pulsemcp scanned Safe content atomic mcp-remote

KuzuMem

KuzuMem-MCP provides distributed graph memory bank storage for coding agents using KuzuDB, built with TypeScript and featuring a comprehensive workflow state machine that enforces structured development phases (ANALYZE, BLUEPRINT, CONSTRUCT, VALIDATE, ROLLBACK). The implementation offers 12 unified tools for managing architectural decisions, component dependencies, file tracking, and context logging, with specialized agent modes for different development roles (architect, code, debug) and AI-powered memory optimization using OpenAI and Anthropic models. Features include graph algorithms for dependency analysis, cycle detection, full-text search across entities, and persistent memory across sessions, making it valuable for teams building complex software systems where maintaining architectural context and decision history across multiple AI agents is critical for long-term project success.

Cognium trust score

61%

Tier

Scanned

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: ai-ml
Source: PulseMCP
Repository: github.com/jakedismo/kuzumem-mcp
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve KuzuMem 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"