ValueSERP MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect ValueSERP through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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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({
"valueserp": {
"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 ValueSERP, 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 ValueSERP MCP Server
Connect your ValueSERP account to any AI agent and integrate highly scalable, reliable, and real-time Google search data parsing into your conversational flow, bypassing CAPTCHAs and blocks.
LangChain's ecosystem of 500+ components combines seamlessly with ValueSERP through native MCP adapters. Connect 10 tools via the 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
- Comprehensive Google Search — Perform rapid programmatic queries across Google Organic, Images, News, Videos, and Scholar straight from your agent's interface.
- E-Commerce & Local SEO — Access raw Google Places and Google Shopping data to analyze competitor margins, finding ratings, coordinates, and product price shifts.
- Intent Discovery — Retrieve predictive Google Autocomplete suggestions and 'People Also Ask' related snippets to understand semantic search behavior.
- Advanced SERP Queries — Execute highly customized parameter inputs targeting specific granular geolocation bounds (gl), language codes (hl), and synthetic device overrides.
The ValueSERP MCP Server exposes 10 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 ValueSERP to LangChain via MCP
Follow these steps to integrate the ValueSERP 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 10 tools from ValueSERP via MCP
Why Use LangChain with the ValueSERP MCP Server
LangChain provides unique advantages when paired with ValueSERP through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine ValueSERP 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 ValueSERP queries for multi-turn workflows
ValueSERP + LangChain Use Cases
Practical scenarios where LangChain combined with the ValueSERP MCP Server delivers measurable value.
RAG with live data: combine ValueSERP tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query ValueSERP, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain ValueSERP tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every ValueSERP tool call, measure latency, and optimize your agent's performance
ValueSERP MCP Tools for LangChain (10)
These 10 tools become available when you connect ValueSERP to LangChain via MCP:
custom_serp_search
Provide parameters as a JSON object. Executes a highly customized Google search with advanced parameters
get_related_questions
Retrieves "People Also Ask" questions and answers from Google
get_search_suggestions
Retrieves predictive search suggestions from Google autocomplete
google_image_search
Returns direct URLs to image files. Searches for images on Google
google_news_search
Searches for news articles on Google
google_places_search
Provide a place name and location. Searches for local businesses and places on Google Maps
google_scholar_search
Searches for academic publications and abstracts on Google Scholar
google_search
Provide a query string and optional location. Performs a standard Google search for organic results
google_shopping_search
Returns product names, prices, and merchant links. Searches for products and prices on Google Shopping
google_video_search
Searches for video content on Google
Example Prompts for ValueSERP in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with ValueSERP immediately.
"Search Google Scholar for recent papers on 'quantum computing error correction'."
"Find the top business ratings for 'pizza places in Chicago' using Google Places."
"Check Google Autocomplete suggestions when someone types 'how to start a'."
Troubleshooting ValueSERP MCP Server with LangChain
Common issues when connecting ValueSERP to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersValueSERP + LangChain FAQ
Common questions about integrating ValueSERP 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 ValueSERP 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 ValueSERP to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.