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Kivgraph

by Luqueeeversion 0.9.10i★ –iRuns on your computer
Registry nameio.github.Luqueee/kivgraph

Install

Overview

Description from the maker (original English)

Cross-repository semantic code intelligence for AI coding agents, from a local code graph.

PopNx MCP’s three pillars

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

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: Other

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.

Which app do you use?

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

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

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.

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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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 6, 2026

  • ✓ Pass

    Maker matches the repo

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

  • … 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 Otheri

  • More stars than 0% of the other 32476 servers in this category
  • Published to the registry more recently than 33% of the other 32476 servers in this category
  • Basic checks equal to or better than 100% of the other 32476 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 Kivgraph 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 (0.9.10) 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 MCPB on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, zanadir

Alternatives

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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.

Kivgraph

[!NOTE]

Kivgraph began as a research project. It explored whether a local semantic

code graph could reduce the amount of context coding agents need to inspect.

The resulting tool remains useful for structured code navigation,

cross-repository relationships, and impact analysis. However, the research

**did not demonstrate a reliable net token saving over long, end-to-end agent

conversations**. While some isolated queries can use substantially fewer

tokens than grep plus file reads, those savings did not consistently

translate into lower token usage across realistic long-running agent

workflows.

The benchmark results and their limitations are preserved in

benchmarks/, including the

end-to-end agent benchmark.

Kivgraph is a local cross-repository code intelligence MCP server for AI coding agents. It builds a canonical semantic code graph across multiple registered repositories and answers questions about symbols, repository relationships, callers, dependencies and change impact.

Watch the Kivgraph UI demo video

kivgraph ui — read-only 3D view of the published graph.

It indexes a corpus once and serves an immutable graph: the edges are resolved by go/types, the TypeScript checker and rust-analyzer, not by matching names. That is the difference from a search tool, and it is what makes an empty answer worth something — an empty reference list means nobody calls it, not that nothing was found, and grep cannot tell those apart.

Kivgraph is focused on semantic code relationships, not automatic discovery of every HTTP, gRPC, Kafka or database runtime flow between services.

Documentation

Read the Kivgraph user documentation for installation, MCP clients, code intelligence, repository relationships and workspace code graphs. The same pages are the source of landing/src/content/docs in this checkout, which is what a reader on a fork or without a network still has.

What each tool answers

the questionthe tool
who calls this, what references thisfind_references
who implements a type or methodfind_implementations
what breaks if I change itget_blast_radius
what does this reach outwardtrace_dependencies
who uses it from another repositoryfind_cross_repo_consumers
where is it declaredfind_symbol
I don't know what it is called, what files to openfind_by_intent
what is declared in this packageget_file_outline
give me the code of these symbolsget_source
everything about this one symbolget_symbol
what is indexed, and is the graph currentlist_repositories, graph_status
how is an asynchronous index progressingget_index_status

Thirteen read-only tools, plus two consent-gated mutations (index_project and start_index_project) that a client has to authorize before either can register a repository or publish a generation.

Every row that names a symbol carries its repository, path, qualified name and line range, so it can be opened without a second call, and every tool accepts that triple in place of an opaque key.

Where it loses. A rare name in one small repository is cheaper with grep, and indexing a small file costs more than reading it. It wins on common names, on transitive impact, on consumers in another repository, and on proving an absence. Measured over 29 questions against a 37-repository corpus (benchmarks/graph-tools-comparison/results-all.json, commit 954b9eb, tokenizer o200k_base): 35,961 tokens for Kivgraph against 267,980 for grep plus reading, both exact on 28 of the 29, median 5.95x per question in Kivgraph's favour. grep is cheaper on 5 of those 29, all of them at full recall on both sides: T1_go_trivial asks for a name the corpus declares twice, and there grep costs 0.53x what Kivgraph does.

A second harness, benchmarks/mcp-token-cost, compares against the host's own tool output captured verbatim, but it runs on Kivgraph's own single repository of 13,222 symbols: 7.64x on the answers themselves and 1.60x over a whole session, against a 2.41x floor set by the source bodies both arms pay for.

Status

Released and in use. kivgraph version reports the published release; the backlog and the acceptance gate of every phase are in TASKS.md.

  • Languages: Go, TypeScript, Rust, Python and Dart. Python uses the bundled AST worker in fallback mode; those inferred references are CANDIDATE, never EXACT. Exact Python mode uses the bundled Pyright LSP adapter with an installed Pyright/BasedPyright server. Dart uses the Dart Analysis Server supplied by the Dart or Flutter SDK.
  • Semantic dependencies: Python and Dart imports can publish a package dependency when exactly one registered provider owns the requested package; symbol-level cross-repository edges require an explicit provider identity.
  • Surface: thirteen read-only tools over STDIO, plus two consent-gated mutations (index_project and start_index_project). The contract is docs/protocol/mcp-surface-v3.md.
  • Storage: LadybugDB is canonical; queries are served from an immutable HotSnapshot published atomically, never from the database.
  • Platforms: linux/amd64, darwin/arm64 and windows/amd64.
  • Viewer: kivgraph ui serves a read-only 3D view of the published graph.

