Bring Agile
to LangChain
Create your Vinkius account to connect PingCode to LangChain and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the PingCode MCP Server?
Empower your AI agent to orchestrate your software development lifecycle with PingCode, the premier agile project management platform for R&D teams. By connecting PingCode to your agent, you transform complex issue tracking, sprint planning, and knowledge management into a natural conversation. Your agent can instantly list your agile projects, create work items, monitor sprint progress, and even retrieve wiki pages without you needing to navigate the complex PingCode dashboard. Whether you are following Scrum or Kanban, your agent acts as a real-time R&D assistant, ensuring your development pipeline is always moving and your documentation is accessible.
What you can do
- Agile Management — List agile projects and get detailed information about your development workspace.
- Work Item Control — Create and track tasks, stories, and bugs with full support for descriptions and metadata.
- Sprint & Release Tracking — Monitor active sprints and upcoming releases to stay on top of your delivery schedule.
- Knowledge Management — Browse wiki repositories and retrieve page content to access project documentation instantly.
- Team Overview — List organization teams and members to manage collaboration and assignments effectively.
How it works
- Subscribe to this server
- Enter your PingCode Client ID and Client Secret
- Start managing your agile workflow through Claude, Cursor, or any MCP-compatible client
Who is this for?
- Software Developers — manage your work items and update progress directly from your AI-powered development environment.
- Product Owners — track sprint velocity, audit backlogs, and monitor release readiness through natural language.
- Agile Coaches — oversee multiple team workflows and organizational structures through a unified AI interface.
- DevOps Engineers — integrate project management data into your automated pipelines and AI-driven insights.
Built-in capabilities (10)
Create a work item
Get project details
Get wiki page content
List organization members
List PingCode agile projects
List project releases
List project sprints
List organization teams
List wiki pages
List work items in a project
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with PingCode through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
- —
The largest ecosystem of integrations, chains, and agents. combine PingCode MCP tools with 500+ LangChain components
- —
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
- —
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
- —
Memory and conversation persistence let agents maintain context across PingCode queries for multi-turn workflows
PingCode in LangChain
Why run PingCode with Vinkius?
The PingCode connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect PingCode using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
PingCode and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect PingCode to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
PingCode for LangChain
Every request between LangChain and PingCode is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
How do I find my PingCode Client ID and Secret?
Log in to the PingCode Enterprise Backend, navigate to [Credential Management] (凭据管理), and create a new application. Your Client ID and Client Secret will be generated there.
Can I create different types of work items like bugs or stories?
Yes. When using create_work_item, you can specify the type parameter (e.g., 'task', 'story', 'bug') to ensure the item is correctly categorized in your agile project.
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.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
Explore More MCP Servers
View all →
Cube.dev
15 toolsAccess your Cube semantic layer — execute queries, inspect generated SQL, manage pre-aggregations, and explore data metadata directly.
DeepSource
14 toolsAutomate code quality monitoring via DeepSource — analyze issues, vulnerabilities, metrics, and report cards directly from any AI agent.
WeCom / 企业微信
10 toolsEnterprise communication and management platform — manage departments, users, and messages via AI.
Snowtrace (Avalanche Explorer)
21 toolsExplore the Avalanche C-Chain — check AVAX balances, track ERC-20/NFT transfers, and inspect smart contract data directly from your AI agent.