Bring Task Management
to Vercel AI SDK
Learn how to connect Infinity 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 Infinity MCP Server?
Connect your Infinity account to any AI agent and manage projects through natural conversation.
What you can do
- Workspace Management — List all workspaces in your organization
- Board Navigation — Browse boards within workspaces and inspect their structure
- Folder Organization — Navigate folder hierarchies within boards
- Attribute Schema — View all custom attributes and fields configured on boards
- Item Management — List, create, update, and delete items (tasks/records) within boards
- Data Access — Read item field values and metadata
How it works
- Subscribe to this server
- Enter your Infinity Access Token
- Start managing projects from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Project Managers — create tasks, update statuses, and organize boards through AI
- Teams — manage work items without switching to the dashboard
- Operations — automate task creation and tracking workflows
Built-in capabilities (12)
Verify Infinity API connectivity
Values must map to attribute IDs. Add a new item to a board
Get authenticated user info
List board attributes (fields)
List folders in a board
Supports filtering by folder. List all tasks/items in a board
List active webhooks for a board
List comments on an item
List boards in a workspace
List all workspaces
Delete an item from a board
Modify an existing item
Why Vercel AI SDK?
The Vercel AI SDK gives every Infinity 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
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Infinity integration everywhere
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Built-in streaming UI primitives let you display Infinity 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
Infinity in Vercel AI SDK
Infinity and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Infinity 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 Infinity in Vercel AI SDK
The Infinity 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
Infinity for Vercel AI SDK
Every tool call from Vercel AI SDK to the Infinity MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I create and manage tasks through the AI agent?
Yes. Use create_board_item to add new items to any board, list_board_items to browse existing items, update_board_item to modify fields and status, and delete_board_item to remove items. Use list_board_attributes to see available fields.
Can I navigate workspaces, boards, and folders?
Yes. Use list_workspaces → list_workspace_boards → list_board_folders to navigate the hierarchy. Each level provides IDs needed for the next level and for item management.
Can I view custom fields and attributes on boards?
Yes. list_board_attributes retrieves all custom attributes (fields) configured on a board, including field type, options, and default values. This helps understand the data structure before creating or updating items.
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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