Ermöglicht Coding Agents präzise Call Graphs und Impact-Analysen, indem Code-Beziehungen mithilfe echter Language Compiler aufgelöst werden.
Auch bekannt als coffeecoproject/layermap
- Stars
- 9
- Tools
- —
- Downloads, 30 Tage
- —
- Neueste Version
- 0.1.43
- Letzter Commit
- 13. Nov. 2026
- Lizenz
- Apache-2.0
Was ist LayerMap MCP?
LayerMap ist ein MCP server. Ermöglicht Coding Agents präzise Call Graphs und Impact-Analysen, indem Code-Beziehungen mithilfe echter Language Compiler aufgelöst werden.
Zusammenfassung generiert aus dem README des Projekts
Über LayerMap MCP server
LayerMap liefert Coding Agents hochpräzise Call Graphs und Impact-Analysen, indem es echte Language Compiler und Type Checker verwendet, anstatt auf name-based Guessing zu setzen. Es ist für Entwickler konzipiert, die MCP Clients wie Claude Code, Codex, CodeBuddy Code, Pi und DeepSeek Harness nutzen. Durch das Auflösen von Beziehungen mit derselben Logik, die auch ein Compiler verwendet, werden Aufrufe über Interfaces, Base Classes, Templates und Decorators für TypeScript, JavaScript, Go, Python und Java präzise nachverfolgt.
Das Tool läuft lokal auf deiner Maschine und sendet keine Daten extern. Es erlaubt Agents, Caller bis zu acht Ebenen tief zu verfolgen, was in einer einzigen Anfrage bis hin zu HTTP-Routes, Handlern, Jobs und Commands reicht. Diese Fähigkeit hilft Agents zu verstehen, was eine Code-Änderung exakt beeinflussen wird – einschließlich verwandter Tests und Entry Points. Das kann die Kosten und die Anzahl der Requests, die zum Navigieren in einer komplexen Codebase nötig sind, erheblich reduzieren.
Was du damit machen kannst
- 1Funktions-Impact auf Routes zurückverfolgenIdentifiziere, welche HTTP-Endpoints oder Commands betroffen sind, wenn eine spezifische Funktion geändert wird.
- 2Konsequenzen von Code-Änderungen analysierenBestimme die Ripple-Effects von uncommitted Änderungen auf bestehende Tests und System-Entry-Points.
- 3Symbol-Usage und Declarations mappenLokalisiere alle Module, File-Declarations und spezifischen Symbol-Usages innerhalb eines Projekts.
- 4Komplexe Call-Hierarchien navigierenFinde alle Funktionen oder Methoden, die von einem bestimmten Code-Abschnitt über mehrere Ebenen hinweg aufgerufen werden.
Geschrieben aus dem README des Projekts. Jeder Use Case wurde gegen ein Zitat daraus geprüft.
So installierst du LayerMap MCP
Formate geprüft am 10. Nov. 2026Zu Cursor hinzufügenZu Goose hinzufügenLayerMap MCP in Claude Code installieren
$ claude mcp add layermap -- npx -y layermapLayerMap MCP in Cursor installieren
~/.cursor/mcp.json
{
"mcpServers": {
"layermap": {
"command": "npx",
"args": [
"-y",
"layermap"
]
}
}
}LayerMap MCP in VS Code installieren
.vscode/mcp.json
{
"servers": {
"layermap": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"layermap"
]
}
}
}LayerMap MCP in VS Code CLI installieren
$ code --add-mcp '{"name":"layermap","type":"stdio","command":"npx","args":["-y","layermap"]}'LayerMap MCP in Claude Desktop installieren
claude_desktop_config.json
{
"mcpServers": {
"layermap": {
"command": "npx",
"args": [
"-y",
"layermap"
]
}
}
}LayerMap MCP in Codex installieren
$ codex mcp add layermap -- npx -y layermapLayerMap MCP in Codex config.toml installieren
~/.codex/config.toml
[mcp_servers.layermap] command = "npx" args = ["-y", "layermap"]
LayerMap MCP in Gemini CLI installieren
$ gemini mcp add -s user layermap npx -- -y layermapLayerMap MCP in Gemini settings.json installieren
~/.gemini/settings.json
{
"mcpServers": {
"layermap": {
"command": "npx",
"args": [
"-y",
"layermap"
]
}
}
}Automatisierte Checks
Geluften am 13. Nov. 2026Vollständiger Bericht →Unsere automatisierten Checks bestanden. Das ist kein Security-Audit: Lies den Code und gib dem Server nur den minimal notwendigen Zugriff. Wie die Checks funktionieren
- Source Repository verknüpft und erreichbarcoffeecoproject/layermap is public and reachablegithub.com/coffeecoproject/layermap ↗Bestanden
