# Qdrant Knowledge Graph

> Use this tool when you need to efficiently manage and query complex knowledge graphs with semantic search capabilities. It solves problems related to intelligent information retrieval, relationship analysis, and context-aware AI interactions by providing a structured knowledge representation. The Qdrant Knowledge Graph takes in entities, relations, and observations as inputs and outputs relevant search results, making it ideal for applications requiring advanced knowledge retrieval and analysis.

Canonical page: https://skillsregistry.net/skills/delorenj-qdrant-knowledge-graph  
JSON: https://api.skillsregistry.net/v1/skills/delorenj-qdrant-knowledge-graph

## Description

This MCP server, developed by Jarad DeLorenzo, provides a knowledge graph implementation with semantic search capabilities powered by Qdrant vector database. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers tools for managing entities, relations, and observations in a graph structure. The implementation focuses on efficient storage and retrieval, using both file-based persistence and Qdrant for vector search. It's particularly useful for applications requiring structured knowledge representation with semantic querying, enabling use cases such as intelligent information retrieval, relationship analysis, and context-aware AI interactions without directly dealing with complex graph database operations.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/delorenj-qdrant-knowledge-graph)
- **Repository:** <https://github.com/delorenj/mcp-qdrant-memory>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "delorenj-qdrant-knowledge-graph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/delorenj-qdrant-knowledge-graph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/delorenj-qdrant-knowledge-graph/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt