Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Mines git history for file co-change patterns into a queryable knowledge graph via MCP.
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Python (uv)
SettingsDeveloperEdit Config
{
"mcpServers": {
"graphkeeper": {
"command": "uvx",
"args": [
"graphkeeper-cli",
"graphkeeper-mcp"
]
}
}
}Use Graphkeeper and tell me what you can do for me, then show me one thing✓ If Claude says it is using Graphkeeper or shows a Graphkeeper tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Graphkeeper yet
Graphkeeper runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect Graphkeeper
Works with Claude Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user graphkeeper -- uvx graphkeeper-cli graphkeeper-mcpYou should see Graphkeeper listed as connected
Use Graphkeeper and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Graphkeeper or shows a Graphkeeper tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Use Graphkeeper and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Graphkeeper or shows a Graphkeeper tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Use Graphkeeper and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Graphkeeper or shows a Graphkeeper tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
Claude Code
claude mcp add --scope user graphkeeper -- uvx graphkeeper-cli graphkeeper-mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"graphkeeper": {
"command": "uvx",
"args": [
"graphkeeper-cli",
"graphkeeper-mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"graphkeeper": {
"command": "uvx",
"args": [
"graphkeeper-cli",
"graphkeeper-mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"graphkeeper": {
"type": "stdio",
"command": "uvx",
"args": [
"graphkeeper-cli",
"graphkeeper-mcp"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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 14, 2026
The registry name was verified with the GitHub account RudrenduPaul, which owns the repo
Code last changed 24 days ago
Uses Apache-2.0
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
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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Posts here are written by users, not the PopNx team.
No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 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 24 days ago, and the latest version (0.1.5) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Context7, Codebase Memory, OpenSEO
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Keyword research, site audits, rank tracking and AI visibility for your AI agent.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Install • Quickstart • CLI Reference • Comparison • FAQ
A local-only CLI that mines your git log for which files actually change together, then hands an AI coding agent a queryable answer instead of a grep across the whole history.
npx graphkeeper-cli build
npx graphkeeper-cli query co-change src/git.ts
Files that historically change alongside "src/git.ts":
1 src/store.ts 1 src/types.ts 1 test/git.test.ts 1 test/store.test.ts 1 test/test-helpers.ts
(Real output from running GraphKeeper against its own repo, this early in its history. Co-change counts grow as a codebase accumulates more commits.)
No server, no account, no embeddings API. Every byte of output comes from git log on the repo you already have checked out.
GraphKeeper ships two independent, equally first-class packages. Pick whichever fits your toolchain, or install both. Both mine the same git log co-change signal and share one on-disk .graphkeeper/graph.json schema, so a store built by either can be read back by the other.
# npm -- JavaScript/TypeScript CLI + library
npm install -g graphkeeper-cli
npx graphkeeper-cli build
pip install graphkeeper-cli
The npm package requires Node.js 18 or later; the Python package requires Python 3.9 or later. Both require git on your PATH. The Python package's CLI entry point is also graphkeeper (e.g. graphkeeper build). See python/README.md for the Python-specific walkthrough, and CHANGELOG.md for each distribution's version history.
Run it against any git repo, including this one:
git clone https://github.com/RudrenduPaul/GraphKeeper.git
cd GraphKeeper graphkeeper build
GraphKeeper build complete: /path/to/GraphKeeper
Co-change graph: 4 commit(s) analyzed, 80 file pair(s) found graphify enrichment: skipped -- graphify was not found on PATH. Install it with uv tool install graphifyy (or pipx install graphifyy) for symbol/call-graph enrichment; GraphKeeper works fine without it, in co-change-only mode.
Wrote /path/to/GraphKeeper/.graphkeeper/graph.json
Now query it:
graphkeeper query co-change src/git.ts
Files that historically change alongside "src/git.ts":
1 src/store.ts 1 src/types.ts 1 test/git.test.ts 1 test/store.test.ts 1 test/test-helpers.ts
If graphify is installed (uv tool install graphifyy), graphkeeper build automatically shells out to its local, no-API-key graphify extract --code-only and merges its symbol/call-graph into the same store, unlocking call-graph queries:
graphkeeper query calls mineCoChange
mineCoChange() (src/git.ts)
Calls (2): --> assertIsGitRepo() --> runGit()
Called by (1): <-- build()
(Also real output, from running graphkeeper build against this repo with graphify installed.)
Without graphify installed, that same command explains exactly why the answer isn't available instead of crashing or returning an empty result:
Call-graph query for "mineCoChange" is not available.
graphify was not found on PATH. Install it with uv tool install graphifyy (or pipx install graphifyy) for symbol/call-graph enrichment; GraphKeeper works fine without it, in co-change-only mode.
Every command also supports --json for scripts and agents:
graphkeeper query co-change src/git.ts --json
{
"file": "src/git.ts", "results": [ { "file": "src/store.ts", "count": 1 }, { "file": "src/types.ts", "count": 1 }, { "file": "test/git.test.ts", "count": 1 }, { "file": "test/store.test.ts", "count": 1 }, { "file": "test/test-helpers.ts", "count": 1 } ] }
graphkeeper build runs git log --no-merges --name-only across the full history of the repo and counts every file pair that changed together in the same commit. There's no guessing at coupling from folder structure or import statements alone; the answer comes from how the codebase actually got edited over time.PATH, graphkeeper build shells out to its local graphify extract --code-only --no-cluster and merges the resulting symbol/call edges into the same store, unlocking graphkeeper query calls. Without graphify, GraphKeeper still works in co-change-only mode and says so plainly instead of failing.graphkeeper query co-change --json and the equivalents return machine-readable output, so an agent's calling code parses a real data structure instead of scraping text.src/, TypeScript) and the PyPI package (python/src/graphkeeper/, Python) are independent ports, not a wrapper of one around the other. Both read and write the same .graphkeeper/graph.json, so a store built with one CLI is queryable from the other.spawnSync/subprocess.run with a list of arguments, so a crafted commit message or filename in the repo being analyzed can't be interpreted as shell syntax.Usage: graphkeeper [options] [command]
Options: -V, --version output the version number -h, --help display help for command
Commands: build [options] [path] Mine git history for co-change and (if available) merge in graphify's symbol/call graph query Query the GraphKeeper store built by graphkeeper build help [command] display help for command
graphkeeper build [path]Walks path (default: current directory), runs git log --no-merges --name-only across the whole history, and counts how often each pair of files was touched in the same commit. Writes the result to .graphkeeper/graph.json.
| Option | Description |
|---|---|
--json | emit machine-readable JSON instead of human-readable text |
--max-files-per-commit | skip commits touching more than this many files (default: 100), keeping a single mass-reformat or vendoring commit from drowning out real co-change signal |
--no-graphify | skip graphify enrichment even if graphify is installed |
If graphify is detected on PATH, build also runs graphify extract --code-only --no-cluster (graphify's own headless, local, no-API-key AST extraction path) into a directory inside .graphkeeper/, and merges its nodes/edges into the same store. The build output always states plainly whether that enrichment was included, and why it was skipped if not.
graphkeeper query co-change Lists files that historically changed alongside , ranked by how many commits touched both.
| Option | Description |
|---|---|
--json | emit machine-readable JSON instead of human-readable text |
--limit | cap the number of results |
--graph | path to a specific graph.json (default: /.graphkeeper/graph.json) |
Exit code 0 when results are found, 1 when there's no co-change data for that file yet, 2 on a usage or filesystem error.
graphkeeper query calls Shows callers and callees of , using graphify's calls edges from the most recent build. Only meaningful when that build included graphify enrichment; if it didn't, this prints a clear explanation of why instead of a crash or a silent empty result.
| Option | Description |
|---|---|
--json | emit machine-readable JSON instead of human-readable text |
--graph | path to a specific graph.json (default: /.graphkeeper/graph.json) |
Exit code 0 when the symbol is found, 1 when it isn't (or enrichment wasn't available), 2 on a usage or filesystem error.
GraphKeeper ships a Model Context Protocol server so an AI coding agent (Claude, Cursor, or any MCP-compatible client) can mine co-change history and query the graph directly, without a human invoking the CLI by hand.
Install the extra:
pip install "graphkeeper-cli[mcp]"
Add it to your MCP client's config (for Claude Desktop, claude_desktop_config.json):
{
"mcpServers": { "graphkeeper": { "command": "uvx", "args": ["--from", "graphkeeper-cli", "graphkeeper-mcp"] } } }
The server exposes one tool, run, that shells out to the published graphkeeper-cli npm package (via npx graphkeeper-cli) with the given subcommand and arguments plus --json, and returns the parsed JSON result:
run(["build", "."])
run(["query", "co-change", "src/git.ts"])
Transport is stdio, so there is nothing to host: the MCP client spawns the server as a local subprocess. Source: python/src/graphkeeper/mcp_server.py.
Both packages expose a real importable surface, listed below. The command line is a thin wrapper over the same functions.
graphkeeper-cli on npm)import { build, queryCoChange } from "graphkeeper-cli";
const result = build("."); console.log(${result.store.commitsAnalyzed} commit(s) analyzed);
const coChange = queryCoChange(result.store, "src/git.ts"); for (const row of coChange.results) { console.log(row.count, row.file); }
| Export | Signature | |
|---|---|---|
build | build(targetPath: string, options?: BuildOptions): BuildResult | |
queryCoChange | queryCoChange(store: GraphKeeperStore, file: string, options?: { limit?: number }): CoChangeQueryResult | |
queryCalls | queryCalls(store: GraphKeeperStore, symbol: string): CallsQueryResult | |
findGraphifyNode | `findGraphifyNode(nodes: GraphifyNode[], symbol: string): GraphifyNode \ | null` |
normalizeFileArg | normalizeFileArg(store: GraphKeeperStore, file: string): string |
| detectGraphify | `detectGr