How to Use the Recruit CRM MCP in CrewAI
Deploy specialized AI agent teams to run your hiring pipeline autonomously using CrewAI and Recruit CRM.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Recruit CRM MCP to CrewAI
Create your Vinkius account to connect Recruit CRM to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Key Capabilities
Coordinate candidate sourcing crews
`list_candidates` acts as the primary data source for your sourcing crew. In CrewAI, one researcher agent can pull candidate profiles while a separate screening agent analyzes their resumes for key qualifications. This multi-agent setup passes context between members using shared memory. Instead of a single model trying to do everything, specialized agents divide and conquer your recruitment backlog.
Auto-assign applicants to open roles
`list_job_applications` exposes which candidates are currently tied to active hiring pipelines. A coordinator agent can monitor this list, spot unassigned talent, and route them to the right interviewer via this MCP Server. You can configure the crew to run sequentially or hierarchically. A manager agent oversees the entire process, stepping in to re-route tasks if an agent fails to match a candidate to a job.
Keep client contacts updated via CrewAI MCP Server
`list_contacts` lets your client-facing agents pull account manager details to sync communication history. When a client company updates their hiring requirements, your crew can immediately update the CRM records. Using the `tool_filter` option, you can restrict your communication agents so they only see contact tools. That keeps them from accidentally modifying job postings or candidate profiles.
Set up Recruit CRM 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 Recruit CRM tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Recruit CRM Analyst",
goal="Access and analyze Recruit CRM data via MCP.",
backstory="Expert analyst with direct Recruit CRM access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Recruit CRM 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="Recruit CRM Analyst",
goal="Access and analyze Recruit CRM data via MCP.",
backstory="Expert analyst with direct Recruit CRM access.",
tools=mcp_tools,
)
task = Task(
description="List recent Recruit CRM 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 Recruit CRM. 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 Recruit CRM MCP in CrewAI
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