Grepsr MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Grepsr through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"grepsr": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Grepsr, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Grepsr MCP Server
Connect your Grepsr account to any AI agent and take full control of your managed web scraping operations. Use natural language to trigger on-demand crawls, monitor data delivery schedules, and retrieve structured datasets directly into your workflow.
LangChain's ecosystem of 500+ components combines seamlessly with Grepsr through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Report Orchestration — List all your reports and crawlers and retrieve specific configuration details natively
- Live Data Retrieval — Query and resolve structured records from specific reports or run histories flawlessly
- On-Demand Crawling — Trigger manual crawl runs for any report to refresh your datasets synchronously
- Execution Monitoring — Track the status and record counts of crawl histories to audit data quality flawlessly
- Webhook Management — Setup and audit webhooks to notify your internal systems as soon as new data is ready natively
- Integration Visibility — List active data delivery integrations including S3, SFTP, and cloud storage providers synchronously
The Grepsr MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Grepsr to LangChain via MCP
Follow these steps to integrate the Grepsr MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from Grepsr via MCP
Why Use LangChain with the Grepsr MCP Server
LangChain provides unique advantages when paired with Grepsr through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Grepsr MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Grepsr queries for multi-turn workflows
Grepsr + LangChain Use Cases
Practical scenarios where LangChain combined with the Grepsr MCP Server delivers measurable value.
RAG with live data: combine Grepsr tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Grepsr, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Grepsr tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Grepsr tool call, measure latency, and optimize your agent's performance
Grepsr MCP Tools for LangChain (12)
These 12 tools become available when you connect Grepsr to LangChain via MCP:
create_webhook
Configure a new webhook URL for a report
get_latest_data
Retrieve the most recent scraped dataset for a report
get_me
Get details for the current Grepsr account
get_report_data
Query scraped records from a specific report
get_report_details
Get metadata and configuration for a specific report
get_report_history
Retrieve the execution history (runs) for a specific report
get_usage_stats
Check account API usage and request limits
list_integrations
List active data delivery integrations (e.g. S3, SFTP)
list_projects
List all scraping projects
list_reports
List all reports and crawlers in your Grepsr account
list_webhooks
List webhooks configured for a specific report
run_report
Trigger an on-demand crawl for a specific report
Example Prompts for Grepsr in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Grepsr immediately.
"List my web scraping reports in Grepsr"
"Trigger a manual crawl for report ID 104"
"Show me the 5 most recent records from the 'Real Estate Listings' report"
Troubleshooting Grepsr MCP Server with LangChain
Common issues when connecting Grepsr to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGrepsr + LangChain FAQ
Common questions about integrating Grepsr MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Grepsr with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Grepsr to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.