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Vinkius

Fusioo MCP Server for LangChain 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools Framework

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.

Vinkius supports streamable HTTP and SSE.

python
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())
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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.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

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.

01

The largest ecosystem of integrations, chains, and agents. combine Fusioo MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

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.

01

RAG with live data: combine Fusioo tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Fusioo, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Fusioo tools with web scrapers, databases, and calculators in a single agent run

04

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:

01

create_app_record

Add a new record

02

get_app_record_count

Get total record count

03

get_app_schema

Get app metadata

04

get_my_identity

Get current user

05

get_record_details

Get record metadata

06

list_app_records

List records in app

07

list_apps

List all Fusioo apps

08

list_dashboard_widgets

List widgets

09

list_workspace_reports

List available reports

10

list_workspace_users

List teammates

11

update_app_record

Modify a record

12

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.

01

"List all the custom apps in my Fusioo workspace."

02

"Get the last 5 records from the 'Projects' app (ID: app_123)."

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Fusioo + LangChain FAQ

Common questions about integrating Fusioo MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Fusioo to LangChain

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.