广告合作
MCP.so
登录

QDrant Loader MCP Server

@martin-papy

代码仓库主页

基本信息

分类

数据库

许可证

GPL-3.0

传输方式

stdio

作者

martin-papy

关于 QDrant Loader MCP Server

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server

#python#openai#developer-tools#knowledge-base#file-conversion#enterprise-ready#semantic-search#multi-project#cli-tool#document-processing#embbedings#git-integration#rag#jira-integration#cursor-ide#llm-integration#mcp-server#confluence-integration

QDrant Loader MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "qdrant-loader": {
      "command": "uv",
      "args": [
        "sync",
        "--all-packages",
        "--all-extras"
      ]
    }
  }
}

QDrant Loader MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is QDrant Loader?

QDrant Loader is a data ingestion and retrieval system that collects content from multiple sources, processes and vectorizes it, then provides intelligent search capabilities through a Model Context Protocol (MCP) server for AI-powered development workflows.

How to use QDrant Loader?

Install via pip install qdrant-loader qdrant-loader-mcp-server, initialize a workspace with qdrant-loader init, configure data sources in config.yaml and environment variables in .env, ingest data with qdrant-loader ingest, then start the MCP server using the command mcp-qdrant-loader --env /path/to/.env.

Key features of QDrant Loader

  • Multi-source connectors: Git, Confluence, JIRA, Public Docs, Local Files.
  • File conversion: PDF, Office docs, images, audio, EPUB, and more.
  • Smart chunking with hierarchical context and incremental updates.
  • Provider-agnostic LLM support: OpenAI, Azure OpenAI, Ollama, custom endpoints.
  • MCP protocol 2025-06-18 with dual transport (stdio + HTTP).
  • Advanced search tools: semantic, hierarchy-aware, similarity, clustering, knowledge graphs.

Use cases of QDrant Loader

  • AI-powered development with Cursor, Windsurf, and other MCP-compatible tools.
  • Knowledge base creation from technical documentation.
  • Intelligent code assistance with contextual information.
  • Enterprise content integration from multiple data sources.

常见问题

1

What does QDrant Loader integrate with?

QDrant Loader integrates with Qdrant vector database, MCP-compatible tools (Cursor, Windsurf, Claude Desktop), and multiple LLM providers (OpenAI, Azure OpenAI, Ollama, custom endpoints).

2

What are the dependencies and runtime requirements?

QDrant Loader requires Python, a running Qdrant instance, and an LLM provider endpoint. Environment variables for Qdrant URL, collection name, and LLM API key must be configured in a `.env` file.

3

Where does ingested data live?

Data is stored in a Qdrant vector database collection specified by the `QDRANT_COLLECTION_NAME` environment variable. Configuration files (`config.yaml`) define source connections and processing settings.

4

What transports and authentication does the MCP server support?

The MCP server supports stdio and HTTP transport (with SSE for streaming). Authentication is handled via environment variables (e.g., `OPENAI_API_KEY`) and configuration files, with no built-in auth for the HTTP transport mentioned.

5

How do I configure QDrant Loader for my project?

Create a `config.yaml` file with project sources (Git, Confluence, JIRA, etc.) and Qdrant/LLM settings, then define environment variables in a `.env` file for sensitive values. Use `qdrant-loader init --workspace .` to generate templates.

评论

数据库 分类下的更多 MCP 服务器

PostgreSQL Model Context Protocol (PG-MCP) Server

stuzero

540

Neon MCP Server

neondatabase

MCP server for interacting with Neon Management API and databases

617

NPILayer

NPILayer

Healthcare provider data for AI assistants, from the official CMS NPPES dataset (updated weekly). Look up any NPI (active or deactivated), search providers and organizations by name, city, state, ZIP, taxonomy code or pl

Postgres Mcp

crystaldba

Postgres MCP Pro provides configurable read/write access and performance analysis for you and your AI agents.

3.0K

MCP Server for MySQL based on NodeJS

benborla

A Model Context Protocol server that provides read-only access to MySQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.

1.9K
广告合作