# SpiderFoot MCP Server

> Use this tool when you need to streamline open-source intelligence (OSINT) reconnaissance and automate scan management. It solves problems related to data collection, analysis, and reporting by providing a unified interface to manage scans, retrieve data, and export results. The SpiderFoot MCP Server takes in natural language inputs and scan configurations, and outputs scan data, event types, and modules, making it ideal for security researchers and analysts.

Canonical page: https://skillsregistry.net/skills/corbettcajun-spiderfoot-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/corbettcajun-spiderfoot-mcp-server

## Description

Enables interaction with SpiderFoot OSINT reconnaissance tools through MCP, allowing users to manage scans, retrieve modules and event types, access scan data, and export results. Supports both starting new scans and analyzing existing reconnaissance data through natural language.

## Trust

- **Trust score (0–1):** 0.17
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gnipmh2lug)
- **Repository:** <https://github.com/CorbettCajun/Spiderfoot-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": "corbettcajun-spiderfoot-mcp-server"
    }
  }
}
```

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