Natural Language Prompt

“Use the _ping tool to verify weaviate credentials by calling a lightweight read endpoint. used internally by aerostack to validate credentials”

Using a Workspace?

Add this MCP to your Workspace — your team shares one token, secrets are stored securely, and every AI agent in the workspace can call it without per-user setup.

add_circleAdd to Workspace

description Overview

mcp-weaviate — Weaviate MCP Server

Vector database operations via Weaviate — create schemas, add objects, run semantic search, and build RAG pipelines.

Live endpoint: https://mcp.aerostack.dev/s/aerostack/mcp-weaviate

What You Can Do

This MCP server gives AI agents access to Weaviate via 8 tools. Connect it to any Aerostack workspace and your agents can interact with Weaviate directly.

Available Tools

Tool Description
list_collections List all collections/classes in the Weaviate schema
get_collection Get the schema definition for a specific collection/class
create_collection Create a new collection/class in the Weaviate schema
delete_collection Delete a collection/class and all its objects from Weaviate
add_objects Add one or more objects to a Weaviate collection. Uses batch endpoint for multiple objects.
query_objects Query objects using the Weaviate GraphQL API. Provide a full GraphQL query string.
get_object Get a specific object by its class and UUID
delete_object Delete a specific object by its class and UUID

Configuration

Variable Required Description
WEAVIATE_URL Yes See provider documentation
WEAVIATE_API_KEY Yes Your WEAVIATE API KEY from the service's developer settings

Quick Start

Add to Aerostack Workspace
  1. Go to aerostack.dev → Your Project → MCPs
  2. Search for "Weaviate" and click Add to Workspace

Add the following secrets under Project → Secrets:

  • WEAVIATE_URL
  • WEAVIATE_API_KEY

Once added, every AI agent in your workspace can use Weaviate tools automatically.

Direct API Call
curl -X POST https://mcp.aerostack.dev/s/aerostack/mcp-weaviate \
  -H 'Content-Type: application/json' \
  -H 'X-Mcp-Secret-WEAVIATE-URL: your-weaviate-url' \
  -H 'X-Mcp-Secret-WEAVIATE-API-KEY: your-weaviate-api-key' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"list_collections","arguments":{}}}'

License

MIT

terminal Tools (9)

Available tools on this MCP server. Each tool can be called directly from any AI agent.

terminal
_ping #1

Verify Weaviate credentials by calling a lightweight read endpoint. Used internally by Aerostack to validate credentials.

terminal
list_collections #2

List all collections/classes in the Weaviate schema

terminal
get_collection #3

Get the schema definition for a specific collection/class

terminal
create_collection #4

Create a new collection/class in the Weaviate schema

terminal
delete_collection #5

Delete a collection/class and all its objects from Weaviate

terminal
add_objects #6

Add one or more objects to a Weaviate collection. Uses batch endpoint for multiple objects.

terminal
query_objects #7

Query objects using the Weaviate GraphQL API. Provide a full GraphQL query string.

terminal
get_object #8

Get a specific object by its class and UUID

terminal
delete_object #9

Delete a specific object by its class and UUID

Details

upgrade Version 0.1.0
gavel License MIT
wifi Transport streamable-http
lock Access Public
category Category API Connectors
terminal Tools 9

language Live Endpoint

https://mcp.aerostack.dev/s/aerostack/mcp-weaviate

Sub-50ms globally · Zero cold start

Publisher

aerostack
@aerostack verified

Pre-built functions for the most common MCP tool patterns. Clone, extend, and deploy.

Tags

weaviate vector-database embeddings rag semantic-search
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Frequently asked questions

What is the Weaviate MCP server and what can it do? +

The Weaviate MCP server is hosted on Aerostack and exposes these tools to your AI agent: `_ping`, `list_collections`, `get_collection`, `create_collection`, `delete_collection`. You get one hosted URL — no self-hosting — that works from Claude, Cursor, ChatGPT, Gemini, VS Code, or any MCP-compatible client, and you can share it with your team or combine it with other MCP servers in a workspace.

Is the Weaviate MCP server hosted, or do I have to run it myself? +

It's hosted on Aerostack's edge infrastructure — you don't deploy or maintain anything. Add it to a workspace and you get one authenticated URL, with secrets encrypted, that any AI agent or editor can connect to. Use it solo or share the same URL across your whole team.

Which AI agents and editors can use the Weaviate MCP server? +

Any MCP client: Claude and Claude Code, Cursor, ChatGPT, Gemini, Windsurf, Cline, VS Code, and custom agents. Because it's one hosted URL, the same Weaviate MCP server works everywhere — and you can compose it with other MCP servers, skills, and functions behind a single workspace URL.

How do I install the Weaviate MCP server in Claude Desktop? +

Add the following to your Claude Desktop config (`claude_desktop_config.json`): ```json { "mcpServers": { "@aerostack/mcp-weaviate": { "command": "npx", "args": ["-y", "@aerostack/@aerostack/mcp-weaviate"] } } } ``` Then restart Claude Desktop and the tools will appear automatically.

How do I use the Weaviate MCP server in Cursor? +

In Cursor, open **Settings → MCP** and add: ```json { "name": "@aerostack/mcp-weaviate", "command": "npx", "args": ["-y", "@aerostack/@aerostack/mcp-weaviate"] } ``` Save and reload Cursor. The MCP tools will be available in Agent mode.

Does Weaviate MCP require authentication? +

Yes. Weaviate requires authentication. Check the MCP's documentation for the required credentials.