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

Built by Vinkius GDPR 10 Tools Framework

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

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

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

Connect your CallPage account to any AI agent and orchestrate your lead generation, callback management, and team productivity through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with CallPage through native MCP adapters. Connect 10 tools via the 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

  • Call Oversight — List all callback calls and retrieve detailed metadata, including recording URLs and durations.
  • Lead Management — List all captured leads from your widgets and retrieve detailed profiles, including contact info and intent.
  • Widget Control — List all your CallPage widgets and retrieve their specific configuration and performance settings.
  • Team Coordination — Access your directory of managers and departments to ensure incoming leads are properly routed.
  • Sms Templates — List available SMS templates used for automated follow-ups.
  • Account Insights — Retrieve core manager and account information straight from your workspace.

The CallPage 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 CallPage to LangChain via MCP

Follow these steps to integrate the CallPage MCP Server with LangChain.

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 10 tools from CallPage via MCP

Why Use LangChain with the CallPage MCP Server

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

01

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

CallPage + LangChain Use Cases

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

01

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

02

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

03

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

04

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

CallPage MCP Tools for LangChain (10)

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

01

get_account_info

Retrieve core manager/account info

02

get_call_details

Get details of a specific call

03

get_lead_details

Get details of a specific lead

04

get_widget_settings

Get settings for a specific widget

05

list_calls

List all callback calls and their recordings

06

list_departments

List company departments

07

list_leads

List captured leads from widgets

08

list_managers

List team managers

09

list_sms_templates

List available SMS templates

10

list_widgets

List all CallPage widgets

Example Prompts for CallPage in LangChain

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

01

"List all my leads from today in CallPage."

02

"Show the last 3 call recordings."

03

"What are the settings for widget 'Main Website'?"

Troubleshooting CallPage MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

CallPage + LangChain FAQ

Common questions about integrating CallPage 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.

Connect CallPage to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.