How to Use the Crelate Talent CRM MCP in CrewAI

Q: Can I filter which Crelate tools my CrewAI agents can access?

Yes, you can use the MCP Server HTTP class with a toolfilter. This lets you prevent agents from running operations like createcontact while still allowing them to read data via listjobs.

Run a coordinated team of autonomous recruiting agents to manage Crelate Talent CRM using CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Crelate Talent CRM MCP to CrewAI

Create your Vinkius account to connect Crelate Talent 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.

GDPR Free for Subscribers

Setup Crelate Talent CRM with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-Agent Candidate Sourcing

Instead of one agent doing everything, this MCP Server lets you deploy specialized roles. A Sourcer Agent can use `search_contacts_by_name` to find potential matches, while a Researcher Agent calls `get_contact_details` to analyze their background. They pass this data through shared memory to coordinate their work. This collaborative approach ensures deep analysis. Once the candidate is vetted, a Coordinator Agent can execute `create_contact` to add them to your database, ensuring your CRM stays populated with high-quality talent.

Autonomous Job Order Matching with CrewAI

Matching candidates to open positions requires analyzing multiple data points. A Job Analyst Agent uses `list_jobs` to pull open roles and `get_job_details` to understand the specific requirements. Meanwhile, a Candidate Matcher Agent pulls active profiles to find the best fit. The agents share their findings in real-time. The Matcher Agent uses `list_contacts` to scan your database, comparing skills against the job requirements before writing the final recommendation back to the candidate's profile.

Recruiter Activity Auditing Crews

Managing team performance is easier when agents handle the busywork. You can set up a CrewAI team where a Monitor Agent calls `list_recent_activities` to track daily recruiter touchpoints. A separate Analyst Agent reviews these activities to identify bottlenecks. The crew can cross-reference active recruiters by calling `list_crelate_users`. This lets the agents map phone calls and emails to specific team members, generating clean performance reports for your management team.

Setup guide

Set up Crelate Talent CRM MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Crelate Talent CRM tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Crelate Talent CRM Analyst",
    goal="Access and analyze Crelate Talent CRM data via MCP.",
    backstory="Expert analyst with direct Crelate Talent CRM access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Crelate Talent CRM transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Crelate Talent CRM Analyst",
        goal="Access and analyze Crelate Talent CRM data via MCP.",
        backstory="Expert analyst with direct Crelate Talent CRM access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Crelate Talent CRM transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Crelate Talent. 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.

Connect Crelate Talent CRM now

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 Crelate Talent CRM MCP in CrewAI

You pass the MCP Server URL directly to your agents using the `mcps` parameter. You can restrict tools so only your Sourcing Agent can run `search_contacts_by_name` while your Admin Agent handles `create_contact`.

Yes, by using sequential execution. One agent pulls job requirements using `get_job_details`, passes the parameters to a second agent, who searches for matching candidates using `list_contacts`.

CrewAI agents use shared memory to pass context. When one agent runs `get_contact_notes`, the output notes are stored in the crew's memory, allowing other agents to use that context for follow-up tasks.

Yes, you can use the MCP Server HTTP class with a `tool_filter`. This lets you prevent agents from running operations like `create_contact` while still allowing them to read data via `list_jobs`.

Your CRM data, including candidate details and internal recruiter notes, is processed strictly within your local Python runtime. The MCP connection uses secure transport protocols, ensuring no sensitive data is leaked to external vector databases or shared models.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript