# FalkorDB-MCPServer

> FalkorDB-MCPServer — seckatie-falkordb-mcpserver. Use this tool when you need to integrate AI models with graph databases or query complex data using natural language. FalkorDB-MCPServer enables seamless connections between AI models and FalkorDB graph databases through the Model Context Protocol, allowing for efficient data retrieval and analysis. It accepts natural language queries as input and returns relevant graph data as output, ideal for applications requiring intuitive and flexible data access.

Canonical page: https://skillsregistry.net/skills/seckatie-falkordb-mcpserver  
JSON: https://api.skillsregistry.net/v1/skills/seckatie-falkordb-mcpserver

## Description

🚀 Connect AI models to FalkorDB graph databases through the Model Context Protocol - Query graphs with natural language via your MCP Client

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/SecKatie/FalkorDB-MCPServer)

## 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": "seckatie-falkordb-mcpserver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/seckatie-falkordb-mcpserver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/seckatie-falkordb-mcpserver/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