Menyediakan memori struktural untuk coding agent dengan mengindeks repositori TypeScript/JavaScript ke dalam graph simbol, caller, dan callee yang dapat dicari.
Juga dikenal sebagai graphpilot-oss/graphpilot, @graphpilot-oss/graphpilot
- Stars
- 17
- Tools
- —
- Unduhan, 30 hari
- 174
- Versi terbaru
- 1.0.1
- Commit terakhir
- 10 Sep 2026
- Lisensi
- Apache-2.0
Apa itu GraphPilot MCP?
GraphPilot adalah MCP server. Menyediakan memori struktural untuk coding agent dengan mengindeks repositori TypeScript/JavaScript ke dalam graph simbol, caller, dan callee yang dapat dicari.
Ringkasan dibuat dari README proyek
Tentang GraphPilot MCP server
GraphPilot menyediakan memori struktural untuk coding agent dengan mengindeks repositori TypeScript dan JavaScript ke dalam graph yang dapat dicari. Sistem ini memetakan simbol, caller, dan callee untuk membantu model AI memahami hubungan kode tanpa harus melakukan pencarian file secara berulang. Sistem berjalan sepenuhnya di mesin lokal Anda, memastikan privasi dan kecepatan melalui arsitektur local-first.
Pengguna berinteraksi dengan sistem menggunakan CLI untuk membangun dan memelihara index, sementara coding agent seperti Claude Code, Cursor, Cline, Windsurf, dan Continue terhubung melalui MCP server. Setup ini memerlukan Node.js versi 20 atau lebih tinggi. Setelah dikonfigurasi, agent akan menggunakan tool spesifik untuk melakukan query ke graph alih-alih membaca teks mentah dalam jumlah besar. Pendekatan ini secara signifikan mengurangi konsumsi token dan membantu mencegah halusinasi saat melakukan tugas refactoring yang kompleks. Server ini dirancang agar branch-aware dan worktree-aware, sehingga memberikan informasi spesifik sesuai dengan state git Anda saat ini.
Apa yang bisa Anda lakukan dengannya
- 1Menemukan definisi fungsiAgent dapat menemukan dengan tepat di mana sebuah simbol tertentu didefinisikan di dalam codebase yang besar.
- 2Menganalisis dampak refactoringDeveloper dapat meminta AI untuk menentukan blast radius dari sebuah perubahan guna melihat bagian mana yang mungkin rusak.
- 3Menelusuri rantai pemanggilan fungsiAgent dapat mengidentifikasi semua caller atau callee dari simbol tertentu untuk memahami alur kode.
- 4Melakukan analisis berbasis scope branchAnda dapat membatasi analisis dampak hanya pada file yang dimodifikasi dalam branch atau commit tertentu.
Ditulis berdasarkan README proyek. Setiap use case diperiksa terhadap kutipan dari README tersebut.
Cara menginstal GraphPilot MCP
Format diverifikasi 10 Nov 2026Tambahkan ke CursorTambahkan ke GooseInstal GraphPilot MCP di Claude Code
$ claude mcp add graphpilot -- npx -y @graphpilot-oss/graphpilotInstal GraphPilot MCP di Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"graphpilot": {
"command": "npx",
"args": [
"-y",
"@graphpilot-oss/graphpilot"
]
}
}
}Instal GraphPilot MCP di VS Code
.vscode/mcp.json
{
"servers": {
"graphpilot": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@graphpilot-oss/graphpilot"
]
}
}
}Instal GraphPilot MCP di VS Code CLI
$ code --add-mcp '{"name":"graphpilot","type":"stdio","command":"npx","args":["-y","@graphpilot-oss/graphpilot"]}'Instal GraphPilot MCP di Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"graphpilot": {
"command": "npx",
"args": [
"-y",
"@graphpilot-oss/graphpilot"
]
}
}
}Instal GraphPilot MCP di Codex
$ codex mcp add graphpilot -- npx -y @graphpilot-oss/graphpilotInstal GraphPilot MCP di Codex config.toml
~/.codex/config.toml
[mcp_servers.graphpilot] command = "npx" args = ["-y", "@graphpilot-oss/graphpilot"]
Instal GraphPilot MCP di Gemini CLI
$ gemini mcp add -s user graphpilot npx -- -y @graphpilot-oss/graphpilotInstal GraphPilot MCP di Gemini settings.json
~/.gemini/settings.json
{
"mcpServers": {
"graphpilot": {
"command": "npx",
"args": [
"-y",
"@graphpilot-oss/graphpilot"
]
}
}
}Konfigurasi
GRAPHPILOT_ROOTAbsolute path to the repository GraphPilot should index and serve. Optional — falls back to the MCP client's workspace root or a parent-directory walk.
