CrewAI Platform MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CrewAI Platform through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using CrewAI Platform, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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
About CrewAI Platform MCP Server
Connect your CrewAI Platform (AMP) account to any AI agent and take full control of your autonomous multi-agent orchestration through natural conversation.
The Vercel AI SDK gives every CrewAI Platform tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Crew Management — List all deployed multi-agent workflows and extract pure JSON blueprints mapping the complete agent graph topology
- Autonomous Kickoffs — Activate multi-agent processing immediately by triggering crews with dynamic JSON inputs to start complex workflows
- Live Run Monitoring — Retrieve disconnected physical states of active executions, tracking agents as they complete sequential or parallel tasks
- Agent & Task Auditing — Enumerate isolated role-playing agents and globally registered modular operations to verify backstories and expected outcomes
- Execution Control — Dispatch instant interrupt signals to hard-stop active runs and manage internal LLM context boundaries
- Webhook Oversight — Inspect exact validation criteria for async results and monitor where Crew outcomes post standard JSON boundaries
The CrewAI Platform MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect CrewAI Platform to Vercel AI SDK via MCP
Follow these steps to integrate the CrewAI Platform MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from CrewAI Platform and passes them to the LLM
Why Use Vercel AI SDK with the CrewAI Platform MCP Server
Vercel AI SDK provides unique advantages when paired with CrewAI Platform through the Model Context Protocol.
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 CrewAI Platform integration everywhere
Built-in streaming UI primitives let you display CrewAI Platform tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
CrewAI Platform + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CrewAI Platform MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CrewAI Platform in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CrewAI Platform tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CrewAI Platform capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CrewAI Platform through natural language queries
CrewAI Platform MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect CrewAI Platform to Vercel AI SDK via MCP:
cancel_run
Inspect deep internal arrays mitigating specific Plan Math
get_agent
Enumerate explicitly attached structured rules exporting active Billing
get_crew
Perform structural extraction of properties driving active Account logic
get_run_status
Retrieve explicit Cloud logging tracing explicit Vault limits
get_task
Identify precise active arrays spanning native Gateway auth
kickoff_crew
Provision a highly-available JSON Payload generating hard Customer bindings
list_agents
Irreversibly vaporize explicit validations extracting rich Churn flags
list_crews
Identify bounded CRM records inside the Headless CrewAI Platform
list_tasks
Dispatch an automated validation check routing explicit Gateway history
list_webhooks
Identify precise active arrays spanning native Hold parsing
Example Prompts for CrewAI Platform in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CrewAI Platform immediately.
"List all crews in my account"
"Kickoff crew 'crew_abc' with input: {'topic': 'AI Trends 2024'}"
"What is the backstory of agent 'agent_789'?"
Troubleshooting CrewAI Platform MCP Server with Vercel AI SDK
Common issues when connecting CrewAI Platform to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCrewAI Platform + Vercel AI SDK FAQ
Common questions about integrating CrewAI Platform MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect CrewAI Platform with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect CrewAI Platform to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.