How do I get an API Token for Fulcrum?

Log in to your Fulcrum web app, click the Settings (gear icon), select 'API', and you can generate a new API Token.

Can I run SQL queries on my field data?

Yes! Use the 'query_records_sql' tool. Provide a standard SQL statement (e.g., SELECT * FROM "form_id") to instantly retrieve filtered datasets.

Is it possible to see the schema of a form?

Absolutely. The 'get_form_schema' tool retrieves the complete JSON definition of a form, including all its field keys, data types, and validation rules.

Can I programmatically create a new record?

Yes, you can use the 'create_record' tool. You will need the Form ID, latitude, longitude, and a JSON payload containing the specific form values.

Fulcrum MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Fulcrum
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Fulcrum 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({
        "fulcrum": {
            "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 Fulcrum, 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 Fulcrum MCP Server

Connect your Fulcrum environment to any AI agent to automate your field data collection and mobile inspection workflows through the Model Context Protocol (MCP). Fulcrum is a no-code mobile data collection platform used to build custom apps for field inspections, surveys, and inventory management. This MCP server enables you to retrieve dynamic form schemas, list collected records, and query massive datasets directly through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Fulcrum through native MCP adapters. Connect 10 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

Form Discovery — List all data collection apps (forms) and fetch detailed schemas including field definitions and validation logic.
Record Management — Access and retrieve collected field data, or create new records programmatically to keep your database updated.
Data Querying — Execute powerful SQL queries against the Fulcrum Query API to instantly retrieve and filter large datasets.
Team Oversight — List all organization members and system roles to manage user access and field workforce deployment.
Webhook Integration — Monitor configured webhooks to ensure your downstream systems are receiving real-time data syncs.
Real-time Synchronization — Keep your field intelligence accessible to your AI assistant without leaving your primary workspace.

The Fulcrum MCP Server exposes 10 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 Fulcrum to LangChain via MCP

Follow these steps to integrate the Fulcrum 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 10 tools from Fulcrum via MCP

Why Use LangChain with the Fulcrum MCP Server

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

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

Fulcrum + LangChain Use Cases

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

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

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

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

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

Fulcrum MCP Tools for LangChain (10)

These 10 tools become available when you connect Fulcrum to LangChain via MCP:

check_api_status

Verify API connection

create_record

Create data record

get_form_schema

Get form schema

get_record_details

Get record metadata

list_data_forms

List apps/forms

list_field_records

Can be filtered by form ID. List field data records

list_member_roles

g. Owner, Manager, Standard). List roles

list_organization_members

List team members

list_webhooks

List webhook configs

query_records_sql

Query data with SQL

Example Prompts for Fulcrum in LangChain

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

"List all active forms/apps in my Fulcrum account."

"Run a SQL query to get the last 5 records from form 'form_123'."

"Show me the field schema for the 'Asset Inventory' form (ID: form_456)."

Troubleshooting Fulcrum MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Fulcrum + LangChain FAQ

Common questions about integrating Fulcrum 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.