NeetoInvoice MCP Server for LlamaIndexGive LlamaIndex instant access to 20 tools to Add Project User, Add Team Members, Create Client, and more

Name: NeetoInvoice
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add NeetoInvoice as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The NeetoInvoice MCP Server for LlamaIndex is a standout in the Project Management category — giving your AI agent 20 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to NeetoInvoice. "
            "You have 20 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in NeetoInvoice?"
    )
    print(response)

asyncio.run(main())

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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 NeetoInvoice MCP Server

Connect your NeetoInvoice account to any AI agent to streamline your billing and project management workflows through natural conversation.

LlamaIndex agents combine NeetoInvoice tool responses with indexed documents for comprehensive, grounded answers. Connect 20 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Client Management — Create, retrieve, and update client profiles and recipients with ease using create_client and get_client.
Project & Team Tracking — Set up projects with specific billing methods (hourly or fixed) and manage team assignments using create_project and add_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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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

Add project user on NeetoInvoice

Add a user to a project

add

Add team members on NeetoInvoice

Add team members to the workspace

create

Create client on NeetoInvoice

Requires name, currency, and status. Create a new client in NeetoInvoice

create

Create project on NeetoInvoice

Create a new project

create

Create recipient on NeetoInvoice

Create a recipient for a client

create

Create time entry on NeetoInvoice

Create a new time entry

delete

Delete recipient on NeetoInvoice

Delete a client recipient

generate

Generate invoice on NeetoInvoice

Generate a new invoice for a client

get

Get client on NeetoInvoice

Get client details by ID

get

Get project on NeetoInvoice

Get project details by ID

list

List project users on NeetoInvoice

List users assigned to a project

list

List team members on NeetoInvoice

List all team members in the workspace

list

List time entries on NeetoInvoice

List time entries with optional filters

remove

Remove project user on NeetoInvoice

Remove a user from a project

remove

Remove team members on NeetoInvoice

Remove team members from the workspace

update

Update client on NeetoInvoice

Update an existing client

update

Update project on NeetoInvoice

Update an existing project

update

Update project user on NeetoInvoice

Update a project user role

update

Update recipient on NeetoInvoice

Update a client recipient

update

Update team member on NeetoInvoice

Update a team member

Connect NeetoInvoice to LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 20 tools from NeetoInvoice

Why Use LlamaIndex with the NeetoInvoice MCP Server

LlamaIndex provides unique advantages when paired with NeetoInvoice through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine NeetoInvoice tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain NeetoInvoice tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query NeetoInvoice, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what NeetoInvoice tools were called, what data was returned, and how it influenced the final answer

NeetoInvoice + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the NeetoInvoice MCP Server delivers measurable value.

Hybrid search: combine NeetoInvoice real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query NeetoInvoice to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying NeetoInvoice for fresh data

Analytical workflows: chain NeetoInvoice queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for NeetoInvoice in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting NeetoInvoice to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

NeetoInvoice + LlamaIndex FAQ

Common questions about integrating NeetoInvoice MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query NeetoInvoice tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.