| Nama | Deskripsi | Tipe |
|---|---|---|
| GRAPHPILOT_ROOT | Absolute path to the repository GraphPilot should index and serve. Optional — falls back to the MCP client's workspace root or a parent-directory walk. |
Pengecekan otomatis
Berjalan 13 Nov 2026Laporan lengkap →Lolos checks otomatis kami. Ini bukan audit keamanan: baca kodenya dan berikan server akses paling terbatas yang dibutuhkannya. Cara kerja checks
- Source repository terhubung dan dapat dijangkaugraphpilot-oss/graphpilot is public and reachablegithub.com/graphpilot-oss/graphpilot ↗Lolos
- Nama paket mencantumkan repositori ini sebagai sumbernya@graphpilot-oss/graphpilot names graphpilot-oss/graphpilot as sourcenpmjs.com/package/@graphpilot-oss/graphpilot ↗Lolos
- Provenance build (atestasi Sigstore)Sigstore attestation for @graphpilot-oss/graphpilotnpmjs.com/package/@graphpilot-oss/graphpilot/v/1.0.1#provena ↗Lolos
- Lisensi open source (OSI)Apache-2.0spdx.org/licenses/Apache-2.0.html ↗Lolos
- Ada commit atau release dalam satu tahun terakhirLast commit or release 2026-09-10github.com/graphpilot-oss/graphpilot ↗Lolos
- OpenSSF ScorecardTidak diperiksa
- Nama package tidak mirip dengan package populerNo popular package one edit away from @graphpilot-oss/graphpilotLolos
- Tidak ada advisory kritis pada paket atau dependensinya154 resolved dependencies checked; no critical advisoryosv.dev ↗Lolos
- Tidak ada instruksi tersembunyi untuk model0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersLolos
- Tools yang bersifat destruktif telah diberi labelTidak diperiksa
- Endpoint remote merespons handshake MCPTidak diperiksa
README
Lihat di GitHubWhat it is
GraphPilot is a local CLI + MCP server that indexes your TypeScript/JavaScript repo into a structural graph (symbols, callers, callees, blast radius) and exposes it to coding agents — Claude Code, Cursor, Cline, Windsurf, Continue — so they stop re-grepping the same files every conversation.
The problem it solves: agents burn tokens, hallucinate function names, and miss structural relationships ("what calls this?", "what breaks if I rename it?") because each session starts from zero. GraphPilot is the persistent structural memory in between.
Token cost drops. Hallucinations drop. Refactors get safer.
Put a real coding agent (claude-sonnet-4-5) on 40 structural questions about fastify — a ~300-file Node.js framework — and give it nothing but file reads. Then hand it GraphPilot's four tools and ask the same 40. The agent with GraphPilot uses 61 % fewer tokens, costs $3.68 instead of $8.88 — $5.20 saved per session — and gets more of them right, not fewer (37 correct vs 33). Same model, same questions, same repo; the only change is whether the structural index is there. Reproduce it →
A separate correctness benchmark backs the savings with precision: on 10 standardized structural queries GraphPilot scores F1 0.89 vs grep's 0.42 while reading 99.9 % fewer bytes (721 B vs 528 KB), and the byte-cost win holds at scale — indexing microsoft/TypeScript (601 files, 17 k symbols, 70 k call edges in 10 s) gives sub-millisecond queries and a 99.99 % bytes-read reduction. Full methodology →
One binary, two modes
GraphPilot ships as a single npm package (@graphpilot-oss/graphpilot) with two runtime modes — most users run both.
| Mode | Command | What it does |
|---|---|---|
| CLI | graphpilot index <path> |
Walks your repo, builds the structural graph, writes it to ~/.graphpilot/ |
graphpilot watch <path> |
Keeps the graph fresh (~10 ms per file save) | |
graphpilot status <path> |
Health probe — when the graph was last refreshed, file/symbol/edge counts | |
| MCP server | graphpilot mcp |
Speaks MCP over stdio — your coding agent calls into this to query the graph |
The flow: the CLI builds the index once (and watch keeps it warm). The MCP server is what your coding agent talks to — you never invoke it yourself, you just point your agent's MCP config at graphpilot mcp once and the agent spawns it on every session.
