Froged MCP Server for LangChain 11 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Froged 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({
"froged": {
"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 Froged, 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 Froged MCP Server
Connect your Froged account to any AI agent to automate your customer success and support operations through the Model Context Protocol (MCP). Froged is an omnichannel customer service platform designed to improve retention and engagement. This MCP server enables you to track behavioral events, manage customer profiles, and participate in support conversations directly through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Froged through native MCP adapters. Connect 11 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
- Contact Management — List all customer profiles, fetch detailed metadata, and programmatically create or update contacts to maintain a 360-degree view.
- Behavioral Event Tracking — Access recent user events and post custom behavioral data (e.g., 'plan_upgraded') to trigger automated marketing campaigns.
- Support Conversations — List active support chats across all channels and post replies to conversations seamlessly.
- Marketing Campaigns — Retrieve a list of all active marketing and in-app campaigns to monitor engagement.
- Knowledge Base Access — Fetch published help articles from your Knowledge Base to aid in self-service support.
- Real-time Synchronization — Keep your customer success data and support inbox perfectly aligned with your internal tools.
The Froged MCP Server exposes 11 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 Froged to LangChain via MCP
Follow these steps to integrate the Froged 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 11 tools from Froged via MCP
Why Use LangChain with the Froged MCP Server
LangChain provides unique advantages when paired with Froged through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Froged 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 Froged queries for multi-turn workflows
Froged + LangChain Use Cases
Practical scenarios where LangChain combined with the Froged MCP Server delivers measurable value.
RAG with live data: combine Froged tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Froged, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Froged tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Froged tool call, measure latency, and optimize your agent's performance
Froged MCP Tools for LangChain (11)
These 11 tools become available when you connect Froged to LangChain via MCP:
get_chat_details
Get conversation history
get_contact_details
Get contact metadata
list_behavioral_events
List tracked events
list_cs_contacts
List Froged contacts
list_kb_articles
List help articles
list_marketing_campaigns
List active campaigns
list_support_conversations
List support chats
send_chat_message
Send support reply
track_custom_event
Track user behavior
upsert_contact
Create/Update contact
verify_api_status
Verify API connection
Example Prompts for Froged in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Froged immediately.
"List my 5 most recent active support conversations."
"Track the event 'plan_upgraded' for user 'customer@email.com'."
"Show me the contact profile for 'jane@example.com'."
Troubleshooting Froged MCP Server with LangChain
Common issues when connecting Froged to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFroged + LangChain FAQ
Common questions about integrating Froged 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 Froged 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 Froged to LangChain
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.