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Scoro MCP Server for CrewAIGive CrewAI instant access to 12 tools to Get Bill, Get Contact, Get Invoice, and more

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Scoro through Vinkius, pass the Edge URL in the `mcps` parameter and every Scoro tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Scoro app connector for CrewAI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Scoro Specialist",
    goal="Help users interact with Scoro effectively",
    backstory=(
        "You are an expert at leveraging Scoro tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Scoro "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Scoro
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Scoro MCP Server

Connect your Scoro account to any AI agent and take full control of your business orchestration and project management through natural conversation. Scoro provides a comprehensive platform for managing your entire workspace, from CRM and sales to projects and billing, and this integration allows you to retrieve task metadata, monitor sales pipelines, and manage financial documents directly from your chat interface.

When paired with CrewAI, Scoro becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Scoro tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

  • Project & Task Orchestration — List all managed projects and retrieve detailed metadata, including task assignments and completion statuses programmatically.
  • Sales & CRM Intelligence — Access and monitor your sales pipeline, retrieve contact metadata, and view quotes directly from the AI interface.
  • Financial & Billing Control — Manage invoices and bills to maintain a clear overview of your business finances via natural language.
  • Account Performance Monitoring — Retrieve real-time account metrics and monitor workspace health to ensure your operations are always optimized.
  • Operational Oversight — Access detailed task and project metadata using simple AI commands to streamline your work management.

The Scoro MCP Server exposes 12 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Scoro tools available for CrewAI

When CrewAI connects to Scoro through Vinkius, your AI agent gets direct access to every tool listed below — spanning scoro, work-management, project-orchestration, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_bill

Get details for a Scoro bill

get_contact

Get details for a Scoro contact

get_invoice

Get details for a Scoro invoice

get_project

Get details for a Scoro project

get_quote

Get details for a Scoro quote

get_task

Get details for a Scoro task

list_bills

List supplier bills/payables

list_contacts

List Scoro contacts

list_invoices

List sales invoices

list_projects

List all Scoro projects

list_quotes

List sales quotes/proposals

list_tasks

List all Scoro tasks

Connect Scoro to CrewAI via MCP

Follow these steps to wire Scoro into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Scoro

Why Use CrewAI with the Scoro MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Scoro through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Scoro + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Scoro MCP Server delivers measurable value.

01

Automated multi-step research: a reconnaissance agent queries Scoro for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Scoro, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Scoro tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Scoro against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Scoro in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Scoro immediately.

01

"List all active projects in Scoro."

02

"Show me the profitability dashboard for all active projects with budget burn rates."

03

"List all pending quotes and proposals with their expected close dates and values."

Troubleshooting Scoro MCP Server with CrewAI

Common issues when connecting Scoro to CrewAI through the Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Scoro + CrewAI FAQ

Common questions about integrating Scoro MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.