Can I see all expense reports waiting for approval?

Yes! Use the `list_expense_reports` tool. The agent will return a list of reports along with their current status, allowing you to identify those pending action.

How do I check the receipt for a specific expense?

Use the `list_certify_receipts` tool. Your agent will fetch the available receipt data and images associated with your account's expenses.

Where do I find my x-api-key and x-api-secret?

These credentials must be generated by a Company-Level Administrator within the Certify application settings. Contact your finance or IT lead if you don't have access.

Certify (Emburse) MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: Certify (Emburse)
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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({
        "certify-emburse": {
            "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 Certify (Emburse), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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 Certify (Emburse) MCP Server

Connect your Certify (Emburse Professional) account to any AI agent and orchestrate your travel and expense management through natural conversation. Streamline spend controls and financial auditing.

LangChain's ecosystem of 500+ components combines seamlessly with Certify (Emburse) through native MCP adapters. Connect 8 tools via the 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

Expense Oversight — List and retrieve individual expense lines and reports natively
Invoice Management — Monitor accounts payable invoices and invoice reports flawlessly
Receipt Auditing — Retrieve and review receipts stored in the system securely
User Administration — List employee records and organizational departments in real-time
General Ledger Sync — Access GL dimensions and dimensions for accounting synchronization flawlessly
Financial Reporting — Get a comprehensive view of employee spend and report statuses directly within your workspace

The Certify (Emburse) MCP Server exposes 8 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.

How to Connect Certify (Emburse) to LangChain via MCP

Follow these steps to integrate the Certify (Emburse) MCP Server with LangChain.

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 8 tools from Certify (Emburse) via MCP

Why Use LangChain with the Certify (Emburse) MCP Server

LangChain provides unique advantages when paired with Certify (Emburse) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Certify (Emburse) 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 Certify (Emburse) queries for multi-turn workflows

Certify (Emburse) + LangChain Use Cases

Practical scenarios where LangChain combined with the Certify (Emburse) MCP Server delivers measurable value.

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

Autonomous research agents: LangChain agents query Certify (Emburse), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Certify (Emburse) tools with web scrapers, databases, and calculators in a single agent run

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

Certify (Emburse) MCP Tools for LangChain (8)

These 8 tools become available when you connect Certify (Emburse) to LangChain via MCP:

get_gl_dimensions

Retrieve General Ledger dimensions and lists

list_certify_departments

List company departments

list_certify_expenses

List individual expense lines

list_certify_invoices

List accounts payable invoices

list_certify_receipts

Retrieve receipts stored in the system

list_certify_users

List employee users in the system

list_expense_reports

List expense reports

list_invoice_reports

List reports containing multiple invoices

Example Prompts for Certify (Emburse) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Certify (Emburse) immediately.

"Show me my recent expense reports in Certify."

"List all employees in the 'Marketing' department."

"What are the latest invoices waiting to be paid?"

Troubleshooting Certify (Emburse) MCP Server with LangChain

Common issues when connecting Certify (Emburse) to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Certify (Emburse) + LangChain FAQ

Common questions about integrating Certify (Emburse) 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.