Treblle MCP Server for Mastra AIGive Mastra AI instant access to 1 tools to Ingest Api Data
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Treblle through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this MCP Server for Mastra AI
The Treblle MCP Server for Mastra AI is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"treblle": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Treblle Agent",
instructions:
"You help users interact with Treblle " +
"using 1 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Treblle?"
);
console.log(result.text);
}
main();
* 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
About 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.
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.
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.
The Treblle MCP Server exposes 1 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 1 Treblle tools available for Mastra AI
When Mastra AI connects to Treblle through Vinkius, your AI agent gets direct access to every tool listed below — spanning api-monitoring, observability, api-analytics, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Ingest api data on Treblle
Sensitive fields (passwords, CCs, SSNs) are automatically masked before transmission. Send API request/response data to Treblle
Connect Treblle to Mastra AI via MCP
Follow these steps to wire Treblle into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Treblle MCP Server
Mastra AI provides unique advantages when paired with Treblle through the Model Context Protocol.
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
TypeScript-native: full type inference for every Treblle tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Treblle + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Treblle MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Treblle, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Treblle as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Treblle on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Treblle tools alongside other MCP servers
Example Prompts for Treblle in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Treblle immediately.
"Ingest this API request and response data into Treblle: { "server": { ... }, "request": { ... }, "response": { ... } }"
"Send this API error payload to Treblle with metadata trace-id 'abc-123'."
"Log a successful GET request to /users into Treblle using the ingest_api_data tool."
Troubleshooting Treblle MCP Server with Mastra AI
Common issues when connecting Treblle to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpTreblle + Mastra AI FAQ
Common questions about integrating Treblle MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
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?
Does Mastra support workflow orchestration?
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