How to Use the Agendor MCP in CrewAI

Q: How do I restrict which Agendor tools a CrewAI agent can use?

Import MCPServerHTTP from the framework and use the toolfilter parameter. This lets you expose read-only MCP commands to a researcher while giving write access to an operations agent.

Deploy autonomous sales teams with CrewAI. Give your specialized agents direct access to Agendor CRM data to monitor pipelines and close deals.

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Connect Agendor MCP to CrewAI

Create your Vinkius account to connect Agendor 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.

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Setup Agendor with CrewAI

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Perplexity

Deploy specialized sales agents

A researcher agent can pull active opportunities using `list_deals` right out of the gate. One agent cannot handle an entire sales pipeline effectively, so you need a team of specialists working together through this MCP Server. It passes that context to a strategist agent for review. The strategist evaluates the pipeline and decides exactly what actions the team should take next.

Automate CRM data entry

Your autonomous crew handles `create_person` tasks without ever asking for permission. Reps waste hours logging contacts manually, but those days are over. An outreach agent processes incoming emails and automatically fires off the required creation commands. The CRM stays perfectly updated while your human sales team focuses on actual conversations.

Monitor tasks via MCP Server

A dedicated monitor agent continuously runs `list_tasks` to check for missed follow-ups. Things fall through the cracks when nobody watches the queue. If it spots a neglected high-value account, it escalates the issue to a human manager immediately. The crew handles the oversight autonomously.

Setup guide

Set up Agendor 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 Agendor tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Agendor 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="Agendor Analyst",
        goal="Access and analyze Agendor data via MCP.",
        backstory="Expert analyst with direct Agendor access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Agendor 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 Agendor. 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.

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Common questions about Agendor MCP in CrewAI

Install the framework with the tools extra enabled. Then pass your Vinkius endpoint URL directly into the mcps array on your Agent definition.

Yes. You assign the server to specific agents within your crew. They share the resulting context while maintaining their distinct roles.

Import MCPServerHTTP from the framework and use the tool_filter parameter. This lets you expose read-only MCP commands to a researcher while giving write access to an operations agent.

The framework supports stdio, SSE, and Streamable HTTP. Vinkius defaults to HTTP, which works perfectly for cloud-deployed crews.

We never store your sales opportunities. All deal values and pipeline stages process inside a zero-trust sandbox that vaporizes instantly after the tool execution finishes.

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