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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
instalabsai avatar

Instagit

instalabsai/instagit
17authSTDIOregistry active
Summary

Connects Claude to Instagit's repository analysis API through a single `ask_repo` tool. Point it at any GitHub repo using owner/repo shorthand or full Git URL, ask a natural language question about the codebase, and get back AI analysis with file paths and line numbers. The pitch is that agents can read actual source code instead of guessing from docs or stale training data. Works anonymously out of the box with auto-registered tokens, or bring your own API key from instagit.com for higher limits. Useful when you need an agent to understand library internals before generating integration code, debug across dependency boundaries, or evaluate unfamiliar codebases without hallucinating patterns.

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Ask Instagit

Instagit

Let Your Agents Instantly Understand Any GitHub Repo

An MCP server that gives coding agents instant insight into any Git repository — no guessing, no hallucination.

Quick Start

Agentic Install

Share the following with your agent to get started:

curl -s https://instagit.com/install.md

Manual Install

Add to your MCP client configuration:

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}

Install MCP Server

Works with Claude Code, Claude Desktop, Cursor, OpenClaw, and any MCP-compatible client. The @latest tag ensures you always get the most recent version.

Why

Agents that integrate with external libraries are flying blind. They read docs (if they exist), guess at APIs, and hallucinate patterns that don't match the actual code. The result: broken integrations, wrong function signatures, outdated usage patterns, hours of debugging.

When an agent can actually analyze the source code of a library or service it's integrating with, everything changes. It sees the real function signatures, the actual data flow, the patterns the maintainers intended. Integration becomes dramatically easier and less error-prone because the agent is working from ground truth, not guesses.

What Agents Can Do With This

  • Integrate with any library correctly the first time — "How do I set up authentication with this SDK?" gets answered from the actual code, not outdated docs or training data. Your agent sees the real constructors, the real config options, the real error types.
  • Migrate between versions without the guesswork — Point your agent at both the old and new version of a library. It can diff the actual implementations and generate a migration plan that accounts for every breaking change.
  • Debug issues across repository boundaries — When a bug spans your code and a dependency, your agent can read both codebases and trace the issue to its root cause — even into libraries you've never opened.
  • Generate integration code that actually works — Instead of producing plausible-looking code that fails at runtime, your agent writes integration code based on the real API surface: actual method names, actual parameter types, actual return values.
  • Evaluate libraries before committing — "Should we use library A or B?" Your agent can analyze both implementations, compare their approaches to error handling, test coverage, and architectural quality, and give you a grounded recommendation.
  • Onboard to unfamiliar codebases in minutes — Point your agent at any repo and ask how things work. It answers from the code itself, with file paths and line numbers, not from memory that may be months out of date.

Features

  • Agent-native context — Purpose-built for coding agents. Returns the exact context an AI needs to understand, modify, and reason about code.
  • Architectural truth — Goes beyond keyword search. Understands how components connect, why decisions were made, and where the real complexity lives.
  • Any repo, any scale — From weekend projects to massive monorepos. Public and private repositories, any Git host.
  • Exact source citations — Every claim traced back to specific files and line numbers. No hallucination, no hand-waving.

Configuration

Environment Variables

VariableDescriptionDefault
INSTAGIT_API_KEYAPI key from instagit.comAuto-registers anonymous token
INSTAGIT_API_URLCustom API endpointProduction API

Authenticated Usage

Sign up at instagit.com for higher rate limits and faster analysis:

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"],
      "env": {
        "INSTAGIT_API_KEY": "ig_your_api_key_here"
      }
    }
  }
}

Anonymous Usage

No API key required — the server automatically registers an anonymous token on first use. Anonymous tokens are stored in ~/.instagit/token.json and shared with the Python MCP server.

Tool: ask_repo

Analyze any Git repository with AI.

Parameters:

ParameterTypeRequiredDescription
repostringyesRepository URL, shorthand (owner/repo), or any public Git URL
promptstringyesWhat to analyze or ask about the codebase
refstringnoBranch, commit SHA, or tag (default: repository's default branch)

Example prompts:

  • "Explain the architecture and main components"
  • "Review the authentication implementation for security issues"
  • "How would I add a new API endpoint following existing patterns?"
  • "What would it take to upgrade from React 17 to 18?"

Requirements

  • Node.js 18+

License

MIT — Copyright (c) 2026 Instalabs, LLC


Learn more at instagit.com

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Configuration

INSTAGIT_API_KEYsecret

API key from instagit.com for higher rate limits and faster analysis

Categories
Developer Tools
Registryactive
Packageinstagit
TransportSTDIO
AuthRequired
UpdatedFeb 8, 2026
View on GitHub

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