How to Use the Meltwater MCP in CrewAI

Q: Is it possible to filter which Meltwater tools my CrewAI agents see?

You can. Use the toolfilter option to restrict agent access. This keeps your agents focused and prevents them from using tools they don't need.

Deploy specialized CrewAI research teams to monitor and analyze media coverage autonomously.

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Connect Meltwater MCP to CrewAI

Create your Vinkius account to connect Meltwater 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 Meltwater with CrewAI

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Autonomous research and analysis crews

Assign a researcher agent to `search_content` while an analyst agent uses `get_media_insights`. They work in tandem to pull and interpret the data. This removes the need for human input during the research phase. The crew handles the search, interprets the sentiment, and prepares the summary for your final review.

Role-based social media monitoring

Use `list_media_sources` to define the scope for your monitor agent. It focuses only on the channels that matter to your brand. This keeps the noise down. By specializing the agents, you ensure that the data they pull is relevant, reducing the time spent filtering through unrelated mentions.

Automated organizational tagging

Have your moderator agent call `list_tags` and `get_mention_details` to categorize incoming news. It keeps your database clean without you lifting a finger. This forces a consistent structure on your data. Every mention gets tagged according to your rules, making it easier for your team to find what they need later.

Setup guide

Set up Meltwater 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 Meltwater tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL to your agent definition in your CrewAI setup. Your agents will automatically gain access to the tools you expose.

Yes. CrewAI provides shared memory. Once an agent fetches data with a tool, the other agents in the crew can access that information for their own tasks.

You can. Use the tool_filter option to restrict agent access. This keeps your agents focused and prevents them from using tools they don't need.

The server manages it for you. You just provide the endpoint, and the Vinkius-hosted server handles the authentication details behind the scenes.

The server operates in an ephemeral sandbox. It only processes the specific news mentions and analytics you request, and it does not store your account credentials.

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