vectorize-io/vectorize-mcp-server
MITAPI key required☁️ 📇 - MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
Install
npx -y -y @vectorize-io/vectorize-mcp-server@latestRequired environment variables
VECTORIZE_TOKENSet in your MCP configYOUR_TOKENSet in your MCP configclaude_desktop_config.json
{
"mcpServers": {
"vectorize-io-vectorize-mcp-server": {
"command": "npx",
"args": [
"-y",
"-y",
"@vectorize-io/vectorize-mcp-server@latest"
],
"env": {
"VECTORIZE_TOKEN": "<YOUR_VECTORIZE_TOKEN>",
"YOUR_TOKEN": "<YOUR_YOUR_TOKEN>"
}
}
}
}Add this to your Claude Desktop config file. Find it at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS.
What this does
vectorize-io/vectorize-mcp-server exposes a set of tools to Claude over the Model Context Protocol. After you add it to claude_desktop_config.json (snippet above) and restart Claude Desktop, those tools become callable inside any conversation. That makes it useful when you want Claude to reach into search engines and knowledge bases without copy-pasting context every turn.
Requirements
This server needs the following environment variables to be set before it can run:
VECTORIZE_TOKEN YOUR_TOKEN
Set these via the env object in your MCP config (see claude_desktop_config.json snippet above).
Common use cases
- •Search the open web, internal docs, or a vector store from inside a Claude session
- •Bring fresh information past Claude's training cutoff into context
- •Run multi-source research without copy-pasting URLs and snippets
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