What tools does Vectra MCP Server expose?
It exposes tools for collection management, embedding text and files, querying collections, file operations, and direct ArangoDB node access.
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基本情報
An MCP server providing tools to manage and query a Vectra knowledge base, enabling integration with MCP clients via a backend API.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"vectra-mcp-server": {
"command": "node",
"args": [
"build/index.js"
]
}
}
}Create a new Vectra collection.
List existing Vectra collections.
Embeds multiple text items in batch into Vectra.
Reads multiple local files and embeds their content into Vectra.
Add an already embedded file (referenced by its ID) to a specific Vectra collection.
List files within a specific Vectra collection.
Query the knowledge base within a specific Vectra collection.
Delete a file and its associated embeddings from Vectra.
Fetch a specific node directly from the underlying ArangoDB database by its key.
Vectra MCP Server is a TypeScript-based MCP server that provides tools to manage and query a Vectra knowledge base, enabling integration with MCP-compatible clients. It interacts with a backend Vectra API.
Install dependencies with npm install, build with npm run build, then run the server with node build/index.js. For development, use npm run watch for auto-rebuild. The server communicates over stdio.
It exposes tools for collection management, embedding text and files, querying collections, file operations, and direct ArangoDB node access.
Run `npm install`, then `npm run build`, then `node build/index.js`. For development, use `npm run watch` for auto-rebuilding.
Yes, `query_collection` always uses hybrid search (vector + keyword) and enables graph search enhancement by default.
Yes, the `get_arangodb_node` tool fetches a specific node from the underlying ArangoDB database by its key.
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