How to Use the Grepsr MCP in LangChain

Q: How do I pass Grepsr tools to a LangChain agent?

Install langchain-mcp-adapters to connect your agent to the MCP Server. Initialize the client, call gettools(), and pass that list directly to your agent constructor.

Q: Can LangChain handle long-running Grepsr crawls?

Yes. Your LangChain agent can trigger a crawl using runreport and then enter a polling loop checking getreporthistory until the status changes.

Q: Can I run multiple Grepsr projects in a single chain?

Yes, your agent calls listreports to map out your crawlers and chains them sequentially using their unique IDs.

Run web scraping pipelines and feed extracted data directly into your LangChain chains without writing custom API polling code.

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Connect Grepsr MCP to LangChain

Create your Vinkius account to connect Grepsr 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 Grepsr with LangChain

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Chain Live Scraping Runs with LangChain

`run_report` starts a fresh crawl directly from your LangChain agent when a user requests fresh data. Your agent monitors the run using `get_report_history` to verify completion before moving to the next step in the chain. LangChain's ReAct pattern lets the agent decide when to poll and when to fetch. Once the run finishes, the chain pulls the payload using `get_latest_data` and feeds it directly into your prompt templates or vector stores.

Trace Grepsr Extraction Costs in LangSmith

`get_usage_stats` lets your agent check your remaining Grepsr run limits before initiating a heavy scrape. This prevents broken chains caused by hitting account caps mid-execution. LangSmith tracks these tool calls to show you the exact latency and token cost of every scraping run on this MCP Server. You see exactly how much data `get_report_data` pulled and how many tokens it consumed during the chain run.

Automate Multi-Project Delivery Pipelines

`list_projects` allows your LangChain agent to find the right target project dynamically based on user input. The agent then checks `list_integrations` to verify where the scraped data will land. If you need instant notifications, the agent uses `create_webhook` to wire up a callback URL. The chain handles the entire setup, execution, and verification without manual intervention.

Setup guide

Set up Grepsr 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 Grepsr 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({
    "grepsr-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 Grepsr transactions"
    })
    print(result["messages"][-1].content)

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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 Grepsr. 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 Grepsr MCP in LangChain

Install `langchain-mcp-adapters` to connect your agent to the MCP Server. Initialize the client, call `get_tools()`, and pass that list directly to your agent constructor.

Yes. Your LangChain agent can trigger a crawl using `run_report` and then enter a polling loop checking `get_report_history` until the status changes.

LangSmith automatically captures every tool execution. It shows you the inputs to `get_report_data` and the raw JSON payload returned.

Yes, your agent calls `list_reports` to map out your crawlers and chains them sequentially using their unique IDs.

Vinkius runs the server in an isolated sandbox where your API keys are injected securely at runtime. Your raw credentials never pass through the LLM or touch your local environment.

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