AddSearch MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect AddSearch 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({
"addsearch": {
"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 AddSearch, 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 AddSearch MCP Server
Connect your AddSearch account to your AI agent and turn your site's search index into an interactive, manageable database. Perfect for content teams and developers who need to audit site search performance without opening dashboards.
LangChain's ecosystem of 500+ components combines seamlessly with AddSearch through native MCP adapters. Connect 10 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
- Deep Search — Query your indexed content using natural language, apply custom field filters (e.g. "category=shoes"), or sort by custom variables
- Document Management — List all indexed pages, import new content directly via JSON, or permanently delete outdated documents from the index
- Search Analytics — Retrieve live statistics on user queries, identifying top searches, zero-result queries, and click-through rates
- Frontend Emulation — Test your auto-suggestions and pagination just like a real user interacting with your search bar
The AddSearch 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 AddSearch to LangChain via MCP
Follow these steps to integrate the AddSearch 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 AddSearch via MCP
Why Use LangChain with the AddSearch MCP Server
LangChain provides unique advantages when paired with AddSearch through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine AddSearch 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 AddSearch queries for multi-turn workflows
AddSearch + LangChain Use Cases
Practical scenarios where LangChain combined with the AddSearch MCP Server delivers measurable value.
RAG with live data: combine AddSearch tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query AddSearch, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain AddSearch tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every AddSearch tool call, measure latency, and optimize your agent's performance
AddSearch MCP Tools for LangChain (10)
These 10 tools become available when you connect AddSearch to LangChain via MCP:
autosuggest
Get autocomplete suggestions
delete_document
Requires Secret Key. Permanently delete a document
index_document
Requires Secret Key. Add or update an indexed document
list_documents
Requires Secret Key. List all indexed documents
search_filtered
g., "category=shoes", "brand=nike"). Search indexed content by custom field
search_keyword
Search indexed content by keyword
search_pagination
Retrieve a specific page of search results
search_sorted
Search indexed content with custom sort
stats_clicks
Requires Secret Key. Retrieve click-through analytics
stats_queries
Requires Secret Key. Retrieve search query analytics
Example Prompts for AddSearch in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with AddSearch immediately.
"Show me the top search queries that resulted in 0 hits."
"Search my site for "pricing updates" filtered by category=news."
"Test the auto-suggest for the prefix "shoe"."
Troubleshooting AddSearch MCP Server with LangChain
Common issues when connecting AddSearch to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAddSearch + LangChain FAQ
Common questions about integrating AddSearch 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 AddSearch 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 AddSearch to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.