Installation

Install the MCP with one script

The installer detects the platform, downloads the latest published MCP release for it, verifies both the release archive and the bundle checksums, and installs it without requiring Go or pnpm. The release contains the Go server, the pinned LadybugDB library, the TypeScript worker, the bundled Python AST worker, the pinned rust-analyzer, the grammar manifest and the web viewer, whose assets are 2.3 MB of the bundle. scripts/build-bundle.sh --mcp-only produces a bundle without the viewer for anyone who wants one. --slim goes further for anyone packaging an .mcpb: it leaves out the pinned rust-analyzer and every symbol a debugger would read, which is 46.3 MB packaged against 24.9 MB. It downloads nothing later, so that bundle reads Rust only where the machine already has an analyzer on its PATH.

Published bundles: Linux amd64, macOS arm64 and Windows amd64.

Runtime requirements: Bash on Linux and macOS or PowerShell 5.1 or later on Windows, Node.js 22 or later, Python 3.10 or later when indexing Python, and on the POSIX platforms curl, tar, and sha256sum or shasum. The bundle carries its own rust-analyzer; indexing Rust repositories additionally needs cargo on the PATH, and indexing Dart needs the Dart or Flutter SDK. On Windows the installer also installs the Visual C++ redistributable, without which kivgraph.exe does not start.

On macOS the binaries are not notarized. A release downloaded with curl is not quarantined and runs; a copy downloaded with a browser needs xattr -dr com.apple.quarantine. See docs/development/macos.md.

Install the latest release in one command. On Linux and macOS the same line covers both, because the installer reads uname and picks its own archive:

curl -fsSL https://kivgraph.dev/install.sh | bash

On Windows, where install.sh cannot run because there is no POSIX shell:

irm https://kivgraph.dev/install.ps1 | iex

install.ps1 is a second implementation of the same pre-extraction checks, and internal/release/install_parity_test.go fails when either script grows a check the other lacks. Piping it into Invoke-Expression turns its #Requires -Version 5.1 into a comment; download it to a file and run it as one to keep that guard.

From a checkout, either installer can be run directly:

./scripts/install.sh

To install a specific release instead of the latest one:

KIVGRAPH_VERSION=v0.9.10 ./scripts/install.sh

The script installs the bundle in ~/.local/opt/kivgraph and puts launchers in ~/.local/bin; on Windows it is %LOCALAPPDATA%\Programs\kivgraph and %LOCALAPPDATA%\Programs\kivgraph-bin. It never modifies a registered repository, creates an index, or replaces configuration files. To use a different location, set KIVGRAPH_INSTALL_ROOT and KIVGRAPH_BIN_DIR.

Add the launcher directory to the current shell and verify both runtimes:

export PATH="$HOME/.local/bin:$PATH"

kivgraph version kivgraph-ts-worker <<'EOF' hello EOF

Check for a newer release or update the installed bundle:

kivgraph update --check

kivgraph update

Bundle replacement is atomic, preserves the configuration and graph state, verifies the release and bundle checksums, and replaces the installed bundle. The post-install runtime refresh may partially complete, fail, and make the command exit non-zero. It also restarts an installed supervised daemon and refreshes Kivgraph-managed user hooks, skills and MCP registrations. A stale supervisor returns an error and is not restarted. Missing, foreign and project-scoped integrations are left alone. Client-owned serve and ui processes still need a restart, or --stop, to use the new binary.

Development builds use a separate prerelease channel. Install one explicitly, then select that channel for later checks:

release=vX.Y.Z-dev.N

curl -fsSL \ "https://github.com/Luqueee/kivgraph/releases/download/$release/install.sh" | KIVGRAPH_VERSION="$release" bash kivgraph update --channel dev

For a prerelease binary, omitting --channel already follows dev; stable installations continue to follow the stable channel. KIVGRAPH_UPDATE_CHANNEL can be used instead of the flag, including for the interactive update notice.

To remove the installed bundle and launchers without deleting configuration, repository registrations or graph state:

uninstall_url=https://github.com/Luqueee/kivgraph/releases/latest/download/uninstall.sh

curl -fsSL "$uninstall_url" -o /tmp/kivgraph-uninstall.sh bash /tmp/kivgraph-uninstall.sh

Use bash /tmp/kivgraph-uninstall.sh --yes for a non-interactive removal. Windows users can run the corresponding uninstall.ps1 with PowerShell.

When kivgraph is invoked without a command from an interactive terminal, it checks for a newer release with an 800 ms timeout and a 24-hour cache in the platform cache directory ($XDG_CACHE_HOME on Linux and $HOME/Library/Caches on macOS), under kivgraph/update-check.json. The optional check never blocks the command when the network is unavailable.

Interactive command output uses semantic ANSI colors when the destination is a terminal. Set NO_COLOR or redirect output to keep it plain.

Configure Kivgraph and its coding agents

After an interactive release installation, the installer asks whether it should run this same guided setup. Run it later, or run it directly from a checkout:

kivgraph configure

configure opens one selector for the coding agents detected on this machine and installs each user-scoped surface that the selected agent supports. It also adds user-level Kivgraph instructions for every selected agent. It initializes the empty Kivgraph configuration when needed, but it does not register a repository or run an index. Repeat --target TARGET for scripted setup; omit it to open the selector.

Use ↑/↓ (or j/k) to move, space to toggle an agent, a to select all, n to select none, Enter to confirm, and q or Esc to cancel. The daemon is offe

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

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