Cognee
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Cognee from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.