原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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GraphPilot

作者:graphpilot-oss版本 1.0.1i★ –i在你的电脑上运行
注册名称io.github.graphpilot-oss/graphpilot

安装

概览

作者提供的说明(英文原文)

Structural memory for coding agents: callers, callees, blast radius and symbols over MCP.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "graphpilot": {
      "command": "npx",
      "args": [
        "-y",
        "@graphpilot-oss/graphpilot",
        "mcp"
      ],
      "env": {
        "GRAPHPILOT_ROOT": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add graphpilot --env GRAPHPILOT_ROOT=your-value -- npx -y @graphpilot-oss/graphpilot mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "graphpilot": {
      "command": "npx",
      "args": [
        "-y",
        "@graphpilot-oss/graphpilot",
        "mcp"
      ],
      "env": {
        "GRAPHPILOT_ROOT": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "graphpilot": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@graphpilot-oss/graphpilot",
        "mcp"
      ],
      "env": {
        "GRAPHPILOT_ROOT": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • GRAPHPILOT_ROOT env
    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.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 graphpilot-oss 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7243 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7243 个服务器的 15% 更新
  • 基础检查结果等于或优于此分类中其他 7243 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

GraphPilot 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.1)于5个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT3天前更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT44天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

GraphPilot

Structural memory for coding agents.

A refactor-safe, branch-aware, evidence-backed code graph that runs entirely on your machine.

Quickstart · Tools · How it works · Editor setup · Limitations · Benchmarks


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.

ModeCommandWhat it does
CLIgraphpilot index Walks your repo, builds the structural graph, writes it to ~/.graphpilot/
graphpilot watch Keeps the graph fresh (~10 ms per file save)
graphpilot status Health probe — when the graph was last refreshed, file/symbol/edge counts
MCP servergraphpilot mcpSpeaks 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.

/graph.json; the read-only graphpilot mcp server reads it and serves your coding agent over stdio JSON-RPC" width="720" />

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 @ sha on 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: to gp_impact and the result is filtered to files your branch actually touches. PR-scoped refactor analysis in one call instead of git diff | xargs grep.
  • 🪵 Worktree-aware by default. Two git worktree add-ed branches naturally produce two separate indexes — no manual config. Run graphpilot index ./src/feature from 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 --version to 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

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 /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/ /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: true for partial matches), each with file: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 without git diff gymnastics.
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 watch for sub-10 ms incremental updates between explicit re-indexes.

How it works

<img src="docs/diagrams/how-it-works.svg" alt="How GraphPilot works, in two phases. Build time (CLI index/watch): your repo flows through indexer.ts, parser.

只显示了开头部分;其余内容请在仓库中阅读

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