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Salesmate MCP Server for LangChainGive LangChain instant access to 12 tools to Create Activity, Create Contact, Create Deal, and more

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Salesmate 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 Salesmate app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 12 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({
        "salesmate": {
            "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 Salesmate, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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

Connect your Salesmate account to any AI agent and take full control of your sales automation and customer relationship orchestration through natural conversation. Salesmate provides a modern and powerful CRM platform, and this integration allows you to retrieve contact metadata, manage deal pipelines, and log real-time sales activities directly from your chat interface.

LangChain's ecosystem of 500+ components combines seamlessly with Salesmate 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 & Relationship Orchestration — List and create contacts and companies programmatically to ensure your CRM database is always synchronized.
  • Pipeline & Deal Intelligence — Access and monitor your sales deals and retrieve detailed status metadata directly from the AI interface to close deals faster.
  • Activity & Task Control — Log calls, meetings, and tasks and retrieve detailed activity history via natural language.
  • Team & User Oversight — Access team member metadata and monitor system users to ensure your sales team is fully integrated.
  • Operational Monitoring — Track system activity and monitor webhooks to ensure your automated sales flows are always optimized.

The Salesmate 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.

All 12 Salesmate tools available for LangChain

When LangChain connects to Salesmate through Vinkius, your AI agent gets direct access to every tool listed below — spanning deal-pipeline, contact-management, activity-logging, 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_activity

Log a new activity

create_contact

Create a new contact

create_deal

Create a new deal

get_account_info

Get current profile

get_contact

Get contact details

get_deal

Get deal details

list_activities

List CRM activities

list_contacts

List all CRM contacts

list_deals

List sales deals

list_team_users

List all team members

list_webhooks

List configured webhooks

update_contact

Update contact info

Connect Salesmate to LangChain via MCP

Follow these steps to wire Salesmate 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 12 tools from Salesmate via MCP

Why Use LangChain with the Salesmate MCP Server

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

01

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

Salesmate + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Salesmate in LangChain

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

01

"List all active deals in my Salesmate pipeline."

02

"Show me the sales pipeline with deal values grouped by stage and expected close dates."

03

"Create a new deal for Meridian Corp worth $85,000 and assign it to the enterprise sales team."

Troubleshooting Salesmate MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Salesmate + LangChain FAQ

Common questions about integrating Salesmate 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.