How to Use the Scoro MCP in CrewAI

Q: How do I add Scoro tools to my CrewAI agents?

Pass your Vinkius endpoint URL directly into the mcps parameter when defining your CrewAI agent to connect to the MCP Server. The agent instantly gains access to tools like listprojects.

Q: Can a CrewAI team manage Scoro tasks autonomously?

Yes. You can set up a project manager agent to query listtasks and a developer agent to analyze workload logs, allowing them to collaborate on assignments.

Q: Can CrewAI agents track time logs in Scoro?

Yes. An analyst agent can run listtimeentries to extract logged hours, while a billing agent cross-references them with invoices.

Deploy autonomous agent teams in CrewAI to audit, track, and manage your Scoro projects and invoices.

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Run autonomous project audits with our MCP Server

The `list_projects` tool allows your project manager agent to scan active engagements and identify overdue milestones. It then shares this data with a researcher agent to dig into the bottlenecks. The researcher agent calls `list_tasks` to check individual progress. By dividing the labor, your CrewAI team flags lagging deliverables and drafts status updates without you lifting a finger.

Reconcile invoices and expenses automatically

The `list_invoices` tool gives your financial auditor agent instant access to sales records. It compares these numbers directly against outgoing costs retrieved by another agent using `list_expenses`. If the agents find discrepancies, they collaborate to draft an internal audit log. This multi-agent setup ensures that your financial records are cross-referenced from multiple angles before human review.

Analyze team workloads with specialized agents

The `list_time_entries` tool lets your resource analyst agent track hours using our MCP Server. It matches this logged time against schedule data pulled by a coordinator agent. The coordinator agent uses `list_calendar_events` to see if meetings are eating into development time. Together, they compile a detailed utilization report, giving you a clear picture of team efficiency.

Setup guide

Set up Scoro 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 Scoro tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass your Vinkius endpoint URL directly into the `mcps` parameter when defining your CrewAI agent to connect to the MCP Server. The agent instantly gains access to tools like `list_projects`.

Yes. You can set up a project manager agent to query `list_tasks` and a developer agent to analyze workload logs, allowing them to collaborate on assignments.

Vinkius handles all the authentication. Your CrewAI agents connect to the managed MCP Server using a single token, keeping your main Scoro keys hidden.

Yes. An analyst agent can run `list_time_entries` to extract logged hours, while a billing agent cross-references them with invoices.

Your operational data remains completely private. Vinkius runs the underlying MCP Server in a zero-trust, ephemeral sandbox, meaning your raw project logs, time entries, and user details from `list_users` are never saved or exposed.

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