How to Use the Bing Search MCP in Pydantic AI

Q: Can my Pydantic AI agent search specific domains?

Yes, use the customsearch tool to restrict queries to your whitelisted domains, keeping the search results highly relevant.

Type-safe Bing Search integration for Pydantic AI agents.

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Connect Bing Search MCP to Pydantic AI

Create your Vinkius account to connect Bing Search to Pydantic 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 Pydantic AI

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Type-safe web scraping with Pydantic AI

The `search_web` tool runs organic searches and returns structured data that validates perfectly against your Pydantic models. This MCP Server integrates with Pydantic AI to validate every search response against strict schemas. If the Microsoft Graph returns unexpected fields, Pydantic AI raises a validation error immediately. This prevents malformed search data from corrupting your downstream databases or application state.

Validated entity extraction and knowledge mapping

The `search_entities` tool retrieves rich entity graphs of famous people, places, or objects. The framework validates this MCP context against your Pydantic models before your agent can use it. For media-heavy workflows, the `search_images` tool returns image metadata including pixel dimensions. The framework ensures these dimensions match your expected integer types before rendering them in your frontend.

Structured news and trend validation

The `trending_news` tool discovers macroscopic viral topics without risking runtime errors. By running this MCP Server, your Pydantic AI agent gets clean, timestamped PR articles. If a user submits a messy search query, run it through `spellcheck` first. This tool cleans up the string tokens natively using semantic NLP boundaries before Pydantic AI executes the main search.

Setup guide

Set up Bing Search MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "bing-search-1-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Bing Search tools.",
)

result = await agent.run("List recent Bing Search transactions")
print(result.output)

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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 Pydantic AI

The MCP toolset automatically maps the schemas of tools like `search_web` into Pydantic models, forcing strict runtime type-checking on all returned fields.

Yes, Pydantic AI supports both Streamable HTTP and SSE transports, allowing you to connect to your hosted Vinkius endpoint over a persistent connection.

The framework will fail loudly with a validation error. This prevents your agent from hallucinating or processing corrupted search results.

Yes, use the `custom_search` tool to restrict queries to your whitelisted domains, keeping the search results highly relevant.

Only the search queries, domain whitelists, and language parameters you explicitly pass to this MCP Server are processed. All data is handled in an isolated sandbox and never saved.

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