3,400+ MCP servers ready to use
Vinkius

Toky MCP Server for LangChainGive LangChain instant access to 10 tools to Create Contact, Get Agent, Get Call, and more

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Toky 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 Toky app connector for LangChain is a standout in the Communication Messaging category — giving your AI agent 10 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({
        "toky": {
            "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 Toky, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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

Connect your Toky cloud phone system account to any AI agent and simplify how you manage your business communications, call logs, and SMS outreach through natural conversation.

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

What you can do

  • Call Management — List and search call history, retrieve detailed metadata, and monitor recent voicemails.
  • SMS Automation — Send individual text messages to customers and leads directly via AI commands.
  • Contact Oversight — List, create, and manage your phone directory to keep customer data synchronized.
  • Team Coordination — Query agent lists and retrieve detailed profiles for your communication team.
  • Operational Status — Fetch detailed metadata for specific calls or voicemails to understand interaction context.
  • Communication Visibility — Monitor your cloud telephony activities directly from the agent.

The Toky 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.

All 10 Toky tools available for LangChain

When LangChain connects to Toky through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-phone, call-recording, ivr, 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_contact

Create a new Toky contact

get_agent

Get details for a specific Toky agent

get_call

Get details for a specific Toky call

get_contact

Get details for a specific Toky contact

get_voicemail

Get details for a specific Toky voicemail

list_agents

Use limit and offset for pagination. List Toky agents

list_calls

Use limit and offset for pagination. List Toky calls

list_contacts

Use limit and offset for pagination. List Toky contacts

list_voicemails

Use limit and offset for pagination. List Toky voicemails

send_sms

Send an SMS via Toky

Connect Toky to LangChain via MCP

Follow these steps to wire Toky 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 10 tools from Toky via MCP

Why Use LangChain with the Toky MCP Server

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

01

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

Toky + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Toky in LangChain

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

01

"List all active agents in my Toky account."

02

"Show me the last 3 calls from today."

03

"Send an SMS to 5511999999999 saying 'Your consultation is confirmed for tomorrow'."

Troubleshooting Toky MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Toky + LangChain FAQ

Common questions about integrating Toky 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.