NeetoInvoice MCP Server for CrewAIGive CrewAI instant access to 20 tools to Add Project User, Add Team Members, Create Client, and more
Connect your CrewAI agents to NeetoInvoice through Vinkius, pass the Edge URL in the `mcps` parameter and every NeetoInvoice tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
Ask AI about this MCP Server for CrewAI
The NeetoInvoice MCP Server for CrewAI is a standout in the Project Management category — giving your AI agent 20 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from crewai import Agent, Task, Crew
agent = Agent(
role="NeetoInvoice Specialist",
goal="Help users interact with NeetoInvoice effectively",
backstory=(
"You are an expert at leveraging NeetoInvoice 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 NeetoInvoice "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 20 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 NeetoInvoice MCP Server
Connect your NeetoInvoice account to any AI agent to streamline your billing and project management workflows through natural conversation.
When paired with CrewAI, NeetoInvoice becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call NeetoInvoice 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
- Client Management — Create, retrieve, and update client profiles and recipients with ease using
create_clientandget_client. - Project & Team Tracking — Set up projects with specific billing methods (hourly or fixed) and manage team assignments using
create_projectandadd_project_user. - Time Tracking — Log time entries and monitor work logs across projects to ensure accurate billing with
create_time_entry. - Invoice Generation — Automatically generate professional invoices based on project data and time entries using
generate_invoice. - Team Collaboration — List and manage team members and project users to keep your workforce organized.
The NeetoInvoice MCP Server exposes 20 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 20 NeetoInvoice tools available for CrewAI
When CrewAI connects to NeetoInvoice through Vinkius, your AI agent gets direct access to every tool listed below — spanning invoicing, billing, time-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.
Add project user on NeetoInvoice
Add a user to a project
Add team members on NeetoInvoice
Add team members to the workspace
Create client on NeetoInvoice
Requires name, currency, and status. Create a new client in NeetoInvoice
Create project on NeetoInvoice
Create a new project
Create recipient on NeetoInvoice
Create a recipient for a client
Create time entry on NeetoInvoice
Create a new time entry
Delete recipient on NeetoInvoice
Delete a client recipient
Generate invoice on NeetoInvoice
Generate a new invoice for a client
Get client on NeetoInvoice
Get client details by ID
Get project on NeetoInvoice
Get project details by ID
List project users on NeetoInvoice
List users assigned to a project
List team members on NeetoInvoice
List all team members in the workspace
List time entries on NeetoInvoice
List time entries with optional filters
Remove project user on NeetoInvoice
Remove a user from a project
Remove team members on NeetoInvoice
Remove team members from the workspace
Update client on NeetoInvoice
Update an existing client
Update project on NeetoInvoice
Update an existing project
Update project user on NeetoInvoice
Update a project user role
Update recipient on NeetoInvoice
Update a client recipient
Update team member on NeetoInvoice
Update a team member
Connect NeetoInvoice to CrewAI via MCP
Follow these steps to wire NeetoInvoice 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 20 tools from NeetoInvoiceWhy Use CrewAI with the NeetoInvoice MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with NeetoInvoice 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
NeetoInvoice + CrewAI Use Cases
Practical scenarios where CrewAI combined with the NeetoInvoice MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries NeetoInvoice 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 NeetoInvoice, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain NeetoInvoice 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 NeetoInvoice against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Example Prompts for NeetoInvoice in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with NeetoInvoice immediately.
"Create a new client named 'Acme Corp' with USD currency and active status."
"List all users assigned to project 98765."
"Generate an invoice for project ID 555."
Troubleshooting NeetoInvoice MCP Server with CrewAI
Common issues when connecting NeetoInvoice to CrewAI through Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
NeetoInvoice + CrewAI FAQ
Common questions about integrating NeetoInvoice 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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