# Sensegrep

> Use this tool when you need to efficiently search and understand complex codebases, as it solves problems of tedious manual code review and debugging by providing a semantic and structural code search interface that takes in natural language queries and returns relevant code snippets, ideal for AI-native development workflows. It indexes codebases and supports local embeddings or Gemini-powered search for advanced meaning-based queries. This enables developers to quickly find specific code patterns, functions, or variables, streamlining their development process.

Canonical page: https://skillsregistry.net/skills/stahldavid-sensegrep  
JSON: https://api.skillsregistry.net/v1/skills/stahldavid-sensegrep

## Description

Combines semantic and structural code search for AI-native development workflows. Indexes codebases and enables meaning-based queries alongside traditional structural patterns, with support for local embeddings or Gemini-powered search.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/stahldavid-sensegrep)
- **Repository:** <https://github.com/stahldavid/sensegrep>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "stahldavid-sensegrep"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stahldavid-sensegrep` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stahldavid-sensegrep/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt