TrueFoundry MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect TrueFoundry through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"truefoundry": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "TrueFoundry Agent",
instructions:
"You help users interact with TrueFoundry " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with TrueFoundry?"
);
console.log(result.text);
}
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:
Mastra's agent abstraction provides a clean separation between LLM logic and TrueFoundry tool infrastructure. Connect 8 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
- 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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the TrueFoundry MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from TrueFoundry via MCP
Why Use Mastra AI with the TrueFoundry MCP Server
Mastra AI provides unique advantages when paired with TrueFoundry through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add TrueFoundry without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every TrueFoundry tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
TrueFoundry + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the TrueFoundry MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query TrueFoundry, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed TrueFoundry as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query TrueFoundry on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using TrueFoundry tools alongside other MCP servers
TrueFoundry MCP Tools for Mastra AI (8)
These 8 tools become available when you connect TrueFoundry to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting TrueFoundry to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpTrueFoundry + Mastra AI FAQ
Common questions about integrating TrueFoundry MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.