# PingCode MCP

> Use this tool when you need to manage and read PingCode project work items, such as defects and requirements, in a natural language interface. It solves problems of manual project item management and enables seamless integration with clients like Cursor, Claude Code, and Codex. By using PingCode MCP, users can input natural language queries and receive relevant project item information as output.

Canonical page: https://skillsregistry.net/skills/frontendricky-pingcode-mcp  
JSON: https://api.skillsregistry.net/v1/skills/frontendricky-pingcode-mcp

## Description

Enables natural language reading and management of PingCode project work items (defects and requirements) through Cursor, Claude Code, Codex, and other clients.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iff3ydxz9p)
- **Repository:** <https://github.com/frontendRicky/pingcode-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": "frontendricky-pingcode-mcp"
    }
  }
}
```

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

---
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