Payerset MCP
Every negotiated rate, in the AI platform you already use
Payerset MCP is the first healthcare price transparency MCP server live in all four major AI platforms: Claude, ChatGPT, Microsoft 365 Copilot, and Gemini Enterprise. Connect once and bring the full Payerset research toolkit, backed by the most complete dataset in the industry, into the assistant your team already works in.
- Quadrillions of records, full rate history
- One hosted endpoint, four platforms
- Per-user OAuth, nothing to install
Why connect through MCP
The whole Payerset toolkit, wherever your team works
Payerset MCP is the connector. Behind it is the same research engine that powers the Payerset Research Assistant™, running on the entire published price transparency corpus at the most detailed level, with no rollups or aggregates.
The full Payerset toolkit, in your AI platform
Payerset MCP exposes the same research tooling that powers the Payerset Research Assistant: organization scoping, source joins, normalization, and industry context, callable from the assistant your team already uses.
Real rates, never estimates
Every number it surfaces is a real, observed negotiated rate from the source records. It never averages or blends rates into a synthetic figure, and every answer arrives with the evidence behind it.
Every dataset that matters
Transparency data is the foundation. Every tool triangulates it against hospital filings, payer policies, full rate history, and dozens of Medicare datasets, so no rate ever stands alone.
Enterprise-grade by default
Per-user OAuth 2.0 on every platform, with your organization’s data rights, entitlements, and usage terms verified on every request. Nothing is indexed into the AI platform, and access can be revoked centrally.
Connect in minutes
One endpoint, four platforms
The same hosted Payerset MCP endpoint serves every platform, with nothing to install locally. Pick your platform for the short version or jump to the full step-by-step guide.
https://mcp.tpi.payerset.com/mcp Claude Anthropic Live · in production Claude Team and Enterprise, plus Claude Code for technical users.
- 1 A Claude Owner adds a custom connector (Organization settings → Connectors → Add → Custom) named Payerset with the Payerset MCP endpoint.
- 2 Set organization tool permissions and roll out to a pilot group.
- 3 Each user connects their own account (Customize → Connectors → Connect) and completes the Payerset OAuth sign-in.
- 4 Enable Payerset in a conversation and start asking.
Technical users can add the same endpoint to Claude Code: claude mcp add --transport http payerset https://mcp.tpi.payerset.com/mcp
ChatGPT OpenAI Live · in production Direct connections, managed ChatGPT Enterprise rollouts, or your own apps on the Responses API.
- 1 Turn on developer mode (Settings → Security and login → Developer mode).
- 2 Add Payerset in ChatGPT Plugins with the Payerset MCP URL as a public endpoint.
- 3 Enable Payerset in a conversation and complete the OAuth sign-in on first use.
For a managed ChatGPT Enterprise rollout, a workspace admin imports Payerset’s private marketplace package and assigns availability by role. Custom applications connect through the OpenAI Responses API with the same endpoint.
Full ChatGPT connector guideMicrosoft 365 Copilot Microsoft Live · in production Copilot Chat, Copilot in Excel, Researcher, and Cowork through a custom federated connector.
- 1 Register the Payerset OAuth client in Teams Developer Portal (Tools → OAuth Client Registration) with values delivered during onboarding.
- 2 In the Microsoft 365 admin center, create the connector (Copilot → Connectors → Create a new connector) with the Payerset base URL and the OAuth registration ID.
- 3 Stage the rollout to a pilot group of licensed users.
- 4 Each user adds Payerset as a source in Copilot Chat and signs in.
Gemini Enterprise Google Live · in production Gemini Enterprise Standard or Plus through a Custom MCP Server data store.
- 1 Enable the Custom MCP connector policy for the Google Cloud project and allow the Payerset hostnames for egress.
- 2 Create a Custom MCP Server data store with the Payerset endpoint and the OAuth values from onboarding.
- 3 Load the Payerset actions, enable the approved set, and connect the data store to your Gemini Enterprise app.
- 4 Each user enables Payerset actions and signs in with their own account.
In practice
Ask bigger questions
Through Payerset MCP, your AI assistant runs each question like a full research engagement: it scopes the market, pulls every relevant source, validates the numbers, and answers with the evidence attached. Work that used to take a week comes back in minutes.
“How do our joint replacement rates compare to every other health system in our market?”
“Why is Anthem paying us so much less for imaging than everyone else?”
“Which payers are underpaying us the most on our highest-volume codes?”
Common questions
Frequently Asked Questions
What is Payerset MCP?
How is Payerset MCP different from the Payerset Research Assistant™?
What data does Payerset MCP work with?
Which AI platforms does Payerset MCP support?
How is access to Payerset MCP secured and governed?
How long does it take to connect Payerset MCP?
Connect Payerset MCP
Request your demo and watch your AI assistant answer real questions from your licensed price transparency data in Claude, ChatGPT, Copilot, or Gemini.
- First MCP server live on all four major AI platforms
- 100% of published price transparency data at source detail
- The full Payerset research toolkit, with per-user OAuth