Evoliz MCP Server for CrewAIGive CrewAI instant access to 9 tools to Create Client, Get Article, Get Client, and more
GDPR Free for SubscribersConnect your CrewAI agents to Evoliz through Vinkius, pass the Edge URL in the `mcps` parameter and every Evoliz tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
Ask AI about this MCP Server for CrewAI
The Evoliz MCP Server for CrewAI is a standout in the Erp Operations category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminifrom crewai import Agent, Task, Crew
agent = Agent(
role="Evoliz Specialist",
goal="Help users interact with Evoliz effectively",
backstory=(
"You are an expert at leveraging Evoliz 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 Evoliz "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 9 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 Evoliz MCP Server
Connect your Evoliz account to any AI agent and take full control of your cloud invoicing and accounting workflows through natural conversation.
When paired with CrewAI, Evoliz becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Evoliz 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
- Invoicing Orchestration — List and manage professional invoices programmatically, including retrieving detailed metadata and tracking payment statuses
- Quote Management — Programmatically fetch and list sales quotes to maintain a high-fidelity oversight of your pending deals
- Client CRM — Create and manage your complete customer database and retrieve detailed profiles directly through your agent
- Catalog Intelligence — Access your directory of articles (products/services) and retrieve technical metadata and pricing to coordinate sales
- Accounting Visibility — Monitor your business health by listing invoices and quotes programmatically using natural language commands
The Evoliz MCP Server exposes 9 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 9 Evoliz tools available for CrewAI
When CrewAI connects to Evoliz through Vinkius, your AI agent gets direct access to every tool listed below — spanning invoicing, quote-management, expense-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create client on Evoliz
Important required fields are usually `name` and `type` (Professional or Individual). Create a new client in Evoliz
Get article on Evoliz
Get a specific article in Evoliz
Get client on Evoliz
Get a specific client in Evoliz
Get invoice on Evoliz
Get a specific invoice in Evoliz
Get quote on Evoliz
Get a specific quote in Evoliz
List articles on Evoliz
List articles (products/services) in Evoliz
List clients on Evoliz
List clients in Evoliz
List invoices on Evoliz
List invoices in Evoliz
List quotes on Evoliz
List quotes in Evoliz
Connect Evoliz to CrewAI via MCP
Follow these steps to wire Evoliz into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install CrewAI
pip install crewaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comCustomize the agent
role, goal, and backstory to fit your use caseRun the crew
python crew.py. CrewAI auto-discovers 9 tools from EvolizWhy Use CrewAI with the Evoliz MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Evoliz through the Model Context Protocol.
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
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
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
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Evoliz + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Evoliz MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Evoliz for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Evoliz, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Evoliz tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Evoliz against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Example Prompts for Evoliz in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Evoliz immediately.
"List all my most recent invoices in Evoliz."
"Find the client named 'John Doe'."
"Show me the details for quote ID '67890'."
Troubleshooting Evoliz MCP Server with CrewAI
Common issues when connecting Evoliz to CrewAI through Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Evoliz + CrewAI FAQ
Common questions about integrating Evoliz MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
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.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Explore More MCP Servers
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