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Connect TrueFoundry to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Manage model deployments and LLM routing from one secure interface.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 8 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 8 available through TrueFoundry.

  1. 01

    Truefoundry generate embeddings

    This capability calculates semantic vectors using the unified abstraction layer.

  2. 02

    Truefoundry get mcp server info

    Use this to pull the specific JSON metadata for a registered TrueFoundry capability schema.

  3. 03

    Truefoundry list gateway models

    This capability returns a list of all foundation models currently available through your TrueFoundry gateway.

  4. 04

    Truefoundry list mcp servers

    This capability retrieves the registry mapping for all logical MCP capabilities within the TrueFoundry environment.

Capability set02 / 02

05-08

4 capabilities in this set.

Part of 8 available through TrueFoundry.

  1. 05

    Truefoundry deploy mcp server

    This capability spawns a new backend container process using the TrueFoundry service mesh.

  2. 06

    Truefoundry get deployment status

    Use this to get detailed metric states and orchestration bounds for your active deployments.

  3. 07

    Truefoundry list deployments

    This capability monitors the array of running backend topologies assigned to your team.

  4. 08

    Truefoundry run gateway chat

    This capability executes model queries by pushing chat payloads through the gateway to specific models.

Real work

What teams actually run

01

Multi-Model Switching

Switch between different foundation models by changing a single parameter in your gateway request.

02

Secure Model Proxying

Route all agent requests through a proxy to prevent leaking sensitive credentials to external providers.

03

Automated Capability Scaling

Deploy new MCP capabilities as backend containers whenever your agent needs a new capability.

04

Infrastructure Monitoring

Check the health and resource bounds of your active AI deployments in one place.

Automate a task

Put TrueFoundry to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

TrueFoundry works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put TrueFoundry to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

943ms average. Fast in production.

TrueFoundry is checked daily against the live service.

Daily averagePeak 992ms
Oct 12Today
Fastest day
785ms
Slowest day
992ms
14-day trend
Slowing+23%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 8 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of TrueFoundry, so you can see the experience inside your AI.

It does not authenticate your account with TrueFoundry. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

TrueFoundry Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_f00nYwHsDWFv4EirgRZbXCnvKYC62empWE9xeumU/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — TrueFoundry capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "truefoundry-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_f00nYwHsDWFv4EirgRZbXCnvKYC62empWE9xeumU/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up TrueFoundry in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work TrueFoundry owners hand off.

This MCP is built for technical teams managing production AI workloads who need to move away from fragmented API management.

  • 01

    Platform Operations

    They use this to manage container deployments and monitor infrastructure limits.

  • 02

    AI Engineers

    They use the gateway to route prompts and manage embeddings without handling multiple API keys.

  • 03

    Software Architects

    They use the unified plane to design secure, scalable AI pipelines.

FAQ

Questions TrueFoundry owners ask.

  • 01

    How does this MCP handle security?

    It uses a proxy architecture that routes prompts through a unified endpoint, which keeps your original vendor API keys isolated from your application code.

  • 02

    Can I deploy new capabilities using this MCP?

    Yes, you can use the truefoundry_deploy_mcp_server capability to spawn new backend container processes using the TrueFoundry service mesh.

  • 03

    Which models can I access?

    You can access any foundation models supported by the TrueFoundry gateway, such as OpenAI, Anthropic, Gemini, and Llama.

  • 04

    How do I see if my deployments are running correctly?

    You can use truefoundry_list_deployments to see all running topologies or truefoundry_get_deployment_status for specific metric states.

  • 05

    Do I need to manage my own Kubernetes clusters?

    The MCP handles the orchestration of containers through the TrueFoundry service mesh, bypassing the need for manual container management.

  • 06

    Can I route conversational streams directly via the AI agent using the Universal Gateway?

    Yes! You can orchestrate inferences parsing run_gateway_chat providing dedicated string formats mapping natively any enabled model.

  • 07

    Is it possible to monitor crashed services or container states?

    Absolutely. Target the instance ID and emit get_deployment_status explicitly bounding execution limits and fetching live log matrices.

  • 08

    Are the deployment configuration variables isolated upon server launch?

    Yes, using deploy_mcp_server dynamically provisions encapsulated boundaries. You stringify environment tokens seamlessly obscuring values into active runtimes only.

Explore

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