FormKeep MCP Server for LangChain 5 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect FormKeep 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({
"formkeep": {
"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 FormKeep, 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 FormKeep MCP Server
Connect your FormKeep account to any AI agent to automate your form data retrieval and submission management through the Model Context Protocol (MCP). FormKeep is the easiest way to add a backend to your HTML forms without writing a single line of server-side code. This MCP server enables you to retrieve submissions, manage your forms, and monitor incoming leads directly through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with FormKeep through native MCP adapters. Connect 5 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
- Submission Retrieval — List all submissions for specific forms and fetch detailed data fields for individual records.
- Spam Control — Filter and manage spam submissions to ensure your data library stays clean and relevant.
- Form Oversight — Access and list all forms in your account, including their unique identifiers and setup metadata.
- Data Management — Delete specific submissions or clean up your records directly through simple AI commands.
- Pagination Support — Effortlessly navigate through large volumes of submission data with built-in pagination tools.
- Real-time Monitoring — Fetch recent submissions to keep your team informed of new inquiries or customer feedback.
The FormKeep MCP Server exposes 5 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 FormKeep to LangChain via MCP
Follow these steps to integrate the FormKeep 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 5 tools from FormKeep via MCP
Why Use LangChain with the FormKeep MCP Server
LangChain provides unique advantages when paired with FormKeep through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine FormKeep 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 FormKeep queries for multi-turn workflows
FormKeep + LangChain Use Cases
Practical scenarios where LangChain combined with the FormKeep MCP Server delivers measurable value.
RAG with live data: combine FormKeep tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query FormKeep, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain FormKeep tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every FormKeep tool call, measure latency, and optimize your agent's performance
FormKeep MCP Tools for LangChain (5)
These 5 tools become available when you connect FormKeep to LangChain via MCP:
delete_submission
Remove a submission
get_form_details
Get form metadata
get_submission
Get submission details
list_forms
List all forms
list_submissions
List form submissions
Example Prompts for FormKeep in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with FormKeep immediately.
"List the last 10 submissions for my 'Contact' form (ID: abc123)."
"Show me all active forms in my FormKeep account."
"Delete submission ID '987654' from form 'abc123'."
Troubleshooting FormKeep MCP Server with LangChain
Common issues when connecting FormKeep to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFormKeep + LangChain FAQ
Common questions about integrating FormKeep 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 FormKeep 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 FormKeep to LangChain
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.