Koragraph

Name: Koragraph
Author: Koragraph

by Koragraphversion 0.1.4i★ –iRuns on your computer

Registry namein.koragraph/koragraph

Install

Overview

Description from the maker (original English)

Local multi-repo code graph over MCP. Blast radius, call graphs, and memory anchored to code.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "koragraph": {
      "command": "npx",
      "args": [
        "-y",
        "koragraphmcp",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add koragraph -- npx -y koragraphmcp mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "koragraph": {
      "command": "npx",
      "args": [
        "-y",
        "koragraphmcp",
        "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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "koragraph": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "koragraphmcp",
        "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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain koragraph.in (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– 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

Compared with others in Search & AI memoryi

More stars than 0% of the other 7275 servers in this category
Published to the registry more recently than 38% of the other 7275 servers in this category
Basic checks equal to or better than 100% of the other 7275 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 Koragraph safe?

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.

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 –, and the latest version (0.1.4) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

Context7

by upstash

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

Computer or cloud★ 64,224MITUpdated yesterday

Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

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.

The ultimate context layer for your AI coding agent.

Completely free. Runs entirely on your machine.

A local knowledge graph of every repo you point it at, plus a memory layer that knows when the code it remembers has changed.

Install

npm install -g koragraphmcp

koragraph ingest /path/to/repo # point it at as many repos as you like claude mcp add koragraph -s user -- koragraph mcp

koragraph doctor checks the whole chain and prints the exact line for any editor.

Two ways to use it from here: your agent calls the tools over MCP, or you (or a script, or a Claude Code hook) run them straight from the shell, for example koragraph explore "how does checkout work" or koragraph blast src/pay.js. Same graph either way.

Then run KORAINIT in your editor

This is the step that lights up the memory layer, so don't skip it. In your coding agent (Claude Code, Cursor, Windsurf, whatever you use), tell it:

### "Read KORAINIT.md and follow it."

It imports your existing CLAUDE.md / AGENTS.md into koragraph's memory, anchored to the code each rule is about, flags any rule that points at code that's already gone, and finishes wiring koragraph into the session. Run it once per project.

Prefer zero setup? Hand the whole thing to your agent instead. Paste this from the repo you want indexed, and it installs, indexes, wires itself in, and runs KORAINIT for you:

Install koragraph and set it up for this repo, then report back:

npm install -g koragraphmcp
koragraph ingest .
koragraph doctor, then run the claude mcp add … line it prints (or wire koragraph mcp into my editor's MCP config).
Find KORAINIT.md in the installed package (npm root -g, then koragraphmcp/KORAINIT.md) and follow it: it imports my existing CLAUDE.md / AGENTS.md into memory, verified against the code.

Report: nodes/edges indexed, whether the MCP connected, and KORAINIT's summary.

Works with

Adoption is highest on Claude Code: its hooks let koragraph put the graph in front of the agent on every turn, so it actually gets used instead of falling back to grep. Other editors reach koragraph over MCP, where the agent decides when to call it.

One map of everything you've built

Koragraph turns every repo you point it at into one live graph: a resolved structure, with an edge only where there really is one.

Every service, file, endpoint, and table.
The real calls between them, resolved against the syntax tree, not guessed by name.
The edges that cross a repo boundary, where single-repo tools go quiet.

koragraph serve : code (cool nodes) and its memory (gold diamonds), one local page.

A memory that knows when the code changed

Everything your agent learns is saved locally, anchored to the exact declaration, not a line number. Rename the code and the fact follows; delete it and the fact retires. No CLAUDE.md to maintain, and it survives every upgrade.

Failures and their fixes. The fix surfaces before you hit the same wall twice.
Hazards, rules, corrections. Stated once, honoured every session after.
The "let's push this to Wednesday." Deferrals and half-finished intent, parked against the code and surfaced the moment you're back.

Measurably the most accurate, scored by the compilers

Every graph is graded by an independent compiler front-end (CPython ast, go/parser, Roslyn, syn, tsc, Ripper, php-ast, ctags, swiftc), never the tool under test. koragraph wins 34 of 39 language×plane cells, and leads precision on all 39.

Call-graph recall, the hardest plane:

Language	koragraph	CodeGraph	GitNexus	Graphify
JavaScript	87.6	39.4	41.9	45.1
TypeScript	70.6	55.2	50.2	44.2
Python	86.1	85.1	54.6	53.3
Go	89.1	85.0	63.8	65.3
Java	86.0	73.1	68.6	53.5
C#	83.6	79.8	50.5	54.4
PHP	88.9	88.0	77.1	31.7
Ruby	51.5	41.3	28.7	40.8
Rust	68.7	76.5	48.9	47.6

Reproduces from test/benchmark: pinned corpus, pinned competitor versions, pinned oracles. Full breakdown in test/benchmark/REPORT.md.

The tools

Nine tools, reachable two ways: as MCP tools in your editor, and as CLI commands in your shell. On Claude Code a hook also calls the CLI to push the relevant slice into context on every turn, so the graph gets used whether or not the agent thinks to ask. Every tool returns file:line, never pasted source. Exactly one writes.

Tool	Shell	What it's for
`blast_radius`	`koragraph blast`	Run before editing. Everything that depends on this, across repos, and what has no test coverage.
`explore`	`koragraph explore " "`	Ranked declarations, source, callers, callees, in one call.
`search_code`	`koragraph search`	Find a name in the graph, not raw text.
`neighbours`	`koragraph neighbours`	Callers and callees of one symbol.
`changes_with`	`koragraph cochange`	What has historically shipped together with a symbol.
`file_symbols`	`koragraph symbols`	Declarations in one file.
`overview`	`koragraph overview`	Orient on turn one, across every repo.
`recall`	`koragraph recall`	A past failure and its fix, a hazard, an open loop.
`remember`	`koragraph remember " "`	Save a durable, code-anchored fact. The only writer.

Every query verb takes --format compact|json|paths and --budget , so a result can be trimmed before it ever enters an agent's context. Plus the operational CLI: ingest, serve, status, doctor, diff, trace, hooks, practice, report.

Languages

c · c++ · c# · go · java · javascript · php · python · ruby · rust · swift · typescript / tsx, fully resolved, tree-sitter throughout. Plus experimental kotlin · scala · elixir · solidity · vue · zig · objective-c · ocaml · rescript.

License

BUSL-1.1. Free to use, including at work. Converts to Apache-2.0 on the change date.

Built by Akhil Katakam · Ethan Faleiro · founders@koragraph.in

Koragraph

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

The ultimate context layer for your AI coding agent.

Install

Then run KORAINIT in your editor

One map of everything you've built

A memory that knows when the code changed

Measurably the most accurate, scored by the compilers

The tools

Languages

License