# Exploit-DB MCP Server

> Use this tool when you need to streamline penetration testing workflows by integrating Exploit-DB's vast repository of exploits, shellcodes, and proof-of-concept code with AI assistants. It solves problems related to manual exploit searching and CVE mapping, providing users with efficient keyword search and direct CVE-to-exploit mapping capabilities. With inputs of keywords or CVE IDs and outputs of relevant technical security data, this tool is ideal for use during vulnerability assessment and penetration testing scenarios.

Canonical page: https://skillsregistry.net/skills/johnohhh1-exploitdb-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/johnohhh1-exploitdb-mcp-server

## Description

Integrates the Exploit-DB database with AI assistants to enable searching for exploits, shellcodes, and proof-of-concept code during penetration testing workflows. It allows users to perform keyword searches and direct CVE-to-exploit mappings to retrieve technical security data.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n049a1u07x)
- **Repository:** <https://github.com/johnohhh1/exploitdb-mcp-server>

## 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": "johnohhh1-exploitdb-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/johnohhh1-exploitdb-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/johnohhh1-exploitdb-mcp-server/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