- Paket nennt dieses Repository als Quellelayermap names coffeecoproject/layermap as sourcenpmjs.com/package/layermap ↗Bestanden
- Build-Provenienz (Sigstore-Attestierung)No build attestation published for this releaseNicht geprüft
- Open Source Lizenz (OSI)Apache-2.0spdx.org/licenses/Apache-2.0.html ↗Bestanden
- Commit oder Release im letzten JahrLast commit or release 2026-11-13github.com/coffeecoproject/layermap ↗Bestanden
- OpenSSF ScorecardNicht geprüft
- Package-Name ähnelt keinem populären PackageNo popular package one edit away from layermapBestanden
- Keine kritischen Advisories im Paket oder seinen Abhängigkeitenthe package checked; no critical advisoryosv.dev ↗Bestanden
- Keine versteckten Anweisungen an das Modell0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersBestanden
- Destruktive Tools sind markiertNicht geprüft
- Remote-Endpoint beantwortet den MCP-HandshakeNicht geprüft
README
Auf GitHub ansehenLayerMap
English · 中文
LayerMap tells your coding agent what calls a function and what changing it affects, up to the HTTP routes, in one call. With at most 15 requests, Claude Code on Opus 5.5 found 99.9% of affected endpoints with LayerMap vs 76.0% without; with no limit, it found about the same and cost 48% less, or 27% less without the task that gained most (benchmark).
Resolved by each language's compiler or type checker, not guessed from names by tree-sitter: calls through interfaces, base classes, templates and decorators link as the compiler links them, for TypeScript, JavaScript, Go, Python and Java.
A layered map of your codebase for coding agents. LayerMap gives Claude Code, Codex, CodeBuddy Code, Pi, DeepSeek Harness and other MCP clients read-only tools that answer, in one call, what an agent otherwise works out with dozens of searches:
- What calls this, and what does changing it affect? Callers traced up to 8 levels, to the HTTP routes, handlers, jobs and commands they start from.
- What does it call? Callees down to 8 levels.
- What is here? Modules, each file's declarations, and every usage of a symbol.
- What did my edit affect? The routes, jobs and commands the uncommitted changes reach, and the existing tests related to them.
It maps TypeScript, JavaScript, Go, Python and Java with each language's own compiler, so calls
through interfaces, base classes, templates and decorators resolve as the compiler resolves them,
including the ones text search misses. In WeChat mini-programs, it also links each page's and
component's template (.wxml) to the methods it binds and the components it shows, and each event a
component emits to the handlers the pages bind to it, so callers reach the pages.
Example
In Miniflux, one call on Storage.MarkFeedAsRead finds all four
ways a request reaches it, each with its route:
DECLARATION internal/storage/entry.go: Storage.MarkFeedAsRead m656-680 exported
← called by internal/api/feed.go: handler.markFeedAsRead m140-155 @149
← called by internal/fever/handler.go: handler.handleWriteFeeds m492-519 @508
← called by internal/googlereader/handler.go: handler.markAllAsReadHandler m1261-1338 @1311
← called by internal/ui/feed_mark_as_read.go: handler.markFeedAsRead m14-30 @24
[1] internal/api/feed.go: handler.markFeedAsRead m140-155
← used as value by internal/api/api.go: Serve f25-84 @61 "PUT /v1/feeds/{feedID}/mark-all-as-read"
[1] internal/googlereader/handler.go: handler.markAllAsReadHandler m1261-1338
← used as value by internal/googlereader/handler.go: Serve f44-64 @62 "POST /reader/api/0/mark-all-as-read"
[1] internal/ui/feed_mark_as_read.go: handler.markFeedAsRead m14-30
← used as value by internal/ui/ui.go: Serve f18-180 @77 "POST /feed/{feedID}/mark-all-as-read"
… (the Fever API, then on down to main.go: main)
m and f mark methods and functions with their lines; @ is the line of the call, and the quoted
route is what it is registered under: the HTTP method and the full path, with the /v1 prefix its
subrouter adds. In Java, Python and TypeScript the route shows on the handler itself, as in
@GetMapping("/{id}") route "GET /api/tasks/{id}".
