Can my AI agent find a specific business card by just a first name?

Yes. Ask the agent to run the `search_biz_cards` tool with the contact's name. It will look through all digitized cards in the shared corporate database and return the matching profiles, including their company, department, and direct contact details.

Is it possible to list only contacts from a specific department?

Yes, you can ask your agent to first execute `list_departments` to view your organizational structure, and then cross-reference those entities with the cards via natural prompts to summarize card acquisitions per department.

What is the difference between business cards and persons?

Business Cards are individual scan snapshots of physical cards acquired over time. A 'Person' represents the consolidated identity created when multiple updated cards from the same individual are merged. You can query both views via `list_biz_cards` or `list_persons`.

Sansan MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Sansan
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Sansan through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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({
        "sansan": {
            "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 Sansan, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 Sansan MCP Server

Connect your Sansan account to any AI agent to access your organization’s entire secure network of digitized business cards. Effortlessly manage contact relationships directly from Claude, Cursor, or your preferred MCP client.

LangChain's ecosystem of 500+ components combines seamlessly with Sansan through native MCP adapters. Connect 8 tools via the 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

Business Cards — List all scanned cards, retrieve comprehensive details by card ID, and search for specific contacts by name
Personnel Records — Browse individual person profiles across all captured cards and access deep contact details
Network Organization — Inspect all available tags used for structuring and organizing business cards
Enterprise Structure — List registered Sansan users and view all distinct departments within your organization

The Sansan MCP Server exposes 8 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 Sansan to LangChain via MCP

Follow these steps to integrate the Sansan 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 8 tools from Sansan via MCP

Why Use LangChain with the Sansan MCP Server

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

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

Sansan + LangChain Use Cases

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

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

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

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

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

Sansan MCP Tools for LangChain (8)

These 8 tools become available when you connect Sansan to LangChain via MCP:

get_biz_card

Retrieves details for a specific business card

get_person

Retrieves details for a specific contact person

list_biz_cards

Lists all scanned business cards

list_departments

Lists all departments in the organization

list_persons

Lists all contact persons across cards

list_tags

Lists all tags used for organizing business cards

list_users

Lists all Sansan users in the organization

search_biz_cards

Searches for business cards by name

Example Prompts for Sansan in LangChain

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

"Search for a business card with the name 'Tanaka'."

"Can you list all the tag categories in our Sansan database?"

"Get the detailed person profile for the ID 'person-12345'."

Troubleshooting Sansan MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Sansan + LangChain FAQ

Common questions about integrating Sansan MCP Server with LangChain.

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.

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.