Fee Navigator MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Fee Navigator through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Fee Navigator Assistant",
instructions=(
"You help users interact with Fee Navigator. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Fee Navigator"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 12 tools from Fee Navigator through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Fee Navigator, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Fee Navigator MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Fee Navigator
Why Use OpenAI Agents SDK with the Fee Navigator MCP Server
OpenAI Agents SDK provides unique advantages when paired with Fee Navigator through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Fee Navigator + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Fee Navigator MCP Server delivers measurable value.
Automated workflows: build agents that query Fee Navigator, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Fee Navigator, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Fee Navigator tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Fee Navigator to resolve tickets, look up records, and update statuses without human intervention
Fee Navigator MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Fee Navigator to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Fee Navigator to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Fee Navigator + OpenAI Agents SDK FAQ
Common questions about integrating Fee Navigator MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Fee Navigator with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Fee Navigator to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
