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Freshcaller MCP Server for LangChain 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Freshcaller through 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({
        "freshcaller": {
            "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 Freshcaller, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Freshcaller
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
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EU AI ActCompliant
DLPData protection
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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 Freshcaller MCP Server

Connect your Freshcaller (now Freshdesk Contact Center) account to any AI agent to automate your cloud telephony and contact center management through the Model Context Protocol (MCP). Freshcaller is a modern phone system that enables teams to handle customer calls across the globe with zero hardware. This MCP server enables you to track call logs, monitor agent performance, and retrieve recording links directly through natural conversation.

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

Key Features

  • Call Oversight — List all inbound and outbound calls, fetch detailed metadata including duration and status, and monitor recent activity instantly.
  • Agent Management — Access your database of users and agents to maintain full context of who is online and handling calls.
  • Team Coordination — List configured agent teams and retrieve metadata for specific groups to optimize your routing.
  • Recording Retrieval — Get direct links to call recordings for quality assurance and training purposes directly from your chat interface.
  • Performance Metrics — Access real-time account metrics to understand call volumes and service levels across your organization.
  • Number Inventory — List owned phone numbers and search for new available numbers to scale your global presence.
  • Data Export — Monitor initiated export jobs to ensure your historical data is ready for deep analysis.

The Freshcaller 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.

How to Connect Freshcaller to LangChain via MCP

Follow these steps to integrate the Freshcaller 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 12 tools from Freshcaller via MCP

Why Use LangChain with the Freshcaller MCP Server

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

01

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

Freshcaller + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Freshcaller MCP Tools for LangChain (12)

These 12 tools become available when you connect Freshcaller to LangChain via MCP:

01

get_agent_details

Get agent metadata

02

get_call_details

Get call metadata

03

get_call_recording

Get recording link

04

get_export_status

Check export job

05

get_team_details

Get team metadata

06

list_account_metrics

Get call center metrics

07

list_agent_teams

List agent teams

08

list_agents

List call center agents

09

list_buyable_numbers

Search for phone numbers

10

list_calls

List recent phone calls

11

list_export_jobs

List data exports

12

list_my_numbers

List owned phone numbers

Example Prompts for Freshcaller in LangChain

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

01

"List my 5 most recent calls and their duration."

02

"Show me the status of all agents in my support team."

03

"Get the recording link for call 'call_abc123'."

Troubleshooting Freshcaller MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Freshcaller + LangChain FAQ

Common questions about integrating Freshcaller 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 Freshcaller to LangChain

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.