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Weaviate
Search Weaviate vector collections.
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About
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Weaviate is a Model Context Protocol server in the Data & Databases category. It lets AI assistants that speak MCP call its tools and read its resources over STDIO.
Example tools
Illustrative tool names — the actual tool set is defined by the server at runtime.
query
Run a read-only SQL query
list_tables
List tables in the connected database
describe_table
Return column info for a table
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Frequently Asked Questions
Common questions about Weaviate.
- What is the Weaviate Model Context Protocol (MCP) server?
- The Weaviate MCP server enables searching of Weaviate vector collections. It acts as an integration layer, allowing clients to interact with Weaviate instances.
- How do I configure the Weaviate MCP server in a client like Claude Desktop?
- To configure the Weaviate MCP server, you will need to add it via its 'stdio' transport. The specific steps depend on the client's interface for adding new MCP servers.
- Does the Weaviate MCP server require an API key for authentication?
- Yes, the Weaviate MCP server uses API key authentication. A valid API key is required to connect and interact with your Weaviate instance.
- What are the primary capabilities exposed by the Weaviate MCP server?
- The server primarily exposes capabilities for searching Weaviate vector collections. This allows for semantic search and retrieval based on vector embeddings.
- Are there any known limitations or prerequisites for using the Weaviate MCP server?
- A key prerequisite is having an operational Weaviate instance with indexed vector collections. The server facilitates interaction with an existing Weaviate deployment.
Install Weaviate
Claude Desktop
Add this to claude_desktop_config.json.
{
"mcpServers": {
"weaviate": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-weaviate"
]
}
}
}Cursor
Add this to ~/.cursor/mcp.json.
{
"mcpServers": {
"weaviate": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-weaviate"
]
}
}
}VS Code
Add this to your workspace settings.json.
{
"mcp.servers": {
"weaviate": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-weaviate"
]
}
}
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