Bring Multi Agent Systems
to Vercel AI SDK
Learn how to connect Relevance AI to Vercel AI SDK and start using 11 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 Relevance AI MCP Server?
Connect your Relevance AI account to any AI agent and take full control of your autonomous AI workforce and tool orchestration through natural conversation. Relevance AI provides a world-class platform for building and scaling multi-agent systems, and this integration allows you to trigger autonomous agents, execute custom studios (tools), and monitor long-running task histories directly from your chat interface.
What you can do
- Agent & Workforce Orchestration — List all available autonomous agents and trigger them to perform specific goals with dynamic inputs programmatically.
- Studio & Tool Intelligence — Access and monitor your custom AI 'Studios' and execute them with complex parameters directly from the AI interface.
- Task Lifecycle Management — Retrieve real-time progress for background tasks and monitor final outputs to ensure your autonomous workflows are always synchronized.
- Knowledge & RAG Control — List and search through your agent's knowledge base items and datasets via natural language.
- Operational Monitoring — Track system activity and manage regional deployments using simple AI commands.
How it works
- Subscribe to this server
- Enter your Relevance AI Region Code (e.g., bcbe5a) and API Key
- Start managing your autonomous AI teams from Claude, Cursor, or any MCP-compatible client
No more manual dashboard refreshing for task results. Your AI acts as a dedicated orchestrator for your entire agentic infrastructure.
Who is this for?
- AI Operations Managers — quickly retrieve task summaries and monitor agent deployments without switching tabs.
- Automation Engineers — automate the triggering of complex multi-agent workflows via natural conversation.
- Developers — integrate real-time task results and studio execution into custom business architectures.
Built-in capabilities (11)
Permanently delete a task record
Get metadata for an agent
Get details for a knowledge base
Check status and results of a task
List recent agent tasks
List all AI agents
List all agent execution history
List knowledge base items
List all studios/tools
Start an agent task
Execute a specific tool (Studio)
Why Vercel AI SDK?
The Vercel AI SDK gives every Relevance AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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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 Relevance AI integration everywhere
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Built-in streaming UI primitives let you display Relevance AI 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
Relevance AI in Vercel AI SDK
Relevance AI and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Relevance AI 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 Relevance AI in Vercel AI SDK
The Relevance AI 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 11 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
Relevance AI for Vercel AI SDK
Every tool call from Vercel AI SDK to the Relevance AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically trigger another autonomous agent in Relevance AI?
Yes! Use the trigger_agent tool. Provide the agent_id and the user message/goal, and your agent will initiate the autonomous workflow in your Relevance account instantly.
How do I find my Region Code and API Key?
The Region Code is in your dashboard URL (e.g., bcbe5a). For the API Key, log in to Relevance AI, navigate to Settings > API Keys, and generate a new secret key.
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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