Evoliz MCP Server for LangChainGive LangChain instant access to 9 tools to Create Client, Get Article, Get Client, and more

Name: Evoliz
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Evoliz MCP Server for LangChain is a standout in the Erp Operations category — giving your AI agent 9 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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ChatGPT

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+ other MCP clients

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({
        "evoliz": {
            "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 Evoliz, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 Evoliz MCP Server

Connect your Evoliz account to any AI agent and take full control of your cloud invoicing and accounting workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Evoliz through native MCP adapters. Connect 9 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

Invoicing Orchestration — List and manage professional invoices programmatically, including retrieving detailed metadata and tracking payment statuses
Quote Management — Programmatically fetch and list sales quotes to maintain a high-fidelity oversight of your pending deals
Client CRM — Create and manage your complete customer database and retrieve detailed profiles directly through your agent
Catalog Intelligence — Access your directory of articles (products/services) and retrieve technical metadata and pricing to coordinate sales
Accounting Visibility — Monitor your business health by listing invoices and quotes programmatically using natural language commands

The Evoliz MCP Server exposes 9 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 9 Evoliz tools available for LangChain

When LangChain connects to Evoliz through Vinkius, your AI agent gets direct access to every tool listed below — spanning invoicing, quote-management, expense-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.

create

Create client on Evoliz

Important required fields are usually `name` and `type` (Professional or Individual). Create a new client in Evoliz

get

Get article on Evoliz

Get a specific article in Evoliz

get

Get client on Evoliz

Get a specific client in Evoliz

get

Get invoice on Evoliz

Get a specific invoice in Evoliz

get

Get quote on Evoliz

Get a specific quote in Evoliz

list

List articles on Evoliz

List articles (products/services) in Evoliz

list

List clients on Evoliz

List clients in Evoliz

list

List invoices on Evoliz

List invoices in Evoliz

list

List quotes on Evoliz

List quotes in Evoliz

Connect Evoliz to LangChain via MCP

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

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from Evoliz via MCP

Why Use LangChain with the Evoliz MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Evoliz 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 Evoliz queries for multi-turn workflows

Evoliz + LangChain Use Cases

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

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

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

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

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

Example Prompts for Evoliz in LangChain

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

"List all my most recent invoices in Evoliz."

"Find the client named 'John Doe'."

"Show me the details for quote ID '67890'."

Troubleshooting Evoliz MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Evoliz + LangChain FAQ

Common questions about integrating Evoliz MCP Server with LangChain.

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.

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.

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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