Integrate TrueFoundry with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiTruefoundry deploy mcp server on TrueFoundry
Spawn a new backend container logical process using TrueFoundry service mesh
Truefoundry generate embeddings on TrueFoundry
Calculate semantic vectors securely using the unifed abstraction
Truefoundry get deployment status on TrueFoundry
Emit detailed metric states on the orchestration matrix bounds
Truefoundry get mcp server info on TrueFoundry
Extract exact JSON metadata of one registered TrueFoundry tool schema
Truefoundry list deployments on TrueFoundry
Monitor the existing array of running backend topologies mapped to the team
Truefoundry list gateway models on TrueFoundry
List all accessible foundation models from the TrueFoundry unified AI gateway
Truefoundry list mcp servers on TrueFoundry
Extract registry mapping of all available logical MCP Tools in TrueFoundry
Truefoundry run gateway chat on TrueFoundry
g., openai/gpt-4o) mapping the true chat parameter to the gateway. Perform inference explicitly pushing a model query string through TrueFoundry
Security & Code Integrity Audit
Every tool in the TrueFoundry MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
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.
Triggering TrueFoundry via Natural Language
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the TrueFoundry MCP server to manage operations across the following domains.
The Future of llm gateway
The TrueFoundry toolkit provides AI native integration for llm gateway. It structures data so Claude Code can accurately process ai frontier requirements.
LLM Orchestration for model orchestration
Integrate TrueFoundry to access native model orchestration capabilities. This allows LLMs to perform secure, deterministic execution of ai frontier tasks without hard-coded API scripts.
TrueFoundry. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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