How do I get my Concur Client ID and Secret?

Register a new application in the SAP Concur Developer Portal. Once approved, you'll receive a Client ID and Client Secret.

What is the Refresh Token used for?

SAP Concur uses OAuth 2.0. The Refresh Token automatically generates short-lived access tokens without requiring manual login each time.

Can I submit an expense report via this integration?

The current version focuses on reading and listing data. Submit and approve capabilities may be added in future updates.

SAP Concur MCP Server for LangChain 9 tools — connect in under 2 minutes

Name: SAP Concur
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect SAP Concur through the 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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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({
        "sap-concur": {
            "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 SAP Concur, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About SAP Concur MCP Server

Connect your AI assistant to SAP Concur, the leading platform for expense management, travel, and invoice automation.

LangChain's ecosystem of 500+ components combines seamlessly with SAP Concur through native MCP adapters. Connect 9 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 Tracking — List and inspect individual expenses including amounts, categories, and receipt metadata.
Report Status — Check approval status of any expense report.
User Profiles — Retrieve employee profile data including cost center and department.

The SAP Concur MCP Server exposes 9 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 SAP Concur to LangChain via MCP

Follow these steps to integrate the SAP Concur 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 9 tools from SAP Concur via MCP

Why Use LangChain with the SAP Concur MCP Server

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

The largest ecosystem of integrations, chains, and agents — combine SAP Concur 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 SAP Concur queries for multi-turn workflows

SAP Concur + LangChain Use Cases

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

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

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

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

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

SAP Concur MCP Tools for LangChain (9)

These 9 tools become available when you connect SAP Concur to LangChain via MCP:

get_expense

Retrieve detailed information about a specific expense

get_expense_report

Retrieve detailed information about a specific expense report

get_report_summaries

Calculate basic totals for a list of recent expense reports

get_user_profile

Retrieve the profile details of the currently authenticated Concur user

list_attendees

Retrieve a list of expense attendees (for business meals, etc.)

list_expense_reports

Retrieve a list of your expense reports from Concur

list_expense_types

Retrieve a list of valid expense types configured in your organization

list_expenses

Retrieve a list of your expenses from Concur

list_pending_expenses

Quickly list all expenses that have not yet been assigned to a report

Example Prompts for SAP Concur in LangChain

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

"Show me my last 10 expenses in Concur."

"Get the status of expense report 'rep-8842'."

"Retrieve the profile for employee 'E-4545'."

Troubleshooting SAP Concur MCP Server with LangChain

Common issues when connecting SAP Concur to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

SAP Concur + LangChain FAQ

Common questions about integrating SAP Concur 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.