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MCP server · RAG

Karp Inspector Lite

Claude Desktop extension with semantic code search, grep, file outlines & diffs. Local embeddings, zero API keys, one-click install.

34Low

Scored 6 months ago · breakdown

About Karp Inspector Lite

Karp Inspector Lite is an MCP server in the RAG category: claude Desktop extension with semantic code search, grep, file outlines & diffs. Local embeddings, zero API keys, one-click install.

Install

From source
git clone https://github.com/souldriver007/karp-inspector-lite

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (9)

file_diffDiff between two snapshots of a file, or compare against the current live file.

Parameters not published.

file_historyList saved snapshots of a file with timestamps and sizes.

Parameters not published.

file_outlineStructural outline of any file — classes, methods, functions with signatures and line numbers — without loading content.

Parameters not published.

grep_codeExact string or regex search — variable names, imports, error messages. For concepts, use `search_code`.

Parameters not published.

index_projectIndex or re-index the project. Run before first `search_code` use. Loads from disk cache in under a second on subsequent runs.

Parameters not published.

project_statsIndex statistics — files, chunks, extensions. Use to verify the project is indexed and check coverage.

Parameters not published.

reindex_fileRe-index a single file after editing to keep search results current. Saves a snapshot for version tracking.

Parameters not published.

search_codeSemantic search by meaning — *"authentication logic"*, *"payment handling"*. For exact strings, use `grep_code`.

Parameters not published.

set_projectSwitch to a different project directory. Loads cached index if available, otherwise run `index_project`.

Parameters not published.

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README

KARP Inspector Lite

One-Click Semantic Codebase Search for Claude Desktop

Version: 1.0.0 Author: SoulDriver (Adelaide, Australia) License: MIT


What Is This?

KARP Inspector Lite gives Claude the ability to search your entire codebase by meaning, not just filenames. Ask Claude "find the login logic" and it returns the exact functions — with file paths and line numbers.

Zero API keys. Zero setup. Zero dependencies. One click.

Claude Desktop ships with Node.js built in. This extension uses it — nothing else to install.

Your code never leaves your machine. Everything runs locally.

Installation

Option A: Download the Extension (Recommended)

  1. Download karp-inspector-lite.mcpb from Releases
  2. Open Claude Desktop → Settings → Extensions → Install Extension
  3. Select the .mcpb file
  4. Choose your project folder when prompted
  5. Say: "Index my project"
  6. Start searching naturally

That's it. No terminal. No config files. No installs.

Option B: Manual Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "karp-inspector": {
      "command": "node",
      "args": ["C:/path/to/Karp_Inspector_Lite/server/index.js"],
      "env": {
        "PROJECT_PATH": "C:/path/to/your/project"
      }
    }
  }
}

Option C: Claude Code

claude mcp add karp-inspector -- node /path/to/server/index.js

Or add .mcp.json to your project root:

{
  "mcpServers": {
    "karp-inspector": {
      "command": "node",
      "args": ["/path/to/Karp_Inspector_Lite/server/index.js"],
      "env": { "PROJECT_PATH": "." }
    }
  }
}

What Can It Do?

Just ask Claude... What happens
"Find the authentication logic" Semantic search across your codebase
"Find every call to validateToken" Exact string grep with context
"Show me the structure of server.py" File outline — classes, functions, line numbers
"Index my project" Builds searchable index (~60s first time, instant after)
"What changed in auth.js?" Diff between saved file versions
"Switch to my other project" Loads a different codebase (with cached index)

Examples

Example 1: Find code by concept

User prompt: "Find the payment processing logic in my project"

Expected behavior:

  • Extension runs search_code with semantic query
  • Returns matching functions with file paths and line numbers
  • Results ranked by relevance (cosine similarity score)
  • Claude can then read or explain the matched code

Example 2: Search for exact strings

User prompt: "Find every file that imports the database module"

Expected behavior:

  • Extension runs grep_code for the import pattern
  • Returns matching lines with 2 lines of surrounding context
  • Shows file path and line number for each match
  • Supports regex for complex patterns

Example 3: Understand file structure

User prompt: "What functions are in server.py?"

Expected behavior:

  • Extension runs file_outline on the target file
  • Returns all classes, methods, and functions with signatures
  • Includes line numbers for each definition
  • Does not load full file contents into context

Example 4: Track changes

User prompt: "I just edited auth.js — update the index and show me what changed"

Expected behavior:

  • Extension runs reindex_file to update the index and save a snapshot
  • Then runs file_diff to compare against the previous version
  • Returns unified diff showing additions and deletions

Example 5: Multi-project workflow

User prompt: "Switch to my frontend project at C:/projects/webapp"

Expected behavior:

  • Extension runs set_project with the new path
  • Loads cached index if previously indexed (instant)
  • If no cache, prompts to run index_project
  • Previous project’s cache is preserved for switching back

Tools (9)

