Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Structural memory for coding agents: callers, callees, blast radius and symbols over MCP.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
GRAPHPILOT_ROOT필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"graphpilot": {
"command": "npx",
"args": [
"-y",
"@graphpilot-oss/graphpilot",
"mcp"
],
"env": {
"GRAPHPILOT_ROOT": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add graphpilot --env GRAPHPILOT_ROOT=your-value -- npx -y @graphpilot-oss/graphpilot mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"graphpilot": {
"command": "npx",
"args": [
"-y",
"@graphpilot-oss/graphpilot",
"mcp"
],
"env": {
"GRAPHPILOT_ROOT": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"graphpilot": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@graphpilot-oss/graphpilot",
"mcp"
],
"env": {
"GRAPHPILOT_ROOT": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
GRAPHPILOT_ROOT env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 graphpilot-oss 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.1)은 5개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
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 →
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 | 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 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.
/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.
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:
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.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.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.
Prerequisites
node --version to check)End-to-end time: ~3 minutes.
1. Install the CLI
npm install -g @graphpilot-oss/graphpilot
Verify it landed on your PATH:
graphpilot --version
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.
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 nameUse this when the agent asks "where is X defined?" or needs to locate a function before reasoning about it.
{ query, limit?, substring?, path? }substring: true for partial matches), each with file:line @ sha.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.
{ symbol, direction?: 'callers' | 'callees', limit?, includeUnresolved?, path? }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 callUse 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.
{ symbol, depth? (1–5, default 3), since?, path? }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 agentUse 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.
{ path? }graphpilot watch for sub-10 ms incremental updates between explicit re-indexes.<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.
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요