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AI Context logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 6:16:29 AM

AI Context

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository4 GitHub StarsTotal stargazers on GitHub for the source repository (4 stars).Visit Website

Local-first MCP server: version-correct library docs, code map, and offline drift for your repo.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "ai-context": {
      "command": "npx",
      "args": [
        "-y",
        "@vibgrate/cli"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (19) Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Capabilities & Tool Schemas (19) ~333 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by AI Context.

orient

start here: project overview, entry points, where to look first.

search_symbols

find a symbol by name or literal string.

query_graph

find code by meaning: symptoms, relationships, what-breaks-if.

get_node

inspect one symbol: signature, callers, callees, area.

find_path

shortest connection between two symbols.

impact_of

blast radius of a change: dependents, files, covering tests, risk.

Documentation Overview

Vibgrate

@vibgrate/cli
Local codebase intelligence for AI coding agents β€” graph, drift, and version-correct docs on your machine

npm version npm downloads Vibgrate DriftScore live demo VG Code β€” a coding agent grounded in the code graph Vibgrate Cloud MCP Apache 2.0 node 22+

vg answers three questions for any repo:

  1. What is this codebase? β€” A deterministic code graph: call trees, import paths, impact surfaces, dependency facts.
  2. How far behind is it? β€” A ranked DriftScore (0–100) with runtime/framework lag, dependency age and EOL proximity, and a prioritized fix list. Exposure is scored separately as a RiskScore; the two together are the DriftRisk Index. The full methodology β€” formulas, sources, and limitations β€” is published as a whitepaper under CC BY 4.0 (DOI 10.5281/zenodo.21336304).
  3. Can we fix it here? β€” VG Code, a coding agent whose search tool is the code graph, not a grep β€” in your terminal as vg code and as the VG Code panel in Vibgrate for VS Code β€” plus vg fix, ranked upgrade plans it can apply.

Everything runs on your machine. No API key, no network call, no data leaving your repo unless you explicitly push. The vibgrate command is an alias for vg β€” they are interchangeable.


See it run

Animated terminal replay: npx @vibgrate/cli scan produces a 74/100 drift score, a score breakdown, and ranked upgrade priorities.

A real vg scan replay β€” drift score, breakdown, and ranked priorities in one command. Animation plays right here on GitHub; nothing runs in your browser.

β–Ά Try the live, interactive CLI simulator β†’
Step through every command (scan, build, ask, why, …) against real sample repos.


Try it in 10 seconds

No install, no signup:

Terminal
npx @vibgrate/cli scan          # drift score + upgrade priorities
npx @vibgrate/cli build         # build the code graph
npx @vibgrate/cli ask "what does AuthService do?"
npx @vibgrate/cli code          # a coding agent β€” it asks before every edit

Install for repeat runs:

Terminal
npm install -D @vibgrate/cli
npx vg scan                     # vg is the primary command; vibgrate is an alias

Local binaries live in node_modules/.bin β€” use npx vg (or an npm script) unless you install globally.


Use it with your AI assistant

vg serve starts Vibgrate AI Context β€” a local-first MCP server that gives any MCP-compatible assistant (Claude, Cursor, Windsurf, Copilot, Gemini CLI, …) your code map, offline drift, local models, and version-correct library docs, all from your machine (no account, nothing uploaded; thin local docs fall through to the hosted catalog unless you pass --local). No context-window stuffing, no hallucinated APIs. The map keeps itself fresh: when files change β€” including edits the assistant itself just made β€” the next tool call rebuilds it incrementally before answering, with no watcher or daemon involved.

Recorded node-turborepo/serve replay of the real Vibgrate CLI

node-turborepo/serve β€” vg serve --http starts Vibgrate AI Context. Live simulator.

Wire it up in one command:

bash
vg install                      # interactive: pick your assistant(s) and done
vg install --all                # install for every detected assistant at once

This writes the MCP config for your chosen tool(s) and installs a skill that teaches the assistant how to query the graph. After reloading your assistant you get graph-aware answers: call trees, impact analysis, drift findings, version-correct library docs β€” all from local data. The token savings are measured and published, methodology included, at vibgrate.com/cli/benchmarks/token-savings.

Browse all 21+ supported assistants and their skill descriptions at vibgrate.com/skills.

Cut what your assistant re-reads: context compression

Every turn, your AI assistant re-sends the whole conversation β€” including the 20,000-line test log, the 400-row JSON payload, and the grep output it has already acted on. You pay for that context again on every step. Vibgrate CLI compresses tool output and older turns before they reach the model, keeps the originals retrievable on your machine, and reports what it saved.

bash
vg install claude --compress    # point Claude Code at the listener and start it (undo with `vg uninstall claude`)
vg savings                      # tokens and estimated dollars saved, today / 7 days / 30 days

There is no separate command to learn: compression is a mode of the server you already run and a flag on the installer you already use. vg install <agent> --compress writes the agent's own base-URL config, starts the listener in the background (or reuses one already running) and, for Claude Code, adds a SessionStart hook that brings it back after a reboot. vg serve --compress serves the code map and compresses in one foreground process; vg serve --compress --background starts only the listener and returns. For a single session without writing any config, vg serve --compress claude runs one agent through it and restores your environment when it exits. Inside vg code it is already on β€” bulky tool results are compressed before they re-enter the loop, and the model can pull any original back with vg_retrieve.

What it does, in the order it runs:

  • Routes each block by what it is β€” JSON arrays, logs and build output, grep results, diffs, HTML, tables, config files, source code, prose β€” and applies the compressor built for that shape. Errors, ids, stack traces and the lines that match what you asked are always kept.
  • Lossless first. Repeated lines, grep headings and diff index lines fold into byte-reversible markers. Lossy compression runs only when it saves clearly more, and never on file reads or edits, so read-then-edit stays exact.
  • Nothing is lost. Compressed blocks carry a marker; the model (or you, with vg serve retrieve <hash>) can pull back the original or just the slice it needs. Originals live in a short-lived local store β€” nothing is uploaded.
  • Prefix-cache aware. The default cache mode compresses only the newest turn so your provider's prompt cache keeps hitting; token mode compresses everything eligible for the largest saving.
  • Works with any agent. vg install <agent> --compress supports Claude Code, Codex, Cursor, Aider, Copilot, OpenCode, Cline, Continue, Goose, OpenHands, Gemini CLI, Kimi, Grok and more; vg uninstall <agent> restores their config byte-for-byte. Or use the SDK wrappers for the Anthropic, OpenAI and Vercel AI SDK shapes.

Everything runs locally and offline. The listener binds to loopback, forwards your provider credentials untouched, redacts secret shapes before anything is written to disk, and never phones home. vg serve config lists every knob and vg serve config set KEY VALUE changes one.

Tools

vg serve exposes 24 MCP tools (plus two memory tools with --memory):

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
4
Stargazers on the source repository.
Last commit
3d ago
Most recent push to the default branch.
Tools exposed
19
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about AI Context

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "ai-context": { "command": "npx", "args": ["-y","@vibgrate/cli"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 21, 2026
11/11 checks healthy over the last 39d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars4
GitHub Star CountTotal stargazers on GitHub representing community popularity (4 stars).
Last commit3d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 21, 2026
53Quality signal: Good Β· 53/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 5d ago via OSV.dev Β· @vibgrate/cli (npm)

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The official MCP server for AllMCPs.com - submit and manage tools directly from your AI. The open directory for MCP servers. Connect Claude, Cursor, Windsurf, and AI agents to databases, tools, files, and APIs. Explore 10,000+ servers. AllMCPs is the premier, open directory for discovering, evaluating, and installing Model Context Protocol (MCP) servers to equip AI agents and LLMs with real-world superpowers.

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