GatherUp MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect GatherUp 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({
"gatherup": {
"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 GatherUp, 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 GatherUp MCP Server
Connect your GatherUp account to any AI agent to automate your review management and customer feedback workflows through the Model Context Protocol (MCP). GatherUp is a powerful platform that helps businesses monitor reputation, collect 1st-party feedback, and showcase 3rd-party reviews from sites like Google and Facebook. This MCP server enables you to track review streams, reply to customers, and trigger automated review requests directly through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with GatherUp 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.
Key Features
- Business Unit Oversight — List all business locations and retrieve high-level configuration metadata for each unit.
- Feedback Management — Access and retrieve first-party feedback left directly by customers via your GatherUp surveys.
- Online Review Tracking — Monitor third-party reviews from Google, Facebook, Yelp, and more in a centralized feed.
- Real-time Interaction — Send replies to both internal feedback and supported external reviews directly from your chat interface.
- Review Request Automation — Trigger new review invites (email/SMS) to specific customers to boost your reputation.
- Contact Management — Add and sync customer profiles to specific business locations programmatically.
- Reputation Metrics — Fetch high-level statistics and sentiment analysis for any business location instantly.
- API Health Monitoring — Verify your connection to the GatherUp v2 API environment seamlessly.
The GatherUp 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 GatherUp to LangChain via MCP
Follow these steps to integrate the GatherUp 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 GatherUp via MCP
Why Use LangChain with the GatherUp MCP Server
LangChain provides unique advantages when paired with GatherUp through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine GatherUp 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 GatherUp queries for multi-turn workflows
GatherUp + LangChain Use Cases
Practical scenarios where LangChain combined with the GatherUp MCP Server delivers measurable value.
RAG with live data: combine GatherUp tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query GatherUp, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain GatherUp tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every GatherUp tool call, measure latency, and optimize your agent's performance
GatherUp MCP Tools for LangChain (12)
These 12 tools become available when you connect GatherUp to LangChain via MCP:
add_new_customer
Sync a customer
get_account_info
Get user identity
get_review_metrics
Get location stats
list_business_locations
List business units
list_customer_contacts
List customers
list_internal_feedback
List direct feedback
list_online_reviews
List external reviews
reply_to_feedback
Reply to internal feedback
reply_to_online_review
g. Google or Facebook). Reply to external review
search_all_reviews
Search all feedback
send_review_invite
Request a review
verify_api_connection
Check connection
Example Prompts for GatherUp in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with GatherUp immediately.
"List all my business locations in GatherUp."
"Show me the 5 most recent Google reviews for 'Downtown Cafe' (ID: biz_123)."
"Send a review request to customer 'John Doe' (ID: cust_987)."
Troubleshooting GatherUp MCP Server with LangChain
Common issues when connecting GatherUp to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersGatherUp + LangChain FAQ
Common questions about integrating GatherUp 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 GatherUp 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 GatherUp to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.