# forency-mcp

> forency-mcp — cheevahagadog-forency-mcp. Use this tool when you need to investigate a website's technology stack, as it provides an MCP server for Forency that allows AI assistants to analyze and identify the technologies used on any website, taking website URLs as input and outputting detailed technology stack information, ideal for use cases such as competitive research and tech scouting.

Canonical page: https://skillsregistry.net/skills/cheevahagadog-forency-mcp  
JSON: https://api.skillsregistry.net/v1/skills/cheevahagadog-forency-mcp

## Description

MCP server for Forency — let your AI assistant investigate any website's technology stack.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/cheevahagadog/forency-mcp)

## 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": "cheevahagadog-forency-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cheevahagadog-forency-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cheevahagadog-forency-mcp/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