Results
Impact questions ("which HTTP endpoints does changing this affect?") on public Go, Python and Java projects, graded blind against truth sets cross-checked with each language's own toolchain:
| With LayerMap | Without | |
|---|---|---|
| Endpoints found, at most 15 requests (Claude Code on Opus 5.5, 6 tasks × 3 runs) | 99.9% | 76.0% |
| Cost / time at that limit (Opus 5.5) | +12% / +4% | |
| Endpoints found, no request limit (Opus 5.5, 6 tasks × 2 runs) | 100% | 99.7% |
| Cost / time, no request limit (Opus 5.5, maps built ahead) | −48% / −33%; −27% / −21% without the task that gained most | |
| Ripple tasks: runs leaving other features' tests passing (Opus 5.5, 4 tasks × 3 runs) | 12 of 12 | 12 of 12 |
Endpoints found, at most 15 requests (gpt-5.5, 6 tasks × 3 runs) |
97.9% | 58.8% |
| Used unprompted by Claude Code / Codex (plugin installed, two rounds) | 12 of 12 / 12 of 12 | — |
| Endpoints found, no request limit (Claude Code / Codex, 0.1.5) | 100% / 100% | 99.0% / 100% |
| Claude Code cost, no request limit (0.1.5 re-run; first round −32%) | −33% | |
| Codex input tokens, no request limit (current defaults) | +14% | |
Time, no request limit (Claude Code on claude-opus-5 / Codex, 0.1.5) |
+25% / +20% | |
| Failing tests the change check lists (Go / Python, functions made to fail) | 100% / 94–98% | — |
| Ripple tasks: runs leaving other features' tests passing (Codex / Claude Code, 4 tasks × 6 runs with, × 3 without) | 23 of 24 / 11 of 24 | 3 of 12 / 4 of 12 |
| Everyday tasks, no impact analysis needed: done right / time (Claude Code and Codex, 8 tasks × 2 runs) | 32 of 32 / +12–31% | 32 of 32 |
With a tight budget, the map finds far more of the affected code, at 12–24% more cost or tokens. With
no limit, both agents find nearly everything either way. Claude Code costs a third to a half less
with the map. On Opus 5.5 it was also a third faster, though one task accounts for much of that gap
and the maps were built ahead; on claude-opus-5 it was a quarter slower. Codex's current defaults already search lean, so the map no longer saves it tokens; at
reasoning effort max, in the first round, it saved 55%. Codex with the map explores more widely,
which takes longer. On requests whose obvious change breaks another feature, the change check
helped Codex keep to the requested feature. Claude Code saw which tests of other features it had
changed but often kept the broader change on purpose, so it showed no clear difference; on Opus 5.5
it broke nothing with or without the map, and the check cost 17% more. On small
local tasks the map changed nothing but cost about a fifth more time and money. These are small samples on tasks written by LayerMap's authors.
The report has the
setup, the published tasks and the limitations.
