How to Use the Sansan MCP in CrewAI
Deploy autonomous agent teams in CrewAI to research business cards via the Sansan MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Sansan MCP to CrewAI
Create your Vinkius account to connect Sansan to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
CrewAI teams analyze network data
The `search_biz_cards` tool allows your primary researcher agent to hunt down specific contacts by name. You assign this tool to a dedicated data-gathering role within your crew. The agent queries the database, extracts the relevant business cards, and passes the raw text to an analyst agent for processing. You restrict the researcher to read-only queries using the tool_filter configuration in the MCPServerHTTP class. The MCP Server processes the search while your moderator agent watches the session. This hierarchical execution ensures one agent finds the data while another decides what to do with it.
Cross-reference corporate hierarchies
The `list_departments` tool gives your organizational mapping agent direct access to corporate structures. It pulls the department list and hands it to a secondary agent equipped with `list_users`. The crew works together to build a complete map of internal employees and their respective divisions. Calling `get_person` lets a specialized verification agent cross-check individual contact details against the broader department map. They operate sequentially. The first agent builds the map, the second verifies the people, and the final agent outputs a clean, validated directory without human input.
Sort incoming contacts autonomously
The `list_tags` tool provides your sorting agent with the existing taxonomy for scanned cards. The agent reads the tags, then uses `list_biz_cards` to pull the uncategorized backlog. It determines which tags apply to which contacts based on job titles and company names. You run this crew on a schedule to keep your contact database organized. The framework handles the shared memory between the sorting agent and the database. You define the roles, provide the tools, and let the agents execute the classification pipeline.
Set up Sansan MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Sansan tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Sansan Analyst",
goal="Access and analyze Sansan data via MCP.",
backstory="Expert analyst with direct Sansan access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Sansan transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Sansan Analyst",
goal="Access and analyze Sansan data via MCP.",
backstory="Expert analyst with direct Sansan access.",
tools=mcp_tools,
)
task = Task(
description="List recent Sansan transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Sansan. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Sansan MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Sansan MCP today
We host it, we monitor it, we maintain it. You just paste one token.