Autobidder MCP Server for Mastra AIGive Mastra AI instant access to 10 tools to Check Autobidder Status, Create Request, Get Bid, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Autobidder through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Autobidder app connector for Mastra AI is a standout in the Marketing Automation category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { 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: {
"autobidder": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Autobidder Agent",
instructions:
"You help users interact with Autobidder " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Autobidder?"
);
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 Autobidder MCP Server
Connect your Autobidder account to any AI agent and take full control of your project bidding orchestration and automated response workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Autobidder tool infrastructure. Connect 10 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
- Bid Portfolio Orchestration — List and manage all incoming bid requests and tenders programmatically, retrieving detailed technical metadata
- Response & Quote Intelligence — Programmatically query and monitor active project bids to maintain a perfectly coordinated revenue overview
- Win Rate Architecture — Access your complete directory of past bids and outcomes to oversee your organizational performance in real-time
- Deadline Monitoring — Access real-time status updates for bid deadlines and track submission progress directly through your agent for instant reporting
- Operational Monitoring — Verify account-level API connectivity and monitor bid orchestration volume directly through your agent for perfectly coordinated service scaling
The Autobidder MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Autobidder tools available for Mastra AI
When Mastra AI connects to Autobidder through Vinkius, your AI agent gets direct access to every tool listed below — spanning bid-management, ad-spend, tender-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify AutoBidder API connectivity
Create a bid request
Get bid details
Get outcome details
Get your profile
Get request details
List all bids
List all bid outcomes
List all projects
List all bid requests
Connect Autobidder to Mastra AI via MCP
Follow these steps to wire Autobidder into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the 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 Autobidder MCP Server
Mastra AI provides unique advantages when paired with Autobidder through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Autobidder 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 Autobidder 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
Autobidder + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Autobidder MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Autobidder, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Autobidder as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Autobidder on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Autobidder tools alongside other MCP servers
Example Prompts for Autobidder in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Autobidder immediately.
"List all active bid requests in my Autobidder account."
"Show the win rate for 'Team Alpha' last month."
"Check for any bid deadlines approaching this week."
Troubleshooting Autobidder MCP Server with Mastra AI
Common issues when connecting Autobidder to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpAutobidder + Mastra AI FAQ
Common questions about integrating Autobidder 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.