Bring Ml Observability
to LlamaIndex
Learn how to connect Arize AI to LlamaIndex and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Arize AI MCP Server?
Connect your Arize AI account to any AI agent and take full control of your machine learning observability and automated model monitoring workflows through natural conversation.
What you can do
- Project & Trace Orchestration — List and monitor active ML tracing projects programmatically, retrieving detailed high-fidelity execution spans and telemetry data in real-time
- Dataset Lifecycle Management — Programmatically create and manage datasets for model evaluation and validation to maintain a perfectly coordinated ML infrastructure
- Experiment Monitoring — Access and track ML experiments to understand high-fidelity model performance, drift, and data quality across different environments
- Model Intelligence Discovery — Retrieve detailed metadata for specific ML models to coordinate your organizational AI strategy directly through your agent
- Operational Monitoring — Access account-level settings and verify API connectivity directly through your agent for instant performance reporting
How it works
1. Subscribe to this server
2. Retrieve your API Key from your Arize dashboard (Settings > API)
3. Start orchestrating your ML observability pipeline from Claude, Cursor, or any MCP client
No more manual logging into observability portals to check model drift or trace spans. Your AI acts as your dedicated ML engineer and observability coordinator.
Who is this for?
- ML Engineers — instantly retrieve span details and analyze model traces using natural language commands
- Data Scientists — monitor experiment results and manage datasets for validation without leaving your creative workspace
- AI Developers — automate the oversight of LLM and ML model health through simple AI queries
Built-in capabilities (6)
Create a dataset
Get model details
List datasets
List experiments
List projects
List spans
Why LlamaIndex?
LlamaIndex agents combine Arize AI tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Arize AI tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Arize AI tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Arize AI, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Arize AI tools were called, what data was returned, and how it influenced the final answer
Arize AI in LlamaIndex
Arize AI and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Arize AI to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Arize AI in LlamaIndex
The Arize AI 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Arize AI for LlamaIndex
Every tool call from LlamaIndex to the Arize AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Arize API Key?
Log in to your account, navigate to Settings > API, and generate or copy your unique secret key.
Can I track model drift via AI?
Yes! Use the list_experiments tool to retrieve data on active model evaluations and track performance variations programmatically.
How do I retrieve telemetry traces?
Use the list_spans tool to retrieve high-fidelity execution spans and traces for your ML projects directly from the platform.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Arize AI tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp