Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Persistent understanding via workflow prompts, typed updates, graph-native code, and supersession.
These three are never merged into one score: opinions, measurements and popularity are different things.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"understanding-graph": {
"command": "npx",
"args": [
"-y",
"understanding-graph",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add understanding-graph -- npx -y understanding-graph mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"understanding-graph": {
"command": "npx",
"args": [
"-y",
"understanding-graph",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"understanding-graph": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"understanding-graph",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account emergent-wisdom, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.2.1) reached the registry 8 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Georgia MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
An MCP server for Georgian public data, read from the organizations that publish it.
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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.
| Traditional Memory | Understanding Graph |
|---|---|
| Stores facts | Stores authored understanding updates |
| "User prefers dark mode" | "User switched to dark mode after eye strain -- tension between aesthetics and comfort resolved toward comfort" |
| Flat retrieval | Typed, revisable interpretation |
| Loses the interpretive middle | Preserves recorded rationale and revision |
| Single agent | Multi-agent coordination through shared 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.
Requires Node.js 22 or newer.
Run the initializer in the directory where you want the graph-backed work to live:
cd your-project
npx -y understanding-graph@0.2.1 init
It 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.
The package ships both .codex-plugin and .claude-plugin manifests. The plugin combines the MCP capabilities with an understanding-work skill. While the mode is active, material, communicable understanding that could matter to the work or a future inquiry develops in the graph. The graph rolls a small state-dependent set of concrete next moves; the model judges their weights against the user task and freely chooses, combines, changes, or rejects them. The initializer above provides the same contract without waiting for a plugin-directory listing.
For Claude Code, the existing marketplace flow is:
# One-time: add the Emergent Wisdom marketplace
claude plugin marketplace add emergent-wisdom/marketplace
claude plugin install understanding-graph
For local development:
claude --plugin-dir /path/to/understanding-graph
This gives you the MCP server and these skills:
| Skill | Invoke | What it teaches |
|---|---|---|
| understanding-work | *(auto-loaded)* | Fluid graph-mediated understanding with weighted, model-chosen provocations |
| orient | /understanding-graph:orient | Read graph state at conversation start |
| quality-check | /understanding-graph:quality-check | Score, analyze, thermostat |
| reading-mode | /understanding-graph:reading-mode | Deep source reading with source_read |
| serendipity | /understanding-graph:serendipity | Inject novelty via grounded/pure serendipity |
| web-ui | /understanding-graph:web-ui | Launch 3D visualization at :3030 |
| graph-workflow | *(auto-loaded)* | Shared graph laws plus task-to-workflow routing |
| code-work | *(auto-loaded)* | Graph-native code nodes, generation, and executable evidence |
| collaborative-code | *(auto-loaded)* | Code-subtree ownership, handoffs, locks, and integration evidence |
| creative-work | *(auto-loaded)* | Books, prose, scripts, and editorial revision |
The raw MCP server works with any compatible client, but the bundled skill or generated project instructions are the recommended experience. Tool schemas alone do not reliably activate a multi-step understanding workflow.
This creates:
.codex/config.toml -- Codex MCP configuration.mcp.json -- Claude Code project MCP configurationAGENTS.md and CLAUDE.md -- the same canonical understanding workflow.agents/skills/reading-mode/SKILL.md -- explicit Codex reader workflow.claude/skills/reading-mode/SKILL.md -- explicit Claude Code reader workflow.gitignore entry for projects/ -- keeps graph data local; no starter project is createdEvery session opened in the directory shares the same project root. Once a named graph is selected, agents working there share it. Use additional agents only when the work has real independent seams.
Version 0.2.1 changes the authoring tool names. Existing graph data, including previously recorded notes, remains usable; this release requires no database schema migration.
graph_add_concept with graph_add_understanding; its parameters stay the same.graph_note with graph_add_understanding and a separate graph_connect operation in the same graph_batch. Map testimony to understanding and about to the connection's to target. Supply explicit title, trigger, and why values; these are required on the new node.attend to the next question or action when the node should remain open attention. Automatic resurfacing requires a learned_from edge to a visible document node; a provenance link alone does not enable it.For example, pass this to graph_batch, replacing SOURCE_NODE_ID with the existing passage or artifact node that occasioned the understanding:
{
"commit_message": "Record the unresolved retry assumption", "agent_name": "researcher", "operations": [ { "tool": "graph_add_understanding", "params": { "title": "Retries may synchronize clients", "trigger": "hypothesis", "understanding": "A fixed retry delay may align clients after a shared failure.", "why": "Questions whether the proposed recovery policy reduces overload", "attend": "Test fixed delays against jitter before choosing the policy." } }, { "tool": "graph_connect", "params": { "from": "$0.id", "to": "SOURCE_NODE_ID", "type": "learned_from", "why": "The hypothesis arose while reading this recovery design" } } ] }
Run npx -y understanding-graph@0.2.1 init in each initialized project to update managed MCP configuration and generated workflow guidance, then reconnect the MCP client so it loads the new tool catalog. Update custom configuration or instructions that the initializer preserves yourself.
If a client cannot install plugins or run the initializer, connect the MCP server directly:
claude mcp add ug -- npx -y understanding-graph@0.2.1 mcp
MCP initialization still supplies a concise graph-use contract, but client support for server instructions varies. For consistent behavior, also provide the bundled understanding-work skill or its generated project instructions.
Per-client setup guides: Claude Code · Claude Desktop · Cursor · mcporter
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": { "understanding-graph": { "command": "npx", "args": ["-y", "understanding-graph@0.2.1", "mcp"], "env": { "PROJECT_DIR": "/path/to/your/projects", "UG_SOURCE_ROOT": "/path/to/your/source-project" } } } }
UG_SOURCE_ROOT limits file-based source loading to that directory. The project initializer sets it to the project root automatically.
Add to your MCP config:
{
"mcpServers": { "understanding-graph": { "command": "npx", "args": ["-y", "understanding-graph@0.2.1", "mcp"], "env": { "PROJECT_DIR": "/path/to/your/projects" } } } }
The root npm package includes the built frontend and depends on the web server, so the published package can launch the UI directly:
PROJECT_DIR=/path/to/your/projects npx -y understanding-graph@0.2.1 start
Run independent sidecars by giving each process its own port and project-store root. The roots may be sibling directories on the same volume:
PORT=3101 PROJECT_DIR=/srv/undergraph/worker-1 npx -y understanding-graph@0.2.1 start
PORT=3102 PROJECT_DIR=/srv/undergraph/worker-2 npx -y understanding-graph@0.2.1 start
Use absolute paths in deployments. Sharing the installed package and its read-only frontend is safe; do not point independent sidecars at the same PROJECT_DIR.
The server binds to loopback by default. To run a worker on another host, explicitly set HOST and a private worker token; non-loopback startup fails closed without both:
HOST=0.0.0.0 PORT=3101 \
UG_WORKER_TOKEN=replace-with-a-long-random-secret \ PROJECT_DIR=/srv/undergraph/worker-1 \ npx -y understanding-graph@0.2.1 start
The trusted caller must send Authorization: Bearer on every /api or /admin request. Put remote traffic behind TLS or a private authenticated network.
To develop the UI from a checkout instead:
git clone https://github.com/emergent-wisdom/understanding-graph.git
cd understanding-graph npm install npm run build npm run start:web
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