How to Use the Glob Pattern Tester MCP in LangChain

Q: Can I trace Glob Pattern Tester inputs inside LangChain using LangSmith?

Yes, every call to the testglob tool is fully logged within your LangSmith dashboard. You see the exact file paths and patterns your agent evaluated, along with execution latency.

Test file path matching inside your LangChain reasoning loops using the exact glob matching engine behind git and npm.

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Connect Glob Pattern Tester MCP to LangChain

Create your Vinkius account to connect Glob Pattern Tester to LangChain 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 Glob Pattern Tester with LangChain

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Validate CI paths in LangChain chains

The `test_glob` tool lets your LangChain agent run file path matches using standard npm rules directly inside your execution chains. Your agent calls this tool to verify if a modified file belongs to a specific deployment directory before triggering downstream pipeline steps. By feeding the output of one step as the input to the next, your chain makes real-time decisions about code paths. You get complete execution tracing in LangSmith, showing the exact pattern evaluated and the resulting match boolean.

Filter dynamic file lists inside LangChain agents

The `test_glob` tool allows your LangChain agent to filter massive lists of repository paths using standard gitignore rules. Instead of writing custom regex, the agent feeds raw file paths into the matching engine to isolate test files or source code. This integration prevents your agent from processing unwanted files in multi-step reasoning runs. The agent automatically discards non-matching paths based on the boolean result, keeping your token usage low and your context clean.

Run the Glob Pattern Tester MCP Server locally

The `test_glob` tool runs locally within a secure sandbox, giving your LangChain agent direct access to path-matching operations without exposing your actual directory structure. You connect the MCP server using the standard HTTP transport adapter and register the tool in your agent constructor. This setup isolates the evaluation logic from your main application runtime. Your agent safely tests wildcards and recursive directory patterns, receiving instant true-or-false responses without executing arbitrary shell commands.

Setup guide

Set up Glob Pattern Tester MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Glob Pattern Tester tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "glob-pattern-tester-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Glob Pattern Tester transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Glob Pattern Tester MCP in LangChain

Initialize the MCP client using the HTTP transport adapter and pass the retrieved tools directly to your agent constructor. Your LangChain agent then invokes `test_glob` whenever it needs to evaluate path patterns.

Yes, the server uses standard minimatch rules, which support recursive directory searches like double asterisks. Your LangChain agent passes these patterns directly to `test_glob` to evaluate complex repository structures.

Yes, every call to the `test_glob` tool is fully logged within your LangSmith dashboard. You see the exact file paths and patterns your agent evaluated, along with execution latency.

The engine returns a standard error object containing the specific parsing failure. Your agent receives this error message and can attempt to correct the glob pattern before retrying the match.

The MCP server processes your file paths and glob patterns inside a zero-trust sandbox without reading your actual hard drive. No file contents or path structures ever leave the local execution environment.

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