# forgespec-mcp

> Use this tool when you need to manage complex workflows and coordinate multi-agent AI systems through a structured development pipeline. Forgespec-mcp facilitates Spec-Driven Development (SDD) by providing contract validation, task board management, and advisory file locking, solving problems related to dependency tracking and workflow coordination. It takes in development specifications and outputs validated contracts and managed workflows, ideal for use cases involving large-scale AI system development and integration.

Canonical page: https://skillsregistry.net/skills/lleontor705-forgespec-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lleontor705-forgespec-mcp

## Description

Forgespec MCP facilitates Spec-Driven Development (SDD) by providing tools for contract validation, task board management, and advisory file locking. It enables multi-agent AI systems to coordinate complex workflows through a structured nine-phase development pipeline with built-in dependency tracking.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d82fnq8xip)
- **Repository:** <https://github.com/lleontor705/forgespec-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": "lleontor705-forgespec-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lleontor705-forgespec-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lleontor705-forgespec-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