NeetoInvoice MCP Server for LangChainGive LangChain instant access to 20 tools to Add Project User, Add Team Members, Create Client, and more
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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())
* 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_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 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 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 LangChain via MCP
Follow these steps to wire NeetoInvoice into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the NeetoInvoice MCP Server
LangChain provides unique advantages when paired with NeetoInvoice through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine NeetoInvoice MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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.
RAG with live data: combine NeetoInvoice tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query NeetoInvoice, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain NeetoInvoice tools with web scrapers, databases, and calculators in a single agent run
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.
"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 LangChain
Common issues when connecting NeetoInvoice to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersNeetoInvoice + LangChain FAQ
Common questions about integrating NeetoInvoice MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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