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How to Use the Glob Pattern Tester MCP in Pydantic AI

Bring type-safe glob validation to your Pydantic AI agent workflows with this MCP Server.

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Pydantic AI

Connect Glob Pattern Tester MCP to Pydantic AI

Create your Vinkius account to connect Glob Pattern Tester 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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Validate match results with the `test_glob` tool

The `test_glob` tool checks if a specific file path matches a glob pattern. It returns a clean boolean response that integrates directly with your type-safe agent schemas. Because Pydantic AI validates every response at runtime, you can ensure your agent receives a structured boolean without any silent failures or hallucinated data. This keeps your code reliable and easy to debug.

Enforce strict CI filters in Pydantic AI

The `test_glob` tool lets your agent check whether a file is excluded before making any changes. If your agent is writing code or managing pull requests, it must respect your project's build rules. This prevents the agent from editing files that are ignored by git or your CI configuration. You get strict, deterministic guardrails for your codebase.

Connect this MCP Server with zero configuration

The `test_glob` tool is registered using the unified `MCPToolset` class pointing to the Vinkius URL. You do not need to manage complex configurations to register this MCP Server. The tool schema is automatically parsed, allowing your agent to call the matching logic with correct arguments every time. If the agent sends a bad path, the framework fails loudly.

Setup guide

Set up Glob Pattern Tester MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "glob-pattern-tester-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Glob Pattern Tester transactions")
print(result.output)

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Common questions about Glob Pattern Tester MCP in Pydantic AI

Install the library using `pip install "pydantic-ai-slim[mcp]"`. Pass the server URL to `MCPToolset` and include it in your agent's `toolsets` list.
The `test_glob` tool uses the exact minimatch algorithm used by npm and git, ensuring your agent matches paths exactly like your build tools do. It avoids the need to write complex regex patterns.
No, MCPServerHTTP is deprecated. You should use the unified `MCPToolset` constructor to connect to this server.
Yes, the `test_glob` tool supports recursive directory matching using the standard double asterisk pattern. This is perfect for matching deep nested files.
The server only receives the file path strings and glob patterns you send it. This data is processed in a secure, ephemeral sandbox and is deleted immediately after the match is calculated.

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