How to Use the Bing Search MCP in Mastra AI

Q: Can I run parallel searches using Mastra AI steps?

You can. Mastra AI allows you to trigger searchimages and searchvideos concurrently in separate workflow steps, merging the media metadata into a single payload once both resolve.

Run complex search workflows with Mastra AI and the Bing Search MCP Server.

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Connect Bing Search MCP to Mastra AI

Create your Vinkius account to connect Bing Search to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Bing Search with Mastra AI

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Build resilient web search workflows in Mastra AI

The `search_web` tool crawls the Microsoft Graph to fetch live organic results directly within your Mastra AI workflows. Workflows fail when external APIs hiccup, but Mastra AI handles this with automatic exponential backoffs. If a query fails, the workflow engine automatically retries the tool. You can even set up conditional branching to fall back to `custom_search` if your primary query returns zero results.

Verify local business data with human approvals

The `search_local` tool extracts precise business listings over standard web nodes for your Mastra AI pipeline. Automated pipelines shouldn't blindly trust web data before updating your database. Your team can review the extracted addresses and phone numbers in their Slack or internal dashboard. Once approved, the workflow resumes and updates your CRM with clean, verified local nodes.

Map entity graphs using Mastra AI state machines

The `search_entities` tool retrieves rich Knowledge Graph mappings to resolve famous people, places, or objects in Mastra AI. Extracting deep knowledge about famous people or places requires structured data. This MCP Server lets your agent store these resolved entity graphs in its workflow context. You can then branch your logic based on whether the entity is a person, place, or object, routing the data to specific database tables.

Setup guide

Set up Bing Search MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Bing Search tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "bing-search-1-mcp-client",
  servers: {
    "bing-search-1-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Bing Search Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Bing Search tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Bing Search transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bing Search. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Bing Search MCP in Mastra AI

Absolutely. You can configure Mastra AI workflows to catch transient errors from `search_web` and retry the call with exponential backoff before failing the run.

Use Mastra AI's human-in-the-loop feature. You can pause the workflow when `search_local` is triggered, prompting an admin to approve the query parameters before hitting the API.

Yes, every tool invocation is tracked. Mastra AI logs execution times and payloads for tools like `search_news`, helping you debug slow queries or identify rate-limiting issues in production.

You can. Mastra AI allows you to trigger `search_images` and `search_videos` concurrently in separate workflow steps, merging the media metadata into a single payload once both resolve.

All queries processed via this MCP Server run in isolated, ephemeral containers. We do not persist your search terms or API payloads, ensuring your proprietary search strings remain private.

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