Understanding Graph MCP server
Persistent understanding via workflow prompts, typed updates, graph-native code, and supersession.
1 stars74 downloads/wk
Reviews
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If you have run it, two minutes of your experience saves the next person an afternoon.
Understanding Graph tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.10 · 2026-10-31 · same rubric, same numbers if you re-run it
- Code scan7 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 2 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
How Understanding Graph compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 94/100
- higher than 96% of 48,255 servers
- GitHub stars
- 1
- more than 65% of 28,688 servers
- Downloads a week
- 74
- more than 55% of 12,191 servers with a package
Release history: 3 versions in the registry since 2026-08-25, latest 2026-10-29, typically one every 51 days.
Install Understanding Graph in Claude Code, Cursor or VS Code
Runs npx -y understanding-graph on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add understanding-graph -- npx -y understanding-graph
What the publisher says
From the Understanding Graph repository's README, as published. We do not edit it. Read it on GitHub
Understanding Graph: A Persistent Medium for Recursive Understanding
A persistent medium for recursive, inspectable understanding.
Understanding Graph is an MCP server that gives AI agents structured, persistent memory. Unlike knowledge bases that store facts, it stores externally useful understanding updates -- tensions, surprises, decisions, evidence, and how beliefs evolved over time. It does not require private chain-of-thought. Multiple agents can coordinate through the graph itself: each agent reads what others have written, builds on it, and leaves inspectable traces for the next -- stigmergy.
Why Understanding Graph?
Core insight: AI agents don't just need to remember facts -- they need the usable before state, pivoting evidence, updated conclusion, and remaining uncertainty. That lets later work test or revise a conclusion without reconstructing hidden deliberation.
Quick Start
Requires Node.js 22 or newer.
Recommended: use your Codex or Claude subscription
Run the initializer in the directory where you want the graph-backed work to live:
cd your-project
npx -y understanding-graph@0.1.31 initIt creates project-scoped MCP configuration for both Codex and Claude Code, installs the same fluid-understanding contract in AGENTS.md and CLAUDE.md, installs a project-scoped reading-mode skill for both clients, and adds the local projects/ path to ignore rules without installing any starter graph. Open either client, sign in with your normal ChatGPT or Claude subscription, and ask for the actual research, writing, coding, or decision task. The agent creates a descriptively named graph when real work begins. You do not need to say “use the graph.” The model runs in the subscription client; Understanding Graph itself makes no model API calls.
For a fresh chronological reading, give the agent a file path and ask it to turn on reader mode. It stages the source without returning or sampling its body, then encounters only the next ordered passage through source_read and may attach ordinary, passage-grounded understanding before continuing. Codex also exposes $reading-mode; Claude Code exposes /reading-mode. Text pasted directly into chat has already been encountered, so use a file path when a genuinely fresh reading matters.
Codex is available through eligible ChatGPT plans, and Claude Code can use Claude Pro or Max. Their normal plan limits still apply.
Installable plugin (workflow skill + MCP server)
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Understanding Graph: common questions
- Is Understanding Graph MCP server safe?
- Yes, by our scan: it is graded A (94/100). Read the Understanding Graph safety report
- How do I install Understanding Graph?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Understanding Graph need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Understanding Graph maintained?
- The last commit was 6 days ago (2026-10-29). The latest release is v0.2.1.
- What can I use instead of Understanding Graph?
- Servers from other publishers that do the same job: State Memory MCP server.
- How does Understanding Graph compare with other MCP servers?
- safety score 94/100 (higher than 96% of 48,255 servers); github stars 1 (more than 65% of 28,688 servers); downloads a week 74 (more than 55% of 12,191 servers with a package). Full comparison.
Alternatives to Understanding Graph
Same job from other publishers: the closest match first, then the best rated.
State Memory MCPPersistent workflow graph server tracking tasks, decisions, spatial entities, and blockers.not reviewedEstablishedA