Bring Prometheus
to Mastra AI
Learn how to connect Prometheus to Mastra AI and start using 14 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Prometheus MCP Server?
Connect your Prometheus instance to any AI agent and transform your observability data into actionable insights through natural conversation.
What you can do
- Instant & Range Queries — Evaluate complex PromQL expressions for real-time status or historical trends over specific time windows.
- Metric Discovery — Find time series matching specific label selectors and explore available labels and their values across your environment.
- Metadata Inspection — Retrieve detailed metadata about metrics scraped from targets to understand units, types, and help text.
- Admin Operations — Create data snapshots, delete specific series, and clean tombstones (requires admin API enabled).
- System Status — Inspect your Prometheus configuration, flags, and runtime information to ensure your monitoring stack is healthy.
How it works
- Subscribe to this server
- Enter your Prometheus Server URL (and optional Auth Token)
- Start querying your metrics from Claude, Cursor, or any MCP-compatible client
No more manual dashboard building just to answer a quick question about system health. Your AI acts as a dedicated SRE or DevOps engineer.
Who is this for?
- SRE & DevOps Engineers — instantly troubleshoot incidents by querying metrics and checking configurations without leaving the terminal or chat.
- Backend Developers — verify service performance and resource consumption directly from the code editor.
- Platform Teams — automate infrastructure health reports and audit monitoring configurations via natural language.
Built-in capabilities (14)
enable-admin-api to be enabled. Remove deleted data from disk
enable-admin-api to be enabled on the Prometheus server. Create a snapshot of all current data
enable-admin-api to be enabled. Delete data for a selection of series in a time range
Find time series matching label selectors
Get all values for a specific label
Get a list of all label names
Get metadata about metrics scraped from targets
Get Prometheus build information
Get the currently loaded Prometheus configuration (YAML)
Get configured Prometheus flag values
Get Prometheus runtime information
Get TSDB cardinality statistics
Evaluate a PromQL expression at a single point in time
Evaluate a PromQL expression over a range of time
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Prometheus tool infrastructure. Connect 14 tools through 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.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Prometheus without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Prometheus tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Prometheus in Mastra AI
Prometheus and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Prometheus to Mastra AI 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 | 4,000+ 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 Prometheus in Mastra AI
The Prometheus 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 14 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra AI 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
Prometheus for Mastra AI
Every tool call from Mastra AI to the Prometheus MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I run a PromQL query to get the current value of a metric?
Yes. Use the query tool to evaluate any PromQL expression at a single point in time. This is perfect for checking current CPU usage, memory levels, or error rates.
How do I see how a metric has changed over the last hour?
Use the query_range tool. You can specify the start and end timestamps along with a step duration to retrieve historical data points for graphing or trend analysis.
Can I perform administrative tasks like creating backups?
Yes, if your Prometheus server has the Admin API enabled (--web.enable-admin-api), you can use the create_snapshot tool to create a snapshot of all current data on disk.
How does Mastra AI connect to MCP servers?
Create an 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?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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