Vector database operations via Weaviate — create schemas, add objects, run semantic search, and build RAG pipelines.
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.
{
"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:
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.
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
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.
| 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 |
| Variable | Required | Description |
|---|---|---|
WEAVIATE_URL | Yes | See provider documentation |
WEAVIATE_API_KEY | Yes | Your WEAVIATE API KEY from the service's developer settings |
Add the following secrets under Project → Secrets:
WEAVIATE_URLWEAVIATE_API_KEYOnce added, every AI agent in your workspace can use Weaviate tools automatically.
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":{}}}'
MIT
Live Endpoint
https://mcp.aerostack.dev/s/aerostack/mcp-weaviate
Sub-50ms globally · Zero cold start
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Yes. The Weaviate MCP includes a create_collection tool that lets Claude create collections in your Weaviate account from a plain-English prompt. You can also update and delete collections — no Weaviate UI needed.
Yes. The Weaviate MCP has search and list tools for objects. Ask Claude to find objects by any criteria and it runs the Weaviate API query for you, returning results directly in the conversation.
Yes. The Weaviate MCP uses the open Model Context Protocol standard, so it works in Claude, Cursor, Windsurf, and any other MCP-compatible AI tool. All 8 Weaviate tools are available everywhere you connect it — install once on Aerostack.
Yes. Aerostack hosts the Weaviate MCP with encrypted credential storage and per-account authentication. Your Weaviate credentials are never shared with Claude's conversation — they're used server-side only.