Bring Issue Tracking
to Vercel AI SDK
Learn how to connect Plane Alternative to Vercel AI SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Plane Alternative MCP Server?
Connect your Plane workspace to any AI agent to streamline your open-source project management. Take full control of your project lifecycle and feature configurations through natural language.
What you can do
- Project Lifecycle — List all projects in a workspace, create new ones with custom identifiers, or retrieve specific project details instantly.
- Feature Management — Dynamically enable or disable project modules such as Epics, Cycles, Modules, Pages, and Intakes to suit your team's workflow.
- Workspace Organization — Keep your workspace clean by archiving, unarchiving, or deleting projects that are no longer active.
- Project Metadata — Update project names, descriptions, and lead assignments without leaving your conversation or code editor.
How it works
- Subscribe to this server
- Enter your Plane API Key
- Start managing your agile workflows from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Product Managers — Quickly spin up new projects and configure necessary features like Epics or Cycles for upcoming sprints.
- Engineering Leads — Audit project settings and archive completed work directly from the terminal or chat interface.
- DevOps Teams — Automate project creation and workspace maintenance as part of larger organizational workflows.
Built-in capabilities (12)
Archive a project
Create a new project
Create a project label
Delete a project
Retrieve a specific project
) are enabled for a project. Get project features
Get a specific project label
List project labels
List all projects in a workspace
Unarchive a project
Update an existing project
Update project features
Why Vercel AI SDK?
The Vercel AI SDK gives every Plane Alternative tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Plane Alternative integration everywhere
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Built-in streaming UI primitives let you display Plane Alternative tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Plane Alternative in Vercel AI SDK
Plane Alternative and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Plane Alternative to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Plane Alternative in Vercel AI SDK
The Plane Alternative MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Plane Alternative for Vercel AI SDK
Every tool call from Vercel AI SDK to the Plane Alternative MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I enable or disable specific features like Epics or Cycles for a project?
Yes! You can use the update_project_features tool to toggle capabilities including epics, modules, cycles, views, pages, and intakes for any specific project.
How do I see all the projects currently active in my workspace?
Simply use the list_projects tool by providing your workspace slug. The agent will return a list of all projects, including their names and identifiers.
Is it possible to archive a project that is no longer needed?
Yes, you can use the archive_project tool to move a project to the archive. If you change your mind, you can also use unarchive_project to bring it back.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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