How LayerMap differs
Other tools give agents part of this. LayerMap combines compiler accuracy with whole-chain traces in one local map:
| Tree-sitter code graphs (codegraph, GitNexus, …) | Language servers and IDEs (Claude Code's LSP tool, Serena, JetBrains) | Embedding search (Claude Context, Augment) | LayerMap | |
|---|---|---|---|---|
| How calls are linked | Matched by names, imports and framework rules, often with confidence scores | The compiler's own resolution | Not linked; similar code is retrieved | Resolved by each language's compiler or type checker |
| Callers traced to routes and handlers | In several tools, at varying depth | One level per request (JetBrains: 5 by default) | — | Up to 8 levels in one call |
| Kept as a map | Yes, with file watching | No, answered live by a running server | An index of code chunks | Yes, brought up to date on every call |
| Runs on your machine | Yes; some send anonymous telemetry | Yes | Usually with cloud embeddings | Yes, and sends nothing |
Another tool fits better if you need:
- more languages, since tree-sitter graphs cover 30 or more;
- renaming and refactoring, from language servers;
- search by meaning, from embedding search;
- search across many repositories, with Sourcegraph.
Install
Claude Code
/plugin marketplace add coffeecoproject/layermap
/plugin install layermap@layermap
Codex
codex plugin marketplace add coffeecoproject/layermap
codex plugin add layermap@layermap
CodeBuddy Code
codebuddy plugin marketplace add coffeecoproject/layermap
codebuddy plugin install layermap@layermap
Pi
pi install npm:layermap
DeepSeek Harness
npx layermap setup dsh
This adds LayerMap to every dsh profile. Each session maps the project dsh was started in, and
npx layermap remove dsh undoes it.
In every agent, start a new session in a Git repository and ask as usual. LayerMap tells the agent
when the map helps. A session started in a folder holding several repositories, or one that moves
to another repository, works too: each map tool call maps the repository its path names. The first
time a session starts a version of LayerMap, npm installs that pinned layermap package into
LayerMap's cache; later sessions start it from there, even offline.
Claude Code asks once before each map tool runs in a project. Choose "don't ask again", or run
npx layermap allow claude to allow the plugin's read-only tools everywhere.
After an edit. When the agent changes code, project_check_changes lists what the change
affects: the routes, jobs and commands that reach the changed functions, what the map cannot see,
and the existing tests related to the change. When the changed code serves several areas (packages
or modules), it names each one with its tests, and it names the existing tests the diff rewrote, so
a change meant for one feature does not quietly change the others. Environment variables and
configuration keys are linked by name only, which no compiler sees, so when the diff removes one
from a file, the check names the files that still read or set the old name. In the same way, when
the change reaches a route's handler or renames a route, it names the code and templates that
request that path: a frontend's fetch, a generated API client, a redirect or a link. When the change adds
an import between two modules of the project overview, it names it, and says when the two now
depend on each other; whether that direction suits the project's layers is for the agent to judge. When a
declaration the change adds reads almost the same as code the project already has, it names both, so
the agent can use the existing code instead of a copy. When the change takes away the last call to a
declaration, as when new code replaces old, it names that declaration, so the agent can delete what
the change left behind. The map does not link a field or type to the code reading it, so for one the
change touches, the check searches for its references and follows that code up to the entry points
and tests, as possibly affected. It never writes or runs tests. In Claude Code and
CodeBuddy Code the plugin asks the agent once, before it finishes, to run this check for each repository it edited code in
and has not checked since, whether through its edit tools or shell commands, which count for the code files they name
(changes another session makes in the same work tree do not count); the Pi extension does the same after the agent's own
edits. Set LAYERMAP_STOP_CHECK=0 to turn that
off. Codex and DeepSeek Harness are told to run it.
Without plugins: run npx layermap setup claude or npx layermap setup codex. Setup does three
things:
- registers the server;
- lets its read-only tools run without a prompt;
- adds one marked sentence to the agent's instructions file.
Setup is for one machine; for a whole team, have each member install the plugin. npx layermap remove … undoes it. For any other MCP client, run npx -y layermap mcp as a stdio server in the
repository.
Requirements:
- Node.js 22.22 or later.
- macOS or Linux (x64 or arm64); Windows (x64 or arm64) is experimental.
- A Git repository.
- For Java projects, a JDK 21 or later.
How it works
The first call in a repository builds its map: seconds for a small project, a few minutes for a large one. Later calls re-analyze only what changed, so the map always matches the working tree.
