Can my text AI agent command a voice agent to call a specific person?

Yes! Use the `trigger_call` tool by providing the Interview ID (Voice Agent) and the Contact ID. The voice AI will immediately execute the outbound call.

Is it possible to read the transcript of what the Voice AI discussed during a call?

Absolutely. By calling the `get_call_history` tool with a specific Call ID, your agent can extract the entire conversational transcript and analyze the outcome without leaving the interface.

Do I need to manually register contacts in the Thoughtly dashboard before calling them?

No. The integration provides the `create_contact` tool, allowing your AI to dynamically add new leads to the CRM and immediately initiate a phone call in one fluid workflow.

INSTANT PLUG AND PLAY

Thoughtly MCP Server for CrewAIGive CrewAI instant access to 11 tools to Create Contact, Delete Contact, Get Call History, and more

Name: Thoughtly
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to Thoughtly through Vinkius, pass the Edge URL in the `mcps` parameter and every Thoughtly tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The Thoughtly app connector for CrewAI is a standout in the Communication category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Thoughtly Specialist",
    goal="Help users interact with Thoughtly effectively",
    backstory=(
        "You are an expert at leveraging Thoughtly tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Thoughtly "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

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

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Thoughtly MCP Server

Connect your Thoughtly voice AI platform to any text-based AI agent to seamlessly bridge the gap between text commands and real-world phone calls.

When paired with CrewAI, Thoughtly becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Thoughtly tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Trigger Phone Calls — Instantly instruct your AI Voice Agents (Interviews) to dial any contact and execute conversational phone workflows
Contact Management — Query your Thoughtly CRM directory, register new leads with phone numbers, and manage their details
Call Logs & Transcripts — Retrieve detailed call histories, metadata, and full transcripts of conversations conducted by your voice agents
Agent Fleet Control — List and inspect all your active AI Voice Agents to deploy the right persona for each outbound campaign

The Thoughtly MCP Server exposes 11 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Thoughtly tools available for CrewAI

When CrewAI connects to Thoughtly through Vinkius, your AI agent gets direct access to every tool listed below — spanning voice-ai, agents, crm, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_contact

Optionally includes first name, last name, email. Create a new Thoughtly contact

delete_contact

Delete a Thoughtly contact

get_call_history

Get details and transcript for a specific call

get_contact

Get specific Thoughtly contact details

get_interview

Get details for a specific Thoughtly Voice Agent

get_user

Get Thoughtly user details

list_calls

List past phone calls (Call logs)

list_contacts

List Thoughtly contacts

list_interviews

List Thoughtly Voice Agents (Interviews)

trigger_call

Trigger an AI outbound phone call

update_contact

Update an existing Thoughtly contact

Connect Thoughtly to CrewAI via MCP

Follow these steps to wire Thoughtly into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 11 tools from Thoughtly

Why Use CrewAI with the Thoughtly MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Thoughtly through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Thoughtly + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Thoughtly MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Thoughtly for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Thoughtly, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Thoughtly tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Thoughtly against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Thoughtly in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Thoughtly immediately.

"List all my available Voice Agents in Thoughtly."

"Create a new contact with the phone number +1234567890 and tell the Sales SDR Voice Agent to call them."

"Get the call transcript for the latest interaction with Call ID CAL-554."

Troubleshooting Thoughtly MCP Server with CrewAI

Common issues when connecting Thoughtly to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Thoughtly + CrewAI FAQ

Common questions about integrating Thoughtly MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.