Graphiti
The Graphiti MCP server provides AI assistants with access to a temporal knowledge graph system for storing, retrieving, and reasoning about relationships between entities. Built by Zep Software, this implementation uses Neo4j as its database backend and supports various LLM providers including OpenAI, Anthropic, and Google. The server exposes tools for adding episodes (conversations or documents), extracting entities and relationships, searching the graph with semantic and keyword matching, and retrieving facts with temporal context. It's particularly valuable for applications requiring persistent memory across conversations, such as tracking user preferences, documenting procedures, or maintaining factual relationships that change over time.
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 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · 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
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Graphiti 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.