Agendor MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Agendor 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"agendor": {
"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 Agendor, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Agendor MCP Server
Connect your Agendor account to your AI agent to unlock professional sales orchestration and CRM management. From creating new leads and organizations to auditing your sales pipeline and managing task workflows, your agent handles your sales ecosystem through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Agendor through native MCP adapters. Connect 6 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 & Contact Management — Create, update, and list people and organizations to keep your CRM data current
- Pipeline Orchestration — List active deals, monitor sales funnels, and retrieve details for specific deal stages
- Task Management — List and create tasks to ensure your team never misses a follow-up or critical deadline
- Upsert Capability — Seamlessly create or update records based on email or CNPJ to prevent duplicate data entry
- Sales Insights — Quickly identify high-value opportunities or overdue deals directly from your chat interface
The Agendor MCP Server exposes 6 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 Agendor to LangChain via MCP
Follow these steps to integrate the Agendor MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 6 tools from Agendor via MCP
Why Use LangChain with the Agendor MCP Server
LangChain provides unique advantages when paired with Agendor through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Agendor MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Agendor queries for multi-turn workflows
Agendor + LangChain Use Cases
Practical scenarios where LangChain combined with the Agendor MCP Server delivers measurable value.
RAG with live data: combine Agendor tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Agendor, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Agendor tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Agendor tool call, measure latency, and optimize your agent's performance
Agendor MCP Tools for LangChain (6)
These 6 tools become available when you connect Agendor to LangChain via MCP:
create_organization
Instantiate a new organization record securely within Agendor
create_person
Can optionally link the person to a company. Instantiate a new person profile natively within the Agendor CRM
list_deals
Retrieve highly active sales opportunities and negotiation pipelines tracked in Agendor
list_organizations
Retrieve a directory of institutional organizations, companies, and business entities in the CRM
list_people
Retrieve a comprehensive directory of person profiles registered in your Agendor CRM
list_tasks
Retrieve the chronological queue of upcoming activities and follow-ups scheduled for the team
Example Prompts for Agendor in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Agendor immediately.
"List the last 5 people added to my Agendor CRM."
"Show me all deals in the 'Qualified' stage of my pipeline."
"Create a new organization named 'Tech Innovations' with domain 'techinn.com'."
Troubleshooting Agendor MCP Server with LangChain
Common issues when connecting Agendor to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAgendor + LangChain FAQ
Common questions about integrating Agendor MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Agendor with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Agendor to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.