How do I obtain my Fee Navigator API Token?

You can generate an API Token in your Fee Navigator dashboard under the **Developer** or **Integrations** settings tab.

Can I upload statement files directly via chat?

Yes! Use the `upload_statement` tool. You can provide the file content as a base64 string, and the agent will handle the ingestion for you.

What kind of savings data does the AI provide?

The AI analyzes interchange rates, markups, and hidden fees to calculate potential monthly and annual savings for the merchant, which can be retrieved using the `analyze_statement` tool.

Fee Navigator MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: Fee Navigator
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 12 Tools Framework

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

asyncio.run(main())

Fully ManagedVinkius Servers

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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 Fee Navigator MCP Server

Connect your Fee Navigator account to any AI agent and take full control of your merchant statement analysis and proposal workflow through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Fee Navigator 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

Merchant Orchestration — List all managed merchants and fetch detailed profiles including current processing metadata natively
AI Statement Analysis — Trigger instant AI-powered analysis for uploaded merchant statements to identify hidden fees flawlessly
Proposal Intelligence — List, inspect, and track savings proposals to optimize your sales pipeline natively
Audit Management — Access detailed statement audits to verify processing costs and potential overcharges synchronously
Industry Benchmarking — Retrieve real-time industry statistics and savings benchmarks to validate your offers flawlessly
Document Flow — Manage statement uploads and tracking statuses directly from the cloud without manual portal navigation
Identity Context — Verify your API token user profile and account information through the agent flawlessly

The Fee Navigator 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.

How to Connect Fee Navigator to LangChain via MCP

Follow these steps to integrate the Fee Navigator 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 12 tools from Fee Navigator via MCP

Why Use LangChain with the Fee Navigator MCP Server

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

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

Fee Navigator + LangChain Use Cases

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

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

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

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

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

Fee Navigator MCP Tools for LangChain (12)

These 12 tools become available when you connect Fee Navigator to LangChain via MCP:

analyze_statement

Trigger AI analysis for an uploaded statement

get_account_info

Get Fee Navigator account details

get_audit

Get details for a specific audit

get_industry_stats

Get merchant service industry savings benchmarks

get_me

Get current API token identity info

get_merchant

Get details for a specific merchant

get_proposal

Get details for a specific proposal

list_audits

List all statement audits

list_merchants

List all merchants in your Fee Navigator account

list_proposals

List all savings proposals

list_recent_activities

List recent merchant analysis activities

upload_statement

Upload a merchant statement for analysis

Example Prompts for Fee Navigator in LangChain

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

"List all active merchants in my account."

"Show me the potential savings for proposal P-789."

"Check the current industry savings benchmarks."

Troubleshooting Fee Navigator MCP Server with LangChain

Common issues when connecting Fee Navigator to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Fee Navigator + LangChain FAQ

Common questions about integrating Fee Navigator 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.