If you only want CLI access to your code graph (no agent), run graphpilot index and then graphpilot stats / inspect graph.json directly. If you only want the agent integration, you still need to run graphpilot index once — the MCP server is read-only against the on-disk graph.
What makes it different
Other code-graph tools treat your repo as a static blob: index once, query forever, no branch awareness, no proof of where an answer came from. GraphPilot is built around three properties none of them ship:
- 🔍 Evidence anchors. Every tool response carries
file:line @ shaon every symbol and call site. The agent can quote the anchor verbatim and you can verify it instantly — hallucinations get exposed the moment you jump to the line. - 🌿 Differential impact. Pass
since: <commit|branch>togp_impactand the result is filtered to files your branch actually touches. PR-scoped refactor analysis in one call instead ofgit diff | xargs grep. - 🪵 Worktree-aware by default. Two
git worktree add-ed branches naturally produce two separate indexes — no manual config. Rungraphpilot index ./src/featurefrom a subdir and it transparently re-roots to the worktree top. Opt out with--no-worktree.
Add to that: local-first (no telemetry, no remote calls, enforced by an ESLint policy on src/ itself), deterministic (same repo → same graph), sub-second incremental updates via watch mode.
Quickstart
Prerequisites
- Node.js ≥ 20 (
node --versionto check) - An MCP-capable coding agent (Claude Code, Cursor, Cline, Windsurf, or Continue)
- A TypeScript or JavaScript repo to index
End-to-end time: ~3 minutes.
1. Install the CLI
npm install -g @graphpilot-oss/graphpilot
# or: pnpm add -g @graphpilot-oss/graphpilot
# or one-shot, no install: npx @graphpilot-oss/graphpilot <command>
Verify it landed on your PATH:
graphpilot --version
# → 0.1.0
If you see command not found: graphpilot, your global npm bin is not on PATH. Run npm config get prefix and add <prefix>/bin to your shell's PATH, or use the npx form above.
2. Build the structural index for your repo
Run this once per project. It walks your source tree, parses each TS/JS file with tree-sitter, extracts symbols + call edges, and writes the graph to ~/.graphpilot/<repo-id>/graph.json.
graphpilot index ~/code/my-app
Expect a one-line summary like indexed 412 files · 3,981 symbols · 7,204 edges · 1.8s.
3. Wire it into your coding agent
GraphPilot speaks MCP over stdio. Add this server entry to your agent's MCP config — every supported client uses the same two-line shape:
{
"mcpServers": {
"graphpilot": {
"command": "graphpilot",
"args": ["mcp"]
}
}
}
Where this file lives depends on the client (~/.cursor/mcp.json, ~/.claude.json, Cline's settings panel, etc.). Pre-made configs with the exact file path for each agent are in examples/ — copy the one for your client.
Restart the agent. It now has four new tools: gp_recall, gp_callers, gp_impact, gp_index — see The four tools below for what each one does and when the agent should reach for it.
4. Try it
Ask your agent a structural question instead of letting it grep:
"Use gp_impact to show me everything that breaks if I rename
parseToken."
You should see a response with file:line @ sha anchors you can click straight to. If the agent doesn't reach for the tool, prompt explicitly: "use the gp_ MCP tools." If it can't see them at all, the MCP config wasn't picked up — run graphpilot doctor to pinpoint why (or see docs/troubleshooting.md), then restart the agent.
5. Keep the index fresh as you edit (optional but recommended)
graphpilot watch ~/code/my-app
Sub-10 ms incremental updates on each file save. Leave it running in a terminal tab.
6. Drop per-editor routing rules into your repo (optional)
graphpilot init
Auto-detects which editors you have installed (Cursor, Claude Code, Cline, Windsurf, Continue) and writes the matching rules file (.cursorrules, CLAUDE.md, etc.) to the current directory. The rules teach the agent to reach for gp_* tools before grep.
graphpilot init --all # write rules for every supported editor
graphpilot init --client cursor # one editor only
graphpilot init --dry-run # preview without writing
Full 5-minute walkthrough with screenshots: docs/quickstart.md.
The four tools
GraphPilot exposes four MCP tools. Each one answers a structural question your agent would otherwise solve by grepping and reading files.
gp_recall — find a symbol by name
Use this when the agent asks "where is X defined?" or needs to locate a function before reasoning about it.
- Input:
{ query, limit?, substring?, path? } - Returns: symbols matching the name (exact case-insensitive by default;
substring: truefor partial matches), each withfile:line @ sha. - Replaces:
grep -rn "function X"plus reading each hit to find the real definition.
