mcpField
M
mcp-server-weaviate

mcp-server-weaviate

Local
github.com/sndaniDatabases2Updated 84w ago

About mcp-server-weaviate

mcp-server-weaviate is an MCP server for Weaviate. The available README describes setup for connecting it to Claude Desktop, but does not detail its exposed capabilities.

Key features

  1. 01Weaviate MCP server
  2. 02Claude Desktop setup instructions
  3. 03Smithery installation option

Use cases

  1. 01Set up Weaviate MCP for Claude Desktop
  2. 02Install the server through Smithery

MCP support

It is an MCP server for Weaviate, intended to be configured as a server for MCP clients. The provided README does not specify its tools or resources.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"localhost-server-weaviate": {
"command": "npx",
"args": [
"-y",
"@smithery/cli"
]
}
}
}
Run commandnpx -y @smithery/cli

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@smithery/cli

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

mcp-server-weaviate

smithery badge

MCP server for Weaviate

🏎️ Quickstart

Prerequisites
  • Ensure you have uv installed (see the docs for details)
  • Clone this repository
Install
Installing via Smithery

To install Weaviate MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @weaviate/mcp-server-weaviate --client claude
Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json

On Windows: %APPDATA%/Claude/claude_desktop_config.json

Development/Unpublished Servers Configuration

{
  "mcpServers": {
    "mcp-server-weaviate": {
      "command": "PYTHON_PATH",
      "args": [
        "-m",
        "src.server",
        "--weaviate-url",
        "YOUR_WEAVIATE_URL",
        "--weaviate-api-key",
        "YOUR_WEAVIATE_API_KEY",
        "--search-collection-name",
        "YOUR_SEARCH_COLLECTION",
        "--store-collection-name",
        "YOUR_STORE_COLLECTION",
        "--openai-api-key",
        "YOUR_OPENAI_API_KEY"
      ],
      "env": {
        "PYTHONPATH": "PATH_TO_MCP_SERVER_WEAVIATE_DIRECTORY"
      }
    }
  }
}

Demo

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.