Sansan MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Sansan as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Sansan. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Sansan?"
)
print(response)
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 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.
LlamaIndex agents combine Sansan tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Sansan MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from Sansan
Why Use LlamaIndex with the Sansan MCP Server
LlamaIndex provides unique advantages when paired with Sansan through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Sansan tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Sansan tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Sansan, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Sansan tools were called, what data was returned, and how it influenced the final answer
Sansan + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Sansan MCP Server delivers measurable value.
Hybrid search: combine Sansan real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Sansan to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Sansan for fresh data
Analytical workflows: chain Sansan queries with LlamaIndex's data connectors to build multi-source analytical reports
Sansan MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Sansan to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Sansan to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSansan + LlamaIndex FAQ
Common questions about integrating Sansan MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Sansan 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 Sansan to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.