How to Use the Tactiq MCP in CrewAI

Q: How do I research topics using Tactiq and CrewAI?

The Research Agent calls searchtranscripts with the topic. The resulting data is then passed to the Analysis Agent, enabling a specialized workflow.

Q: What happens when an agent needs meeting details with Tactiq and CrewAI?

It uses getmeeting to get foundational context for that specific session. This helps ensure the subsequent actions taken by other agents are relevant to the right event.

Q: Can I list all transcripts using Tactiq and CrewAI?

Yes, use listtranscripts at the beginning of a workflow. This gives the entire crew a view of the available data they can work with over time.

Q: Which tool helps track contributors in Tactiq and CrewAI?

The listspeakers tool provides this data point, letting your monitoring agent keep tabs on who spoke most frequently across sessions.

Run autonomous teams using Tactiq's intelligence with CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Tactiq MCP to CrewAI

Create your Vinkius account to connect Tactiq 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 Tactiq with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Autonomous Research via MCP Server

Assign a specialized agent to run `search_transcripts` for background research. This lets one agent pull all relevant discussions from the entire corpus of recordings. The results give another agent enough context to start analyzing, making it ideal for multi-agent collaboration.

Synthesizing Outcomes with CrewAI

After research, an analysis agent can use `get_summary` and `list_insights`. This allows the crew to synthesize raw data into a digestible report without human intervention. The action-oriented tasks are captured via `get_action_items`, which another specialist agent can then take ownership of.

Monitoring Speaker Activity for CrewAI

Use the `list_speakers` tool to track who participated in each meeting. This is crucial for a monitoring agent that needs to report on contribution balance. It’s also useful for an action-taking agent to know which specific individuals need follow-up.

Setup guide

Set up Tactiq 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 Tactiq tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

The Research Agent calls `search_transcripts` with the topic. The resulting data is then passed to the Analysis Agent, enabling a specialized workflow.

It uses `get_meeting` to get foundational context for that specific session. This helps ensure the subsequent actions taken by other agents are relevant to the right event.

Yes, use `list_transcripts` at the beginning of a workflow. This gives the entire crew a view of the available data they can work with over time.

The `list_speakers` tool provides this data point, letting your monitoring agent keep tabs on who spoke most frequently across sessions.

It handles meeting transcripts and speaker analytics. CrewAI uses the raw text content to perform analysis, so handling conversational records is paramount.

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