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Salesloft MCP Server for LangChainGive LangChain instant access to 12 tools to Create New Lead, Get Account Info, Get Api Status, and more

Built by Vinkius GDPR 12 Tools Framework

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

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

Connect your Salesloft account to any AI agent and take full control of your sales engagement orchestration through natural conversation. Salesloft provides a premier platform for accelerating revenue, and this integration allows you to retrieve lead metadata, manage account records, and monitor active sales cadences directly from your chat interface.

LangChain's ecosystem of 500+ components combines seamlessly with Salesloft 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

  • Lead & Prospect Orchestration — List, create, and retrieve detailed metadata for people (leads) programmatically to ensure your pipeline is always synchronized.
  • Cadence & Outreach Intelligence — Access and monitor your sales cadences and retrieve detailed step metadata directly from the AI interface.
  • Account & Company Control — Manage your account directory and retrieve detailed company profile metadata via natural language.
  • Activity & Engagement Oversight — Access real-time activity logs and monitor system tasks to ensure your outreach is always optimized.
  • Operational Monitoring — Track team settings and retrieve user profile metadata using simple AI commands to ensure your sales stack is fully integrated.

The Salesloft 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 Salesloft tools available for LangChain

When LangChain connects to Salesloft through Vinkius, your AI agent gets direct access to every tool listed below — spanning sales-engagement, cadence-management, revenue-acceleration, 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_new_lead

Add a person

get_account_info

Get company details

get_api_status

Check connection

get_cadence_details

Get workflow info

get_person_details

Get contact info

list_outreach_cadences

List workflows

list_pending_actions

Check in-progress steps

list_recent_activity

Get engagement history

list_sales_accounts

List companies

list_sales_people

List lead profiles

list_user_tasks

Get scheduled tasks

test_salesloft_auth

Verify credentials

Connect Salesloft to LangChain via MCP

Follow these steps to wire Salesloft 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 Salesloft via MCP

Why Use LangChain with the Salesloft MCP Server

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

01

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

Salesloft + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Salesloft in LangChain

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

01

"List all active cadences in my Salesloft account."

02

"Show me the cadence performance for all active sales sequences this quarter."

03

"Add 15 new prospects from the TechCrunch Disrupt attendee list to the Enterprise Outbound cadence."

Troubleshooting Salesloft MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Salesloft + LangChain FAQ

Common questions about integrating Salesloft 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.