How do I obtain my Fieldly API credentials?

First, contact support@fieldly.com to enable the Public API. Once activated, you can find your Client ID and Client Secret in the **Integration Settings** of your Fieldly Admin panel.

How long is the access token valid?

Fieldly access tokens are valid for one hour. The agent handles token renewal automatically so you don't have to worry about manual updates.

Can I create new construction tasks via chat?

Yes! The `create_work_item` tool allows you to programmatically generate new construction tasks and work items directly within your AI-powered workflow flawlessy.

Fieldly MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: Fieldly
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Fieldly through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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({
        "fieldly": {
            "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 Fieldly, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Fieldly MCP Server

Fieldly is a specialized project management platform for the construction industry. This MCP server allows your AI agent to interact with your Fieldly account flawlessly.

LangChain's ecosystem of 500+ components combines seamlessly with Fieldly 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

Work Item Orchestration — List all construction tasks and work items, and fetch detailed metadata natively.
Booking Intelligence — Retrieve and inspect scheduling bookings to stay updated on team allocation flawlessly.
Invoice Management — Access billing data and individual invoices to track project financials flawlessly.
Article Access — Query your catalog of articles, materials, and service items natively.
Customer CRM — Access customer profiles and contact details to manage business relationships flawlessly.
Identity Verification — Verify the authorized application and user profile through the agent flawlessly.

The Fieldly 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 Fieldly to LangChain via MCP

Follow these steps to integrate the Fieldly 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 Fieldly via MCP

Why Use LangChain with the Fieldly MCP Server

LangChain provides unique advantages when paired with Fieldly through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Fieldly 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 Fieldly queries for multi-turn workflows

Fieldly + LangChain Use Cases

Practical scenarios where LangChain combined with the Fieldly MCP Server delivers measurable value.

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

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

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

Production monitoring: use LangSmith to trace every Fieldly tool call, measure latency, and optimize your agent's performance

Fieldly MCP Tools for LangChain (11)

These 11 tools become available when you connect Fieldly to LangChain via MCP:

create_work_item

Create a new work item

get_booking

Get details for a specific booking

get_invoice

Get details for a specific invoice

get_me

Get details for the authorized application/user

get_work_item

Get details for a specific work item

list_articles

List all inventory and service articles

list_bookings

List all scheduling bookings

list_customers

List all customers

list_invoices

List all invoices

list_users

List all users in the system

list_work_items

List all work items (jobs/tasks)

Example Prompts for Fieldly in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Fieldly immediately.

"List all active work items in Fieldly."

"Show me the team bookings for tomorrow."

"Check for any unpaid construction invoices."

Troubleshooting Fieldly MCP Server with LangChain

Common issues when connecting Fieldly to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Fieldly + LangChain FAQ

Common questions about integrating Fieldly MCP Server with LangChain.

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.

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.