# Codex++ Project Home

> Use this tool when you need to manage issues and tasks within projects using a kanban-style approach, and integrate with team collaboration tools like Linear. It provides a range of tools for creating, updating, and searching issues, as well as managing columns and adding comments. Ideal for development teams seeking to streamline project management and collaboration workflows.

Canonical page: https://skillsregistry.net/skills/b-nnett-codex-plusplus  
JSON: https://api.skillsregistry.net/v1/skills/b-nnett-codex-plusplus

## Description

Codex++ Project Home is a Node.js MCP server that provides kanban-style issue and task management within projects. It exposes 11 tools for creating, reading, updating, and deleting issues, managing columns, searching tasks, and adding comments. The server includes a Linear GraphQL sync tool that pushes project issues to Linear for team collaboration. It uses stdio transport and is designed to integrate with the Codex++ development environment.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/b-nnett-codex-plusplus)
- **Repository:** <https://github.com/b-nnett/codex-plusplus-project-home>

## 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": "b-nnett-codex-plusplus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/b-nnett-codex-plusplus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/b-nnett-codex-plusplus/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