Compatible with every major AI agent and IDE
What is the Treblle MCP Server?
Connect your Treblle account to your AI agent to streamline API monitoring and observability. This server allows you to send API traffic data directly to Treblle, helping you maintain high-quality documentation and security standards.
What you can do
- API Ingestion — Send full request and response payloads to your Treblle dashboard using the
ingest_api_datatool. - Observability — Monitor API performance and errors in real-time as your agent processes or simulates traffic.
- Automatic Masking — Ensure security with Treblle's built-in masking for sensitive fields like passwords and credit card numbers.
- Custom Metadata — Attach trace IDs, user IDs, or environment identifiers to your ingested data for better filtering.
How it works
- Subscribe to this server
- Enter your Treblle API Key and SDK Token
- Start ingesting API data directly from your conversation or automated workflows
Who is this for?
- Backend Developers — quickly log and debug API interactions without manual instrumentation
- DevOps Engineers — monitor API health and traffic patterns directly from the terminal or AI assistant
- QA Engineers — capture and report API errors with full context during testing phases
Built-in capabilities (1)
Sensitive fields (passwords, CCs, SSNs) are automatically masked before transmission. Send API request/response data to Treblle
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Treblle tool infrastructure. Connect 1 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.
- —
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Treblle without touching business code
- —
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 Treblle 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
Treblle in Mastra AI
Treblle and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Treblle 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 Treblle in Mastra AI
The Treblle 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 1 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
Treblle for Mastra AI
Every tool call from Mastra AI to the Treblle 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 send API traffic data to my Treblle dashboard?
Use the ingest_api_data tool. You need to provide the JSON payload containing the server, request, and response information as defined in the Treblle schema.
Is my sensitive data like passwords or credit cards safe when ingesting?
Yes. Treblle automatically masks sensitive fields (passwords, CCs, SSNs) before the data is transmitted and stored, ensuring compliance and security.
Can I add custom identifiers like a trace-id to the ingested data?
Absolutely. You can use the optional metadata parameter in the ingest_api_data tool to include flat key-value pairs like trace-id, user-id, or env-id.
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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