Fusioo MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Fusioo 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({
"fusioo": {
"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 Fusioo, 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 Fusioo MCP Server
Connect your Fusioo workspace to any AI agent to automate your project management and database workflows through the Model Context Protocol (MCP). Fusioo is a highly customizable workspace platform that allows you to build your own apps to manage everything from CRM to project tracking. This MCP server enables you to retrieve app schemas, manage individual records, and monitor workspace activity directly through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Fusioo 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
- Custom App Oversight — List all apps in your workspace and fetch detailed schemas including field definitions and unique IDs.
- Record Management — Access and retrieve data from any of your custom apps, or create and update records programmatically.
- Data Quantification — Get real-time record counts for specific apps to track project volume or lead growth.
- Teammate Collaboration — List workspace users and teammates to maintain full context of who is involved in each app.
- Dashboard Insights — Access configured widgets and saved reports to get high-level snapshots of your data.
- User Identity — Fetch profile information for the authenticated API identity to verify access levels.
- Real-time Synchronization — Keep your custom database records accessible to your AI assistant without leaving your primary workspace.
The Fusioo 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 Fusioo to LangChain via MCP
Follow these steps to integrate the Fusioo 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 Fusioo via MCP
Why Use LangChain with the Fusioo MCP Server
LangChain provides unique advantages when paired with Fusioo through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Fusioo 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 Fusioo queries for multi-turn workflows
Fusioo + LangChain Use Cases
Practical scenarios where LangChain combined with the Fusioo MCP Server delivers measurable value.
RAG with live data: combine Fusioo tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Fusioo, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Fusioo tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Fusioo tool call, measure latency, and optimize your agent's performance
Fusioo MCP Tools for LangChain (12)
These 12 tools become available when you connect Fusioo to LangChain via MCP:
create_app_record
Add a new record
get_app_record_count
Get total record count
get_app_schema
Get app metadata
get_my_identity
Get current user
get_record_details
Get record metadata
list_app_records
List records in app
list_apps
List all Fusioo apps
list_dashboard_widgets
List widgets
list_workspace_reports
List available reports
list_workspace_users
List teammates
update_app_record
Modify a record
verify_api_connection
Check connection
Example Prompts for Fusioo in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Fusioo immediately.
"List all the custom apps in my Fusioo workspace."
"Get the last 5 records from the 'Projects' app (ID: app_123)."
"How many records are currently in my 'Leads' app (ID: app_789)?"
Troubleshooting Fusioo MCP Server with LangChain
Common issues when connecting Fusioo to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFusioo + LangChain FAQ
Common questions about integrating Fusioo 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 Fusioo 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 Fusioo to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
