# contextforge-mcp

> contextforge-mcp — capatinore-contextforge-mcp. Use this tool when you need to streamline AI coding workflows by integrating codebase indexing, token compression, and spec-driven development. It solves problems of inefficient coding pipelines and limited AI agent capabilities, enabling faster and more accurate code generation. The contextforge-mcp tool takes in code specifications and outputs optimized, indexed codebases for AI agents to work with.

Canonical page: https://skillsregistry.net/skills/capatinore-contextforge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/capatinore-contextforge-mcp

## Description

Orchestrates codebase indexing, token compression, and spec-driven development into a single MCP pipeline for AI coding agents.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gn7fmewtcv)
- **Repository:** <https://github.com/capatinore/contextforge-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": "capatinore-contextforge-mcp"
    }
  }
}
```

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