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Proforms MCP Server for LangChainGive LangChain instant access to 12 tools to Create Job, Get Asset, Get Form, and more

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Proforms 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 App Connector for LangChain

The Proforms app connector for LangChain is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

asyncio.run(main())
Proforms
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 Proforms MCP Server

The Proforms MCP server allows your AI agent to query form responses, retrieve submission data, and list active forms natively. Analyze your collected data immediately through conversation without downloading CSV files.

LangChain's ecosystem of 500+ components combines seamlessly with Proforms 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.

The Proforms 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.

All 12 Proforms tools available for LangChain

When LangChain connects to Proforms through Vinkius, your AI agent gets direct access to every tool listed below — spanning form-builder, data-collection, submission-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_job

Push a new job to a field worker

get_asset

Retrieve details for a specific asset

get_form

Retrieve details for a specific form

get_job

Retrieve details for a specific field job

get_me

Check API connectivity and get user context

get_submission

Retrieve details for a specific form submission

list_assets

List all registered equipment assets

list_forms

List all mobile forms

list_jobs

List all field jobs/tasks

list_submissions

List all data submissions for a specific form

list_users

List all back-office and field users

update_job

Modify an existing field job

Connect Proforms to LangChain via MCP

Follow these steps to wire Proforms into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 Proforms via MCP

Why Use LangChain with the Proforms MCP Server

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

01

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

Proforms + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Proforms in LangChain

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

01

"List all active forms in my account."

02

"Fetch the latest responses for form ID 8901."

03

"Summarize the feedback from 'Customer Feedback Survey'."

Troubleshooting Proforms MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Proforms + LangChain FAQ

Common questions about integrating Proforms 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.