How to Use the Firefish MCP in CrewAI

Q: Can I filter which Firefish tools my CrewAI agents use?

Yes. Use the toolfilter option to restrict agents to specific tasks, like only allowing them to list data without creating records.

Deploy a specialized crew of agents to manage your Firefish CRM. Let autonomous teams handle sourcing and candidate updates.

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Connect Firefish MCP to CrewAI

Create your Vinkius account to connect Firefish 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 Firefish with CrewAI

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Claude

Perplexity

Autonomous candidate research teams

Assign a researcher agent to use `list_candidates` while an analyst agent uses `get_candidate`. They work in tandem to surface top-tier talent. This mimics how a human team operates. You define the roles, and the agents coordinate their efforts to get the job done.

Collaborative job and advert monitoring

Set up a crew to watch `list_adverts` and `list_jobs` for updates. One agent tracks changes while another updates the internal status. Shared memory lets the crew stay in sync. When the first agent finds a new advert, the whole crew knows about it immediately.

Systematic placement and action logging

Have your crew use `list_placements` and `list_actions` to keep your CRM records current. It removes the need for manual data entry. Your agents act as a dedicated administrative team. They run in the background, ensuring your recruiter dashboard is always up to date.

Setup guide

Set up Firefish 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 Firefish tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the MCP server URL directly into your agent's configuration. The framework handles the connection and tool registration.

Yes. Use the tool_filter option to restrict agents to specific tasks, like only allowing them to list data without creating records.

Each agent shares a memory space. If one agent retrieves a candidate, the rest of the crew can act on that information immediately.

It uses persistent connections that are built for exactly that. It's stable enough to run your recruitment operations 24/7.

All interactions are scoped to the agent's session. The data is transient and never logged outside of your direct environment.

Use it with your favorite AI tools

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