Vectra MCP Server

Name: Vectra MCP Server
Author: theVuArena

@theVuArena

Vectra MCP Server について

An MCP server providing tools to manage and query a Vectra knowledge base, enabling integration with MCP clients via a backend API.

#vectra #mcp-server #knowledge-base

基本情報

カテゴリ

その他

ライセンス

AGPL-3.0

ランタイム

node

トランスポート

stdio

公開者

theVuArena

設定

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"
      ]
    }
  }
}

ツール

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.

概要

What is Vectra MCP Server?

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.

How to use Vectra MCP Server?

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.

Key features of Vectra MCP Server

Create and list Vectra collections.
Embed texts in batch with optional metadata.
Embed local files into Vectra.
Query collections using hybrid and graph search.
Add, list, and delete files in collections.
Fetch ArangoDB nodes directly by key.

Use cases of Vectra MCP Server

Integrate a Vectra knowledge base with MCP-compatible AI assistants.
Embed large batches of documents and query with hybrid search.
Manage collections and files programmatically through an MCP interface.

FAQ from Vectra MCP Server

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.

How do I build and run the server?

Run npm install, then npm run build, then node build/index.js. For development, use npm run watch for auto-rebuilding.

Does the query tool support hybrid search?

Yes, query_collection always uses hybrid search (vector + keyword) and enables graph search enhancement by default.

Can I fetch data directly from the underlying database?

Yes, the get_arangodb_node tool fetches a specific node from the underlying ArangoDB database by its key.

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