Vercel AI SDKSDK

Treblle MCP Server

Bring Api Monitoring
to Vercel AI SDK

Name: Treblle MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect Treblle to Vercel AI SDK and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Ingest Api Data

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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_data tool.
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)

ingest_api_data

Sensitive fields (passwords, CCs, SSNs) are automatically masked before transmission. Send API request/response data to Treblle

Why Vercel AI SDK?

The Vercel AI SDK gives every Treblle tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

—
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
—
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Treblle integration everywhere
—
Built-in streaming UI primitives let you display Treblle tool results progressively in React, Svelte, or Vue components
—
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

See it in action

Treblle in Vercel AI SDK

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Treblle and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Treblle to Vercel AI SDK 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.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	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

Unlock for AI Agents View step-by-step setup guide for Vercel AI SDK →

Enterprise Security

Why teams choose Vinkius for Treblle in Vercel AI SDK

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 Vercel AI SDK 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.

Unlock for AI Agents View full Treblle details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures
Treblle for Vercel AI SDK

Every tool call from Vercel AI SDK to the Treblle MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

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 the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Explore More MCP Servers

View all →

Precisely

10 tools

Equip your AI with precise location intelligence — geocode addresses, resolve property risks, calculate local taxes, and analyze demographics globally.