Integrate PingCode with Claude, Cursor, Chatbots & AI Agents MCP Server

Q: Does this server support wiki documentation?

Yes. You can use listwikipages to browse through your documentation repositories and getwikipage to retrieve the content of specific pages for your AI agent to read.

Agile project management and R&D collaboration platform — manage work items, sprints, and wiki pages via AI.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

create

Create work item on PingCode

Create a work item

get

Get project on PingCode

Get project details

get

Get wiki page on PingCode

Get wiki page content

list

List members on PingCode

List organization members

list

List projects on PingCode

List PingCode agile projects

list

List releases on PingCode

List project releases

list

List sprints on PingCode

List project sprints

list

List teams on PingCode

List organization teams

list

List wiki pages on PingCode

List wiki pages

list

List work items on PingCode

List work items in a project

Security & Code Integrity Audit

Every tool in the PingCode MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Does this server support wiki documentation?

Yes. You can use list_wiki_pages to browse through your documentation repositories and get_wiki_page to retrieve the content of specific pages for your AI agent to read.

What happens if the underlying API rate limits my agent?

Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.

How does the AI access my passwords and credentials?

It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

Triggering PingCode via Natural Language

This integration supports direct MCP execution, enabling your chatbots to query and modify data within these specific environments.

LLM Orchestration for agile

The PingCode toolkit provides secure access to agile functions. It enables conversational agents to manage developer tools settings deterministically.

Scaling sprint planning via MCP

Deploy the PingCode toolkit to manage sprint planning. The integration offers robust endpoints for ChatGPT to control developer tools settings.