How to Use the Affinity MCP in LangChain

Chain your CRM data directly into LangChain agents for automated relationship tracking.

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Connect Affinity MCP to LangChain

Create your Vinkius account to connect Affinity to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Affinity with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build multi-step CRM pipelines in LangChain

Feed `list_interactions` into your chain to trigger follow-up tasks based on recent meeting logs. You control the flow by passing outputs from one link to the next. This setup allows your agent to handle logic like identifying stalled deals. It chains the raw data directly into your decision-making workflows.

Query Affinity lists within LangChain chains

Use `list_smart_lists` to pull your current pipelines into the agent's context. The agent can then map specific people to those lists using `list_list_entries`. It makes your reasoning logic smarter by providing real-time access to your CRM's structure. You get a clear audit trail of every tool call via LangSmith.

Map your professional network via LangChain

Call `list_persons` to pull your contacts into an active chain for analysis. This MCP Server makes it simple to feed external network data into your agent's memory. Your agent decides which contacts to prioritize by evaluating the data it retrieves. No extra code is needed to bridge the CRM and your agent logic.

Setup guide

Set up Affinity MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Affinity tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "affinity-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Affinity transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Affinity. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Affinity MCP in LangChain

Install the necessary adapters and initialize the MultiServerMCPClient with your endpoint URL. Once set up, just pass the tool list into your agent constructor to start executing.

This current version focuses on data retrieval. You can read lists and interaction logs, but write operations are not included in this toolset.

We keep your CRM data ephemeral and scoped strictly to your session. No PII or meeting logs are stored outside your immediate request cycle.

Yes, the architecture supports aggregating multiple servers. You can combine this CRM data with other sources in a single chain.

The server accesses your CRM interaction logs, contact lists, and organizational mappings. It only reads the specific records you authorize through your endpoint token.

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