# MCP Server Semgrep

> Use this tool when you need to analyze code for security vulnerabilities and quality improvements through a conversational interface. It integrates Semgrep static analysis with AI assistants, providing advanced code analysis and recommendations for improvement. Ideal for developers and teams seeking to enhance code security and quality through automated static analysis and AI-driven insights.

Canonical page: https://skillsregistry.net/skills/vetcoders-mcp-server-semgrep  
JSON: https://api.skillsregistry.net/v1/skills/vetcoders-mcp-server-semgrep

## Description

A Model Context Protocol compliant server that integrates Semgrep static analysis tool with AI assistants like Anthropic Claude, enabling advanced code analysis, security vulnerability detection, and code quality improvements through a conversational interface.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uddu737c4c)
- **Repository:** <https://github.com/vetcoders/mcp-server-semgrep>

## 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": "vetcoders-mcp-server-semgrep"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vetcoders-mcp-server-semgrep` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vetcoders-mcp-server-semgrep/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