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PopNx MCPMCP servers for people who use AI · explained in plain words

Graphkeeper

by RudrenduPaulversion 0.1.5i★ 0iRuns on your computer
Registry nameio.github.RudrenduPaul/graphkeeper

How to install

What it does

Mines git history for file co-change patterns into a queryable knowledge graph via MCP.

  • Connects Runs on your computer
  • Account or key No key needed
  • Category Search & AI memory

Install

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

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "graphkeeper": {
          "command": "uvx",
          "args": [
            "graphkeeper-cli",
            "graphkeeper-mcp"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

    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

What you can do instead

A · Use an app that can connect Graphkeeper

  • Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)

B · Others in Search & AI memory that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Works with Claude Code, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  3. Paste this command and press Enter

    claude mcp add --scope user graphkeeper -- uvx graphkeeper-cli graphkeeper-mcp
  4. Type /mcp in Claude Code

    You should see Graphkeeper listed as connected

  5. Try it

    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)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. Try it

    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)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. Try it

    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.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Graphkeeper💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user graphkeeper -- uvx graphkeeper-cli graphkeeper-mcp

Claude 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.

At a glance

Downloads per weeki
20/wk
Licencei
Apache-2.0
Connection
Runs on your computer
Latest versioni
0.1.5
Published to registryi
Aug 11, 2026
Code last changedi
Oct 21, 2026
Maker
RudrenduPaul
Packages
pypi: graphkeeper-cli
Registry status
Active

Which apps can use it

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

All apps, with pros and cons →

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account RudrenduPaul, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 24 days ago

  • ✓ Pass

    Has a licence

    Uses Apache-2.0

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Discussion

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.

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User reviews

No reviews yet

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Compared with others in Search & AI memoryi

  • More stars than 0% of the other 6117 servers in this category
  • Published to the registry more recently than 27% of the other 6117 servers in this category
  • Basic checks equal to or better than 100% of the other 6117 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Graphkeeper safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed 24 days ago, and the latest version (0.1.5) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, OpenSEO

Others in the same category

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

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 1.2M/wk★ 64.8KUpdated 2 days ago

Computer or cloud

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 16.8K/wk★ 48.6KUpdated 28 days ago

Runs on your computer

OpenSEO

Keyword research, site audits, rank tracking and AI visibility for your AI agent.

by every-appWidely used★ 27.6KUpdated today

Runs in the cloud✓ everyapp.com

README from the maker

Open the README

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.

GraphKeeper

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.

Install

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

or run it once with no install

npx graphkeeper-cli build

PyPI -- Python CLI + library (genuine port, not a wrapper around the Node binary)

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.

Quickstart

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 } ] }

Features

  • Mines real commit history, not a static snapshot. 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.
  • `--max-files-per-commit` protects the signal. A single vendoring commit or mass reformat that touches 400 files would otherwise pollute every pair in that commit. The default cap (100 files) skips commits above that threshold so real coupling doesn't drown in noise.
  • Optional call-graph enrichment, never required. When graphify is on 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.
  • Every command has a `--json` mode. 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.
  • Two from-scratch implementations, one schema. The npm package (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.
  • Every subprocess call uses an argv array, never a shell string. Git and graphify are both invoked through 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.

CLI Reference

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.

OptionDescription
--jsonemit 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-graphifyskip 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.

OptionDescription
--jsonemit 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.

OptionDescription
--jsonemit 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.

MCP Server

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.

Library API Reference

Both packages expose a real importable surface, listed below. The command line is a thin wrapper over the same functions.

TypeScript / JavaScript (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); }

ExportSignature
buildbuild(targetPath: string, options?: BuildOptions): BuildResult
queryCoChangequeryCoChange(store: GraphKeeperStore, file: string, options?: { limit?: number }): CoChangeQueryResult
queryCallsqueryCalls(store: GraphKeeperStore, symbol: string): CallsQueryResult
findGraphifyNode`findGraphifyNode(nodes: GraphifyNode[], symbol: string): GraphifyNode \null`
normalizeFileArgnormalizeFileArg(store: GraphKeeperStore, file: string): string

| detectGraphify | `detectGr

Only the beginning is shown; read the rest in the repo