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

MCP Inspector GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect NeetoInvoice through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

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

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "neetoinvoice": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using NeetoInvoice, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
NeetoInvoice
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with NeetoInvoice through native MCP adapters. Connect 20 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 20 tools from NeetoInvoice via MCP

Why Use LangChain with the NeetoInvoice MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine NeetoInvoice MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across NeetoInvoice queries for multi-turn workflows

NeetoInvoice + LangChain Use Cases

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

01

RAG with live data: combine NeetoInvoice tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query NeetoInvoice, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain NeetoInvoice tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every NeetoInvoice tool call, measure latency, and optimize your agent's performance

Example Prompts for NeetoInvoice in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with NeetoInvoice immediately.

01

"Create a new client named 'Acme Corp' with USD currency and active status."

02

"List all users assigned to project 98765."

03

"Generate an invoice for project ID 555."

Troubleshooting NeetoInvoice MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

NeetoInvoice + LangChain FAQ

Common questions about integrating NeetoInvoice MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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