
GraphPilot
io.github.graphpilot-oss由 GitHub 帳號 graphpilot-oss 發布v1.0.1更新於 Oct 24, 2026
Structural memory for coding agents: callers, callees, blast radius and symbols over MCP.
發布方自己的服務:QuickBooks Connector by Meridian
概覽
為編碼助理提供 TypeScript/JavaScript 專案的本地結構化索引,不必 grep 就能查詢符號、呼叫端、被呼叫端與影響範圍。
- 可以做什麼
- GraphPilot 會把 TS/JS 專案索引成符號與呼叫邊的結構化圖,並透過 MCP 提供給編碼助理。它提供四個工具:gp_recall 依名稱尋找符號,gp_callers 列出呼叫端或被呼叫端,gp_impact 計算直接與傳遞影響範圍(可用分支或提交限定),gp_index 重新整理圖。回應帶有 file:line @ sha 錨點,方便核對。另有獨立 CLI 負責建立與監看索引。
- 適用情境
- 當助理反覆 grep 並讀取同一批檔案來回答結構性問題(例如函式定義在哪裡、誰呼叫它、重新命名會破壞什麼)時,適合安裝。適用於 TypeScript 或 JavaScript 程式庫的重構與 PR 影響面審查。不適用於文字搜尋、其他語言或語意相似度檢索。
- 執行需求
- 需要 Node.js 20 或更新版本,以及支援 MCP 的編碼助理。套件從 npm 安裝,以本地 stdio 程序執行;必須先執行一次 CLI 建立索引,MCP 伺服器才有內容可提供。選用環境變數 GRAPHPILOT_ROOT 指定要索引的專案,否則使用客戶端工作區根目錄或往上尋找父目錄。未宣告需要帳號或 API 金鑰。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 GraphPilot,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
GraphPilot
Structural memory for coding agents.
A refactor-safe, branch-aware, evidence-backed code graph that runs entirely on your machine.
[License: Apache 2.0] [Node ≥20] [v0.1.0] [alpha] [239 tests] [GraphPilot MCP server]
Quickstart · Tools · How it works · Editor setup · Limitations · Benchmarks
[GraphPilot demo — install, index, and query a real TypeScript repo in under 30 seconds]
What 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.
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
Verify it landed on your PATH:
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.
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:
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)
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)
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.
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.
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.
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.
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
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/:
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 — [email protected]
來源:README.md,提交 ebd80de
工具
0版本歷史
1- v1.0.1最新Sep 16, 2026
評分
已滿足適用檢查項的 50%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
- 近 30 天內可連通25 分
請保持端點能夠回應 MCP 握手;SourceWeft 每 30 天探測一次。
- 已宣告認證方式10 分
請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。
- 已列出工具15 分
請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。
- 描述必需15 分
- 圖示10 分
- 文件15 分
- 授權條款10 分
其他 Pilot 整合
QuickBooks Connector by Meridian
com.pilot.meridian官方發布者
讓助理透過託管的遠端連接器讀取與寫入 QuickBooks Online 公司資料。
AI Agent Connector by Meridian
com.pilot.meridian官方發布者
讓 AI 助理以授權的讀取或寫入權限連接 Xero,並可跨多個組織操作。

XuLan ScreenPilot
由 GitHub 帳號 dahuam 發布
將真實的 Windows 螢幕轉換為帶編號的元素表,供你的 AI 代理程式操作。AI 翻譯

Covenant AAP - hosted developer pilot
由 GitHub 帳號 covenant-common 發布
託管的市場與合約起草伺服器:搜尋公開刊登、產生交易紀錄、起草與比對條款,並複核協議證據。
Tag Pilot Search Console
由 GitHub 帳號 tagpilot 發布
唯讀的 Google Search Console MCP 伺服器,讓助理查詢你網站的點擊、曝光、CTR、排名、網站地圖與索引狀態。