How to Use the Determ MCP in CrewAI

Q: How do I add the Determ MCP tools to my CrewAI agents?

Pass your Vinkius HTTP endpoint directly into the agent's mcps list during initialization. For more granular control, use MCPServerHTTP and apply a toolfilter to restrict which agents can access specific tracking tools.

Q: How do my agents know which keywords are currently being tracked?

Your agents can run listmonitoringqueries at the start of a task to fetch all active keywords and topics, ensuring they only search for relevant data.

Run a collaborative team of specialized PR agents using the Determ MCP Server with CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Determ MCP to CrewAI

Create your Vinkius account to connect Determ 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 Determ with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-agent PR war rooms using CrewAI

The `list_media_mentions` tool provides the raw data stream that your CrewAI agents use to collaborate on brand monitoring. CrewAI lets you deploy a team of specialized agents that share context. You can set up a Researcher Agent to constantly pull new articles using this tool, while an Analyst Agent processes those articles to find trends. This MCP Server provides the raw data feed that fuels their collaboration. Instead of one agent doing everything, the Researcher passes specific mention IDs to the Analyst, who then uses `get_mention_details` to write deep-dive summaries.

Automated high-reach filtering and escalation

Using `list_recent_high_reach_mentions` lets your crew filter out low-authority blogs and focus on major publications. Not all press is created equal, and your agents need to know what to ignore. By using this tool, your monitoring crew can instantly isolate high-impact stories from global outlets. A specialized PR Agent can then draft response emails or social posts for those specific articles. This keeps your autonomous operations focused entirely on high-value coverage without wasting tokens on low-reach blogs.

Deep keyword and sentiment analysis

The `search_mentions_by_keyword` tool allows your specialized agents to hunt for competitor activity across your tracked topics. Your agents can work together to track competitor moves. One agent can monitor competitor keywords using this tool, while another analyzes the emotional tone using `get_query_sentiment_summary`. By combining these tools, your crew builds a complete picture of market sentiment. They can flag sudden shifts in public opinion and compile their findings into structured markdown reports for your human team.

Setup guide

Set up Determ 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 Determ tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass your Vinkius HTTP endpoint directly into the agent's `mcps` list during initialization. For more granular control, use `MCPServerHTTP` and apply a `tool_filter` to restrict which agents can access specific tracking tools.

Yes, CrewAI's cooperative execution model allows different agents to call tools like `list_media_mentions` and `get_query_sentiment_summary` in parallel, sharing the results through their collaborative memory.

Yes. You can use CrewAI's advanced tool filtering to ensure only your Analyst Agent has access to `get_query_sentiment_summary`, while keeping your Researcher Agent restricted to basic search tools.

Your agents can run `list_monitoring_queries` at the start of a task to fetch all active keywords and topics, ensuring they only search for relevant data.

All tool calls are routed through a zero-trust, ephemeral V8 isolate on Vinkius. Your sentiment scores and mention text are processed in memory and never written to disk, ensuring complete isolation from other workloads.

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