Knowledge Graph
This knowledge graph MCP server, developed by Anthropic, enables persistent memory for AI assistants through a local graph database. It provides tools for creating, querying, and manipulating entities and relationships, allowing assistants to build and maintain structured knowledge about users and contexts across conversations. The implementation uses TypeScript and file-based storage, with a customizable memory path for flexibility. It's designed for enhancing AI personalization and context retention in applications like chatbots, virtual assistants, or any scenario requiring long-term information persistence and retrieval in natural language interactions.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/shaneholloman/mcp-knowledge-graph
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Knowledge Graph 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.