Maps stay in your user cache (~/Library/Caches/layermap, ~/.cache/layermap or
LAYERMAP_CACHE), never in the repository. LayerMap runs entirely on your machine and sends
nothing anywhere (privacy,
security).
| Tool | Use |
|---|---|
project_explore_map |
A directory, a file, or a declaration's callers and callees (direction INCOMING or OUTGOING, depth up to 8). |
project_search_map |
Find declarations by words in their names, paths or documentation. |
project_find_references |
Every usage of a declaration, compiled from current source. |
project_check_changes |
What the uncommitted changes (or those since base) affect: changed and removed declarations, the routes, jobs and commands they reach, the areas that share the changed code, environment variables and configuration keys it removed that other files still use, code and templates that request the affected routes, new dependencies between modules and the cycles they close, new code that repeats existing code, what to check by hand, and related tests. Given tests, also the changed code none of those test files calls or requests through a route, and the entry points above it. |
The same from the command line:
npx layermap explore src/api/users.ts --name createUser --direction INCOMING --depth 8
npx layermap search "invoice total"
npx layermap refs src/billing/tax.ts calculateTax
npx layermap check --base main
npx layermap check test/billing.test.ts # also: what of the change this test does not run
FAQ
How long does the first map take? On a recent Mac:
- Miniflux (400 Go files): about 3 s.
- Polar's server (1,900 Python files): about a minute.
- Conductor (1,500 Java and 1,300 TypeScript files): under two minutes.
What can't it see? Calls the compiler cannot resolve statically: dependency injection, unknown
framework routing, reflection and computed names. The tools say where a trace stops, and a missing
relationship does not prove absence. TypeScript and JavaScript types come from the packages installed
in the project's node_modules (never mapped themselves); where they are not installed, as in a
fresh worktree, values typed by them have no type to follow, and the tools name those packages.
Windows? Experimental. LayerMap's tests pass on Windows, but it has not yet been tried with Claude Code or Codex on a real Windows machine, so please test it on your own projects first and report what breaks. The Claude Code plugin's hooks need Git for Windows (they run in Git Bash); without it the map tools still work, and the session-start note and end-of-task check do not run.
Claude Code in print mode (claude -p)? Print mode, as of Claude Code 2.1, does not start the
servers that installed plugins bring, so the map tools are missing there while the plugin's hooks
still run. Pass the server yourself:
claude -p "..." --mcp-config '{"mcpServers":{"layermap":{"command":"npx","args":["-y","layermap","mcp"]}}}'
How do I remove it?
- Claude Code:
/plugin uninstall layermap@layermap. - Codex:
codex plugin remove layermap@layermap. - CodeBuddy Code:
codebuddy plugin uninstall layermap@layermap. - Pi:
pi remove npm:layermap. - Then delete the cache directory.
Development
You need pnpm, Go 1.24 and a JDK 21+. A missing toolchain leaves its language unanalyzed.
Run pnpm install. On the first install pnpm asks which dependencies may run build scripts; allow
esbuild only, since the SQLite package ships prebuilt binaries:
pnpm approve-builds esbuild '!@photostructure/sqlite'
Then run pnpm test, pnpm typecheck or pnpm lint.
pnpm package builds the npm package.
License
LayerMap MCP Fragen
Wie füge ich LayerMap MCP zu Claude Code hinzu?
Führe claude mcp add layermap -- npx -y layermap in deinem Terminal aus. Füge --scope user hinzu, damit der Server in jedem Projekt verfügbar ist.
Wie füge ich LayerMap MCP zu Cursor hinzu?
Öffne ~/.cursor/mcp.json und füge den Server unter mcpServers hinzu, mit der Cursor-Config aus dem Installationsabschnitt oben.
Wie löst LayerMap Funktionsaufrufe auf?
Es nutzt den jeweiligen Compiler oder Type Checker der Sprache, um Aufrufe über Interfaces, Base Classes, Templates und Decorators aufzulösen, anstatt sich auf Namensähnlichkeiten zu verlassen.
Welche Informationen kann LayerMap mit einem einzigen Call liefern?
Es kann Caller bis zu 8 Ebenen tief bis hin zu HTTP-Routes, Handlern, Jobs und Commands zurückverfolgen sowie Callees, Module und Symbol-Usages identifizieren.