Moxie MCP Server for LangChainGive LangChain instant access to 12 tools to Create Client, Create Expense, Create Invoice, and more
LangChain is the leading Python framework for composable LLM applications. Connect Moxie 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 App Connector for LangChain
The Moxie app connector for LangChain is a standout in the Productivity category — giving your AI agent 12 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({
"moxie": {
"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 Moxie, 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 Moxie MCP Server
Connect your Moxie workspace to any AI agent and manage your freelance or agency business through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Moxie through native MCP adapters. Connect 12 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
- Clients & Contacts — List clients, create new ones, search contacts
- Projects & Tasks — Search/create projects, create tasks
- Invoices — Search payable invoices, create new ones
- Time & Expenses — Log time entries, record expenses
- Tickets — Create support tickets
- Users — List workspace team members
The Moxie MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Moxie tools available for LangChain
When LangChain connects to Moxie through Vinkius, your AI agent gets direct access to every tool listed below — spanning freelance-management, invoicing, time-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new client
Log an expense
Create a new invoice
Create a new project
Create a new task
Create a support ticket
Log time
List all clients in Moxie
List workspace users
Search for contacts
Search for payable invoices
Search for projects
Connect Moxie to LangChain via MCP
Follow these steps to wire Moxie into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the 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 Moxie MCP Server
LangChain provides unique advantages when paired with Moxie through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Moxie 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 Moxie queries for multi-turn workflows
Moxie + LangChain Use Cases
Practical scenarios where LangChain combined with the Moxie MCP Server delivers measurable value.
RAG with live data: combine Moxie tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Moxie, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Moxie tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Moxie tool call, measure latency, and optimize your agent's performance
Example Prompts for Moxie in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Moxie immediately.
"List all clients and their projects."
"Log 2 hours of consulting on the Acme Corp project."
"Create an invoice for Beta Design."
Troubleshooting Moxie MCP Server with LangChain
Common issues when connecting Moxie to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersMoxie + LangChain FAQ
Common questions about integrating Moxie 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.