# Cognee

> Use this tool when you need to build complex AI assistants that integrate with multiple data sources, such as graph, vector, and relational databases, to create knowledge-aware systems. Cognee provides a boilerplate framework with configurable connections to various databases and easy integration with Claude AI, enabling reasoning over structured and unstructured data. It is ideal for applications like enterprise knowledge bases, research tools, or data analysis platforms that require access to heterogeneous data stores.

Canonical page: https://skillsregistry.net/skills/topoteretes-cognee-mcp  
JSON: https://api.skillsregistry.net/v1/skills/topoteretes-cognee-mcp

## Description

This MCP server, developed by topoteretes, provides a boilerplate framework for building AI assistants with integrated database and API capabilities. It leverages uv for dependency management and offers configurable connections to graph databases like Neo4j, vector databases like LanceDB, and relational databases. The server stands out by combining multiple database paradigms and offering easy integration with Claude AI. By connecting AI capabilities with diverse data sources, this implementation enables the creation of knowledge-aware AI systems that can reason over structured and unstructured data. It is particularly useful for building complex AI assistants that require access to heterogeneous data stores, such as enterprise knowledge bases, research tools, or data analysis platforms.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **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/topoteretes-cognee-mcp)
- **Repository:** <https://github.com/topoteretes/cognee/tree/HEAD/cognee-mcp>

## 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": "topoteretes-cognee-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/topoteretes-cognee-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/topoteretes-cognee-mcp/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