Agent: gp_recall({ query: "parseToken" })
→ parseToken (function) — src/auth.ts:42 @ a1b2c3d
export function parseToken(raw: string): Token | null
gp_callers — list callers (or callees)
Use this when the agent needs to know "who calls X?" or "what does X call?" — the two fundamental questions of refactoring.
- Input:
{ symbol, direction?: 'callers' | 'callees', limit?, includeUnresolved?, path? } - Returns: every call edge where the symbol is target (callers) or source (callees), with anchors.
- Replaces:
grep -rn "X("followed by manual filtering of comments, strings, and renamed shadows.
Agent: gp_callers({ symbol: "authenticate", direction: "callers" })
→ login → authenticate — src/routes/login.ts:18 @ a1b2c3d
→ refreshSession → authenticate — src/session.ts:64 @ a1b2c3d
gp_impact — blast radius in one call
Use this when the agent asks "what breaks if I rename X?" or "what depends on this?" — the single most expensive question an agent normally solves.
- Input:
{ symbol, depth? (1–5, default 3), since?, path? } - Returns: direct callers, transitive callers grouped by BFS depth, tests likely affected, public-API flag, summary stats.
- Killer feature: pass
since: 'main'and the result is scoped to files your branch actually touches — PR-scoped refactor review withoutgit diffgymnastics.
Agent: gp_impact({ symbol: "extractSymbols", depth: 2, since: "main" })
→ Direct callers (2): indexDirectory, applyUpdate
→ Depth-2 callers (1): cmdIndex
→ Tests affected (3): tests/indexer.test.ts, tests/symbols.test.ts, tests/cli.test.ts
→ Public API: no
gp_index — refresh from inside the agent
Use this after the agent (or the user) has made a batch of structural edits and wants the graph to reflect them without dropping to a shell.
- Input:
{ path? } - Returns: re-indexes the repo and invalidates the per-path query cache.
- Pairs with:
graphpilot watchfor sub-10 ms incremental updates between explicit re-indexes.
How it works
Data flow is one-way: source → tree → symbols + edges → JSON → query → agent. GraphPilot never modifies your code.
Full pipeline writeup with file references: docs/architecture.md.
When to use which tool
| If the agent is about to… | Reach for… | Why |
|---|---|---|
grep for a function by name |
gp_recall |
One call, no false positives from comments or strings |
| Read 20 files looking for "who calls X" | gp_callers |
Pre-computed reverse index, sub-millisecond |
| Plan a rename or signature change | gp_impact |
Direct + transitive + tests + public-API in one call |
| Review a PR's structural blast radius | gp_impact({ since: 'main' }) |
Differential — only callers your branch touches |
| Re-grep after editing several files | gp_index |
Incremental: lets the next call see your edits |
For string literals, error messages, config values, or anything in a language other than TS/JS: stay with grep. GraphPilot indexes code structure, not text.
Editor setup
GraphPilot speaks MCP over stdio, so it works with any MCP-capable client. Ready-to-paste configs live in examples/:
| Client | Folder |
|---|---|
| Claude Code (Anthropic) | examples/claude-code/ |
| Cursor | examples/cursor/ |
| Cline (VS Code extension) | examples/cline/ |
| Windsurf (Codeium) | examples/windsurf/ |
| Continue.dev | examples/continue/ |
| Any other MCP client | See docs/mcp-setup.md |
Each folder contains: a README.md walkthrough, a sample config file with the exact JSON to paste, and (where the client supports it) a routing template so the agent automatically reaches for GraphPilot on structural questions.
Privacy & security
GraphPilot is local-first by promise and by build gate.
- No telemetry, no remote calls, ever. Verifiable:
src/has zerohttp,fetch,axios, or analytics imports — enforced by an ESLint rule plus a meta-test that proves the rule fires on every banned import. - No
child_process, noexec, nospawn. Git facts are read directly from.git/via pure-JS helpers. - Source code never leaves your machine. Only structural metadata (names, locations, signatures, call relationships) lives in
~/.graphpilot/. - Signatures are redacted for common secret patterns (OpenAI/Anthropic
sk-, GitHubghp_/ghs_, AWSAKIA, JWTs, PEM headers, Slack/Stripe tokens) before they're written to disk. - Strict file permissions: dir
0o700, files0o600. - Schema validation on load: tampered or corrupt
graph.jsonfalls back to "no index" rather than poisoning the agent. - Hand-rolled input validators on every MCP tool — unknown fields are rejected, every field type-checked, numbers range-checked, strings length-capped.
