smithery scanned Safe content atomic container

memory-graph

Use this tool when you need to visualize and analyze the memory usage of a Git repository over time, identifying memory-intensive commits and optimizing performance. It solves problems related to memory leaks, slow performance, and repository optimization, providing inputs such as Git repository data and outputs like visualized memory graphs. Ideal for use cases where repository maintenance and performance tuning are crucial, such as large-scale Git projects or frequent code updates.

Cognium trust score

48%

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

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: container
Category: other
Source: Smithery
Repository: github.com/gregorydickson/memory-graph
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve memory-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

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"