Provides structural memory for coding agents by indexing TypeScript/JavaScript repositories into a searchable graph of symbols, callers, and callees.
Also known as graphpilot-oss/graphpilot, @graphpilot-oss/graphpilot
- Stars
- 17
- Tools
- —
- Downloads, 30 days
- 174
- Latest version
- 1.0.1
- Last commit
- Sep 10, 2026
- License
- Apache-2.0
What is GraphPilot MCP?
GraphPilot provides structural memory for coding agents by indexing TypeScript/JavaScript repositories into a searchable graph of symbols, callers, and callees.
Summary generated from the project's README
About GraphPilot MCP server
GraphPilot provides structural memory for coding agents by indexing TypeScript and JavaScript repositories into a searchable graph. It maps symbols, callers, and callees to help AI models understand code relationships without repetitive file searching. The system runs entirely on your local machine, ensuring privacy and speed through a local-first architecture.
Users interact with the system using a CLI to build and maintain the index, while coding agents like Claude Code, Cursor, Cline, Windsurf, and Continue connect via an MCP server. The setup requires Node.js version 20 or higher. Once configured, the agent uses specific tools to query the graph instead of reading large amounts of raw text. This approach significantly reduces token consumption and helps prevent hallucinations during complex refactoring tasks. The server is designed to be branch-aware and worktree-aware, providing context-specific information based on your current git state.
What you can do with it
- 1Locate function definitionsAn agent can find exactly where a specific symbol is defined within a large codebase.
- 2Analyze refactoring impactA developer can ask an AI to determine the blast radius of a change to see what might break.
- 3Trace function call chainsAn agent can identify all callers or callees of a specific symbol to understand code flow.
- 4Perform branch-scoped analysisYou can limit the impact analysis to only the files modified in a specific branch or commit.
Written from the project's README. Every use case is checked against a quote from it.
How to install GraphPilot MCP
Formats verified 10 Nov 2026Add to CursorAdd to GooseInstall GraphPilot MCP in Claude Code
$ claude mcp add graphpilot -- npx -y @graphpilot-oss/graphpilotInstall GraphPilot MCP in Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"graphpilot": {
"command": "npx",
"args": [
"-y",
"@graphpilot-oss/graphpilot"
]
}
}
}Install GraphPilot MCP in VS Code
.vscode/mcp.json
{
"servers": {
"graphpilot": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@graphpilot-oss/graphpilot"
]
}
}
}Install GraphPilot MCP in VS Code CLI
$ code --add-mcp '{"name":"graphpilot","type":"stdio","command":"npx","args":["-y","@graphpilot-oss/graphpilot"]}'Install GraphPilot MCP in Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"graphpilot": {
"command": "npx",
"args": [
"-y",
"@graphpilot-oss/graphpilot"
]
}
}
}Install GraphPilot MCP in Codex
$ codex mcp add graphpilot -- npx -y @graphpilot-oss/graphpilotInstall GraphPilot MCP in Codex config.toml
~/.codex/config.toml
[mcp_servers.graphpilot] command = "npx" args = ["-y", "@graphpilot-oss/graphpilot"]
Install GraphPilot MCP in Gemini CLI
$ gemini mcp add -s user graphpilot npx -- -y @graphpilot-oss/graphpilotInstall GraphPilot MCP in Gemini settings.json
~/.gemini/settings.json
{
"mcpServers": {
"graphpilot": {
"command": "npx",
"args": [
"-y",
"@graphpilot-oss/graphpilot"
]
}
}
}Configuration
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.
| Name | Description | |
|---|---|---|
| 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. |
Automated checks
Ran Nov 13, 2026Full report →Passed our automated checks. That is not a security audit: read the code and give the server the narrowest access it needs. How checks work
- Source repository linked and reachablegraphpilot-oss/graphpilot is public and reachablegithub.com/graphpilot-oss/graphpilot ↗Pass
- Package names this repository as its source@graphpilot-oss/graphpilot names graphpilot-oss/graphpilot as sourcenpmjs.com/package/@graphpilot-oss/graphpilot ↗Pass
- Build provenance (Sigstore attestation)Sigstore attestation for @graphpilot-oss/graphpilotnpmjs.com/package/@graphpilot-oss/graphpilot/v/1.0.1#provena ↗Pass
- Open source license (OSI)Apache-2.0spdx.org/licenses/Apache-2.0.html ↗Pass
- Commit or release in the last yearLast commit or release 2026-09-10github.com/graphpilot-oss/graphpilot ↗Pass
- OpenSSF ScorecardNot checked
- Package name not close to a popular packageNo popular package one edit away from @graphpilot-oss/graphpilotPass
- No critical advisory in the package or its dependencies154 resolved dependencies checked; no critical advisoryosv.dev ↗Pass
- No hidden instructions to the model0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersPass
- Destructive tools are labelledNot checked
- Remote endpoint answers the MCP handshakeNot checked
README
View on 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
GraphPilot MCP questions
How do I add GraphPilot MCP to Claude Code?
Run claude mcp add graphpilot -- npx -y @graphpilot-oss/graphpilot in your terminal. Add --scope user to make it available in every project.
How do I add GraphPilot MCP to Cursor?
Open ~/.cursor/mcp.json and add the server under mcpServers, using the Cursor config shown in the install section above.
What does GraphPilot do for coding agents?
It provides a persistent structural memory that indexes symbols, callers, callees, and blast radius, preventing agents from having to re-grep files in every session.
Can I use GraphPilot with my existing git workflow?
Yes, it is branch-aware and worktree-aware, allowing you to perform PR-scoped refactor analysis by passing a commit or branch to the impact tool.
Is my code data sent to a remote server?
No, GraphPilot is local-first with no telemetry or remote calls.