Threat model and per-defence test references live in docs/architecture.md. Report security issues per SECURITY.md.
Limitations
GraphPilot v0.1 makes deliberate trade-offs to ship small and sharp:
- TS/JS only. Python, Rust, Go, Java are out of scope for v1. Python is demand-gated for v0.2 / v0.3.
- Name-based resolver (no import-path tracking, no type-based method dispatch). Expected resolution rate: ~25–35 % of edges resolve to in-repo symbols; the rest are stdlib / third-party. That's enough because the questions agents actually ask ("who calls X in my repo?") are the ones the dumb resolver answers correctly.
- No semantic search.
gp_recallis name-only. "Find code similar to this snippet" is deferred until 30+ users ask for it. - No
.graphpilotignoreyet (defaults skipnode_modules,dist,build,.git,coverage,.next,.nuxt,.cache,out,*.d.ts). - Single repo per query. Workspace abstraction is on the v1.x roadmap.
Full list with mitigations: docs/limitations.md.
FAQ
Does it send my code anywhere?
No. There is no network code in src/, no telemetry, no update check. An ESLint rule blocks adding any of those at the build gate.
Will it slow down my editor? The MCP server is idle until your agent calls a tool. Tool calls are sub-millisecond after the first lazy load. Watch mode adds ~3–10 ms per file save.
What happens to the graph when I switch branches?
If you use git worktree, you automatically get a separate graph per worktree. On a single working copy that you switch with git checkout, the graph reflects the last gp_index (or watch-mode updates). Run gp_index after a branch switch to refresh.
Do I need to re-index every session?
No. The graph persists at ~/.graphpilot/<repo-id>/graph.json. Re-index after sweeping changes; otherwise, watch mode keeps it fresh incrementally.
Why TypeScript/JavaScript first? That's where the maintainer's pain was, and tree-sitter-typescript covers TS, TSX, JSX, and JS in a single grammar. Python is the next likely addition; vote with a GitHub Discussion.
How does this compare to LSP? LSPs are scoped to one editor and one buffer at a time, and they re-compute on each query. GraphPilot is editor-agnostic, persists across sessions, and answers structural questions (who-calls, blast-radius) that LSPs don't expose uniformly.
The agent can't see the tools / something's not working.
Run graphpilot doctor — it checks Node, PATH, the index, the MCP handshake, and per-client config in one shot. Symptom-by-symptom fixes live in docs/troubleshooting.md.
Documentation
docs/quickstart.md— 5-minute walkthroughdocs/mcp-setup.md— per-client config referencedocs/troubleshooting.md— symptom-indexed fixes (start withgraphpilot doctor)docs/architecture.md— pipeline writeup with file refsdocs/limitations.md— v1 caveats (read this)bench/README.md— benchmark methodology + resultsexamples/— ready-to-paste configs for every supported client
Contributing
GraphPilot is small, opinionated, and accepting contributions. Start with CONTRIBUTING.md — especially the "What we are NOT doing in v1" section before you propose a feature.
Found a security issue? Please follow SECURITY.md instead of opening a public issue.
License
Apache-2.0. Copyright 2026 Akshay Sharma — codewithakki@gmail.com
Pertanyaan tentang GraphPilot MCP
Bagaimana cara menambahkan GraphPilot MCP ke Claude Code?
Jalankan claude mcp add graphpilot -- npx -y @graphpilot-oss/graphpilot di terminal Anda. Tambahkan --scope user agar tersedia di semua proyek.
Bagaimana cara menambahkan GraphPilot MCP ke Cursor?
Buka ~/.cursor/mcp.json dan tambahkan server di bawah mcpServers, menggunakan config Cursor yang ditunjukkan di bagian instalasi di atas.
Apa fungsi GraphPilot bagi coding agent?
GraphPilot menyediakan memori struktural persisten yang mengindeks simbol, caller, callee, dan blast radius, sehingga agent tidak perlu melakukan re-grep file di setiap sesi.
Bisakah saya menggunakan GraphPilot dengan workflow git yang sudah ada?
Ya, sistem ini mendukung branch-aware dan worktree-aware, memungkinkan Anda melakukan analisis refactor berbasis scope PR dengan mengirimkan commit atau branch ke impact tool.
Apakah data kode saya dikirim ke server remote?
Tidak, GraphPilot bersifat local-first tanpa telemetry atau panggilan remote.