Bring Agile
to LangChain
Create your Vinkius account to connect Plane to LangChain and start using all 6 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 Plane MCP Server?
Equip any AI agent with direct access to your Plane workspace. Whether you're using Plane Cloud or self-hosting, your AI assistant can seamlessly retrieve projects, analyze agile cycles, and parse the active issues pipeline without forcing you to click through kanban boards manually.
What you can do
- Projects & Core Entities — Extract isolated project architectures spanning across your Workspace, pulling high-fidelity descriptions and status parameters.
- Agile Cycles (Sprints) — Command the agent to list and structure your active development cycles, evaluating timelines and completion statuses.
- Work Items (Issues) — Perform deep sweeps over tasks and explicit tickets inside boundary states, analyzing what your engineering team is actually building.
- Modules & Taxonomy — Read epics (modules) and static categorization labels dictating your issue pipelines.
How it works
- Install this integration onto your agent layer
- Provide your Plane Personal API Key (and optionally, your self-hosted API URL)
- Start fetching sprints and active cycles immediately from Cursor, Claude, or any MCP client
Who is this for?
- Project Managers — instantly retrieve all pending tasks in the current cycle (
list_cycles&list_work_items) and summarize progress dynamically. - Lead Engineers — inspect the ticket backlog without leaving your IDE; write code and verify module requirements consecutively.
- Product Teams — cross-reference structured modules versus labels without dealing with the visual planner interface.
Built-in capabilities (6)
Get specific details of a Plane project
List cycles inside a Plane project
List project labels in Plane
List modules inside a Plane project
List projects in a Plane workspace
List work items (issues) inside a Plane project
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Plane through native MCP adapters. Connect 6 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 Plane MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Plane queries for multi-turn workflows
Plane in LangChain
Why run Plane with Vinkius?
The Plane 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 6 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 Plane using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Plane and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Plane 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
Plane for LangChain
Every request between LangChain and Plane 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
Can my AI automatically aggregate all open issues inside our active sprint?
Yes. First, request the active iteration window by calling list_cycles. The agent will isolate today's active cycle bounds. Following that, it will invoke list_work_items directly constrained by that cycle object, outputting an exhaustive summary of untouched or blocking tickets.
How does the agent handle custom workspace slugs or self-hosted URLs?
The system dynamically accepts a PLANE_BASE_URL credential. If you are doing an on-premise installation running inside your homelab or company AWS cloud, you merely inject your private domain (e.g., https://plane.internal.acme.com). The workspace slug is seamlessly accepted as a contextual execution parameter during standard query prompts.
Can I request specific details of a long-term module (epic)?
You can instruct the agent to execute list_modules. It extracts the cross-functional epics spanning your workspace project. Your AI can read these top-level module architectures to contextually understand what the core functionality of the project repository aims to achieve.
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
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