Integrate Arize AI with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiGet dataset on Arize AI
Get a specific evaluation dataset
Get metrics on Arize AI
Fetch observability metrics for an ML model
Get model on Arize AI
It defines the inputs, outputs, and features. Get details and metadata for a specific tracked model
Ingest log on Arize AI
payload_json must contain valid Arize payload structures. Ingest raw telemetry logs into Arize
List datasets on Arize AI
List static evaluation datasets
List environments on Arize AI
g., Production, Training, Verification) used to segregate model inferences and baseline datasets. List configured environments within Arize
List evals on Arize AI
g., Toxicity, Hallucination, PII filtering). List automated evaluation runs
List models on Arize AI
List tracked ML models or LLMs
List spaces on Arize AI
Spaces separate different models and telemetry datasets. List accessible workspaces within the Arize platform
Run eval on Arize AI
Trigger a custom LLM evaluation run
Security & Code Integrity Audit
Every tool in the Arize AI 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 set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
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 can I quickly check if a production model is experiencing data drift?
Just tell your agent: 'Fetch the primary metrics for model X'. The AI uses the get_metrics query to immediately surface latency degradation, prediction drift flags, and incoming data quality indexes without opening the browser.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
What can AI Agents do with Arize AI?
We map standard API endpoints to agent-compatible instructions. Connect Arize AI to execute these core functional operations.
Optimizing ml observability with Claude
Connect your AI agent to Arize AI for comprehensive ml observability coverage. The integration features standard schemas for reliable ai frontier tool execution.
Scaling llm evaluation via MCP
Add llm evaluation functionality to your custom chatbots. The Arize AI MCP handles the payload formatting required for ChatGPT and Claude to interface with ai frontier endpoints.
Arize AI. 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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