Affinity MCP Server for LangChain 5 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Affinity through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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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({
"affinity": {
"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 Affinity, 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 Affinity MCP Server
Connect your Affinity account to your AI agent to unlock professional relationship intelligence and CRM orchestration. From auditing your smart lists to monitoring recent email and meeting interactions and managing your contact pipeline, your agent handles your deal flow through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Affinity through native MCP adapters. Connect 5 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
- Smart List Management — List and retrieve entries for your custom smart lists, including statuses and field values
- Relationship Intelligence — Access relationship strength scores and identify 'warm' introduction paths within your network
- Contact Oversight — List and manage people and organizations, ensuring your B2B intelligence is always up-to-date
- Interaction Auditing — Retrieve logs of recent emails, meetings, and calls automatically synced from team accounts
- Pipeline Insights — Quickly identify active opportunities and track deal progress directly from your chat interface
The Affinity MCP Server exposes 5 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 Affinity to LangChain via MCP
Follow these steps to integrate the Affinity 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 5 tools from Affinity via MCP
Why Use LangChain with the Affinity MCP Server
LangChain provides unique advantages when paired with Affinity through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Affinity 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 Affinity queries for multi-turn workflows
Affinity + LangChain Use Cases
Practical scenarios where LangChain combined with the Affinity MCP Server delivers measurable value.
RAG with live data: combine Affinity tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Affinity, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Affinity tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Affinity tool call, measure latency, and optimize your agent's performance
Affinity MCP Tools for LangChain (5)
These 5 tools become available when you connect Affinity to LangChain via MCP:
list_interactions
Retrieve recent chronological logs of synced emails, meetings, and calls across your team
list_list_entries
Retrieve the people or organizations associated with a specific Affinity smart list ID
list_organizations
Retrieve companies and institutions mapped within your Affinity CRM
list_persons
Retrieve a paginated list of people your team has interacted with in your Affinity network
list_smart_lists
Retrieve the catalog of custom smart lists (pipelines) securely configured in your account
Example Prompts for Affinity in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Affinity immediately.
"Search for a person contact with the name 'Jane Smith'."
"List all entries in my 'Active Deals' smart list."
"Show me the last 5 meetings my team had with 'Innovate Corp'."
Troubleshooting Affinity MCP Server with LangChain
Common issues when connecting Affinity to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAffinity + LangChain FAQ
Common questions about integrating Affinity 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 Affinity 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 Affinity to LangChain
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.