# Sensegrep

> Use this tool when you need to perform advanced code searches that leverage semantic and structural analysis. Sensegrep solves problems related to finding specific code patterns, vulnerabilities, or dependencies within large codebases, and provides outputs in a machine-readable format. It is ideal for AI-native development, allowing for seamless integration with AI agents and automated development workflows.

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

## Description

Semantic + structural code search MCP server for AI-native development.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.20
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-20

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Stahldavid%2Fsensegrep)
- **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": "io-github-stahldavid-sensegrep"
    }
  }
}
```

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

---
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