Tool Description
search_code Semantic search by meaning — "authentication logic", "payment handling". For exact strings, use grep_code.
grep_code Exact string or regex search — variable names, imports, error messages. For concepts, use search_code.
file_outline Structural outline of any file — classes, methods, functions with signatures and line numbers — without loading content.
index_project Index or re-index the project. Run before first search_code use. Loads from disk cache in under a second on subsequent runs.
reindex_file Re-index a single file after editing to keep search results current. Saves a snapshot for version tracking.
file_history List saved snapshots of a file with timestamps and sizes.
file_diff Diff between two snapshots of a file, or compare against the current live file.
project_stats Index statistics — files, chunks, extensions. Use to verify the project is indexed and check coverage.
set_project Switch to a different project directory. Loads cached index if available, otherwise run index_project.

How It Works

  1. Index — Reads your code files, splits them into meaningful chunks (functions, classes, sections), and creates vector embeddings using a local ONNX model
  2. Cache — Saves the index to disk so restarts are instant (0.07s vs 60s)
  3. Search — Converts your question into a vector and finds the closest matching code chunks via cosine similarity
  4. Return — Claude gets back the relevant code with file paths and line numbers, not your entire codebase

The embedding model (~130MB) downloads automatically on first use. After that, everything works offline.

Performance

Scenario Time
First index (261 files, with model download) ~66s
Restart, no changes (cache load) 0.07s
Restart, 5 files changed ~3s
Semantic search <1s
Grep search Instant
Project switching (cached) Instant

Supported Languages

Python, JavaScript, TypeScript, HTML, CSS, Markdown, and plain text out of the box. Add more via the EXTRA_EXTENSIONS environment variable.

Parsing quality:

Language Parser Quality
JavaScript / TypeScript Acorn AST Excellent — full function/class extraction
Python Regex + indentation Good — handles classes, functions, decorators, multi-line signatures
HTML Script/style extraction Good — extracts embedded JS/CSS blocks
CSS / Markdown / Text Section-based chunking Good — splits on headers and logical breaks

Requirements

  • Claude Desktop (Windows or macOS) — that's it
  • ~130MB disk for the embedding model (downloaded once, automatically)
  • No Python, no Docker, no API keys, no external services

Building from Source

git clone https://github.com/souldriver007/karp-inspector-lite.git
cd karp-inspector-lite
npm install
npm test                    # Run test suite (13 tests)
node scripts/build_mcpb.js  # Build .mcpb extension

The built extension will be at dist/karp-inspector-lite.mcpb.

Project Structure

karp-inspector-lite/
├── server/
│   ├── index.js        # MCP protocol handler + tool router
│   ├── indexer.js       # File discovery, chunking, embedding, caching
│   └── searcher.js      # Vector search, grep, outline, diff, stats
├── config/
│   └── manifest.json    # MCPB extension manifest
├── assets/
│   └── icon.png         # SoulDriver branding (256x256)
├── scripts/
│   └── build_mcpb.js    # Extension packager
├── tests/
│   └── run_tests.js     # Test suite
├── docs/
│   ├── DESIGN_DOC.md    # Architecture decisions
│   └── CHANGELOG.md     # Version history
├── package.json
├── LICENSE              # MIT
└── README.md            # This file

How Is This Different?

Tool API Keys External Services Install Complexity Model Size
Zilliz Claude Context OpenAI + Zilliz Milvus Cloud High Cloud
claude-context-local None FAISS + Python + CUDA High 1.2GB
mcp-codebase-index Gemini + Qdrant Qdrant Cloud + Gemini High Cloud
Codebase MCP Ollama PostgreSQL + pgvector Very High Varies
KARP Inspector Lite None None Double-click 130MB

Key differentiators:

  • Zero API keys — ONNX embeddings run locally
  • Zero external services — in-memory vector store
  • Zero Python — Node.js ships with Claude Desktop
  • One-click .mcpb install — no terminal, no config editing
  • Disk persistence — instant restart, no re-indexing
  • Multi-project support — switch between codebases with cached indexes
  • 9 tools — search, grep, outline, diff, history, stats, index, reindex, project switching

Privacy Policy

KARP Inspector Lite is fully local. No data is collected, transmitted, or shared.

  • No telemetry, analytics, or tracking
  • No network requests after initial model download
  • No API keys or external services
  • Your code never leaves your machine
  • Cache and snapshots stored locally in .karp-inspector/

Full privacy policy: PRIVACY.md

Support

For issues, bugs, or feature requests:

Contributing

Issues and PRs welcome. See CONTRIBUTING.md for guidelines.

License

MIT — see LICENSE for details.


Built in Adelaide, Australia by SoulDriver Part of the KARP ecosystem — Knowledge Acquisition Research Protocol Democratising access to intelligent tools.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Karp Inspector Lite

How do I install Karp Inspector Lite?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Karp Inspector Lite safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Karp Inspector Lite still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.