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Formilla MCP Server for LangChainGive LangChain instant access to 12 tools to Check Formilla Status, Delete Contact, Get Contact, and more

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LangChain is the leading Python framework for composable LLM applications. Connect Formilla 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 for LangChain

The Formilla MCP Server for LangChain is a standout in the Customer Support category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

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

Connect your Formilla account to any AI agent and take full control of your live chat contacts and customer data management through natural conversation.

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

What you can do

  • Contact Orchestration — Create or update contact records programmatically, including managing names, emails, and phone numbers directly from your agent
  • Database Management — List all contacts in your Formilla account and retrieve detailed metadata to maintain a high-fidelity customer record
  • Visitor Intelligence — Find specific contacts by email to verify their support history and track custom attributes for personalized messaging
  • Secure Maintenance — Programmatically delete contacts from the system to maintain database hygiene and comply with privacy requests
  • Data Synchronization — Use unique identifiers (UserId) to seamlessly sync your external user data with Formilla's live chat ecosystem

The Formilla MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Formilla tools available for LangChain

When LangChain connects to Formilla through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time-chat, lead-qualification, in-app-messaging, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

check

Check formilla status on Formilla

Verify connectivity

delete

Delete contact on Formilla

Delete a contact

get

Get contact on Formilla

Get contact details

get

Get contact by email on Formilla

Get contact by email

get

Get conversation on Formilla

Get conversation details

list

List contacts on Formilla

List contacts

list

List conversations on Formilla

List conversations

list

List segments on Formilla

List segments

list

List visitors on Formilla

List visitors

search

Search contacts on Formilla

Search contacts

update

Update contact on Formilla

Update a contact

upsert

Upsert contact on Formilla

Create or update contact

Connect Formilla to LangChain via MCP

Follow these steps to wire Formilla into LangChain. The entire setup takes under two minutes — your credentials stay safe behind 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 Formilla via MCP

Why Use LangChain with the Formilla MCP Server

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

01

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

Formilla + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Formilla in LangChain

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

01

"List all my current contacts in Formilla."

02

"Update contact 'john@example.com' with phone '+15551234567'."

03

"Find the contact details for 'sarah.smith@example.com'."

Troubleshooting Formilla MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Formilla + LangChain FAQ

Common questions about integrating Formilla 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.

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