How to Use the Thoughtly MCP in CrewAI

Deploy specialized agent crews in CrewAI to autonomously manage your voice outreach and CRM updates.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Thoughtly MCP to CrewAI

Create your Vinkius account to connect Thoughtly to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Thoughtly with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Autonomous voice outreach teams

Assign the `trigger_call` tool to a dedicated dialer agent. Your research agents can then feed contact details retrieved via `list_contacts` directly into the dialer. Your crew works in parallel. One agent identifies leads while the other executes the calls, ensuring no time is wasted between discovery and outreach.

Dynamic CRM synchronization

Keep your database updated as agents work by calling `update_contact` or `create_contact`. If an agent gathers new info during a chat, they save it back to the CRM immediately. This keeps your records current without human intervention. Your agents act as a complete operations team that maintains its own data integrity.

Collaborative interview monitoring

Use `list_interviews` and `get_interview` to allow your moderator agents to oversee active campaigns. They can adjust parameters or escalate calls to human staff if needed. Your crew stays informed. They react to changes in real-time, ensuring your voice agents are always aligned with your current strategy.

Setup guide

Set up Thoughtly 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 Thoughtly tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Thoughtly 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 Thoughtly. 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 Thoughtly 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 Thoughtly MCP in CrewAI

Pass the Thoughtly server URL to your agent's MCP configuration. The agents will automatically see the available tools and start using them.

Yes. By using shared memory, your agents coordinate on the results they get from `list_calls` and other retrieval tools.

You can assign specific tools to specific agents within your hierarchy. This ensures the dialer agent handles calls while the admin agent manages contacts.

You provide the endpoint token during server initialization. The connection remains ephemeral and scoped only to the tools you expose.

The MCP server enforces access controls on every request. Your interview logs remain isolated and are only visible to the agents you authorize.

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