TrueFoundry MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect TrueFoundry through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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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 TrueFoundry, 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 TrueFoundry MCP Server
What you can do
Connect AI agents to TrueFoundry's dual-architecture matrix encompassing both an AI Gateway and a Deployment Orchestrator:
The Vercel AI SDK gives every TrueFoundry tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- Route LLM prompts securely utilizing a unified endpoint connecting to OpenAI, Anthropic, Gemini, Llama, and more
- Manage LLM Embeddings mapping strings flawlessly through secure unified channels
- Discover Gateway Models identifying exact runtime limitations and contexts
- Orchestrate MCP Containers deploying new AI server topology straight onto infrastructure limits
- Monitor Active Deployments generating status, usage array metrics, and isolation limits natively
- List MCP Schemas utilizing the managed TrueFoundry MCP discovery engine array
- Execute Chat streams dynamically routing user contexts purely bound without touching distinct API keys
The TrueFoundry MCP Server exposes 8 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 TrueFoundry to Vercel AI SDK via MCP
Follow these steps to integrate the TrueFoundry 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 8 tools from TrueFoundry and passes them to the LLM
Why Use Vercel AI SDK with the TrueFoundry MCP Server
Vercel AI SDK provides unique advantages when paired with TrueFoundry 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 TrueFoundry integration everywhere
Built-in streaming UI primitives let you display TrueFoundry 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
TrueFoundry + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the TrueFoundry MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query TrueFoundry in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate TrueFoundry tools and return structured JSON responses to any frontend
Chatbots with tool use: embed TrueFoundry capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with TrueFoundry through natural language queries
TrueFoundry MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect TrueFoundry to Vercel AI SDK via MCP:
truefoundry_deploy_mcp_server
Spawn a new backend container logical process using TrueFoundry service mesh
truefoundry_generate_embeddings
Calculate semantic vectors securely using the unifed abstraction
truefoundry_get_deployment_status
Emit detailed metric states on the orchestration matrix bounds
truefoundry_get_mcp_server_info
Extract exact JSON metadata of one registered TrueFoundry tool schema
truefoundry_list_deployments
Monitor the existing array of running backend topologies mapped to the team
truefoundry_list_gateway_models
List all accessible foundation models from the TrueFoundry unified AI gateway
truefoundry_list_mcp_servers
Extract registry mapping of all available logical MCP Tools in TrueFoundry
truefoundry_run_gateway_chat
g., openai/gpt-4o) mapping the true chat parameter to the gateway. Perform inference explicitly pushing a model query string through TrueFoundry
Example Prompts for TrueFoundry in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with TrueFoundry immediately.
"List all active AI models supported natively inside my TrueFoundry gateway access instance."
"Trigger a chat payload pushing to 'openai-gpt4o' via TrueFoundry querying semantic structures bounding limits."
"Deploy the 'supabase-mcp' node-image natively mapping strict variables onto my cluster runtime boundaries."
Troubleshooting TrueFoundry MCP Server with Vercel AI SDK
Common issues when connecting TrueFoundry to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTrueFoundry + Vercel AI SDK FAQ
Common questions about integrating TrueFoundry 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 TrueFoundry 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 TrueFoundry to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.