Kivgraph
Overview
Description from the maker (original English)
Cross-repository semantic code intelligence for AI coding agents, from a local code graph.
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: Developer tools
Install
Pick the AI app you use, then copy the settings.
Passed 2/2 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone
Download the maker’s installer
Download the maker’s .mcpb file
The .mcpb file comes straight from the maker; we do not change it
Double-click the file, then click Install in the Claude desktop app
Try it
Use Kivgraph and tell me what you can do for me, then show me one thing✓ If Claude says it is using Kivgraph or shows a Kivgraph 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 Kivgraph yet
Kivgraph 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 Kivgraph
- No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone
B · Others in Developer tools that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
- Sentry✓ ChatGPT
- Front-End Checklist✓ ChatGPT
- Compiler Explorer✓ ChatGPT
Claude Code cannot connect Kivgraph yet
The maker only provides an installer for the Claude desktop app
What you can do instead
A · Use an app that can connect Kivgraph
- No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone
Cursor cannot connect Kivgraph yet
The maker only provides an installer for the Claude desktop app
What you can do instead
A · Use an app that can connect Kivgraph
- No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone
VS Code cannot connect Kivgraph yet
The maker only provides an installer for the Claude desktop app
What you can do instead
A · Use an app that can connect Kivgraph
- No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone
At a glance
- Connection
- Runs on your computer
- Transport
- stdio
- Latest versioni
- 0.9.10
- Categoryi
- Developer tools
- Published to registryi
- Sep 5, 2026
- Code last changedi
- Nov 9, 2026
- Maker
- Luqueee
- Packages
mcpb: https://github.com/Luqueee/kivgraph/releases/download/v0.9.1mcpb: https://github.com/Luqueee/kivgraph/releases/download/v0.9.1mcpb: https://github.com/Luqueee/kivgraph/releases/download/v0.9.1- Website
- kivgraph.dev
- 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 StudioVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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 11, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Luqueee, which owns the repo
- ✓ Pass
Still maintained
Code last changed 2 days ago
- … 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
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.
User reviews
No reviews yet
Compared with others in Developer toolsi
- More stars than 94% of the other 5752 servers in this category
- Published to the registry more recently than 34% of the other 5752 servers in this category
- Basic checks equal to or better than 100% of the other 5752 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 2 of 2 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 2 days ago, 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: REA, Netdata, Front-End Checklist
Alternatives
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
Netdata
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Front-End Checklist
Review frontend code and live pages against 386 quality-gated web development rules.
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
grepplus 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
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 question | the tool |
|---|---|
| who calls this, what references this | find_references |
| who implements a type or method | find_implementations |
| what breaks if I change it | get_blast_radius |
| what does this reach outward | trace_dependencies |
| who uses it from another repository | find_cross_repo_consumers |
| where is it declared | find_symbol |
| I don't know what it is called, what files to open | find_by_intent |
| what is declared in this package | get_file_outline |
| give me the code of these symbols | get_source |
| everything about this one symbol | get_symbol |
| what is indexed, and is the graph current | list_repositories, graph_status |
| how is an asynchronous index progressing | get_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, neverEXACT. 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_projectandstart_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/arm64andwindows/amd64. - Viewer:
kivgraph uiserves 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