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 Pydantic AI 12 tools — connect in under 2 minutes

Name: Fee Navigator
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Fee Navigator through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Fee Navigator "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Fee Navigator?"
    )
    print(result.data)

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 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.

Pydantic AI validates every Fee Navigator tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Fee Navigator MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Fee Navigator with type-safe schemas

Why Use Pydantic AI with the Fee Navigator MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Fee Navigator integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Fee Navigator connection logic from agent behavior for testable, maintainable code

Fee Navigator + Pydantic AI Use Cases

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

Type-safe data pipelines: query Fee Navigator with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Fee Navigator tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Fee Navigator and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Fee Navigator responses and write comprehensive agent tests

Fee Navigator MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Fee Navigator to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Fee Navigator + Pydantic AI FAQ

Common questions about integrating Fee Navigator MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Fee Navigator MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.