Sentinel Signal MCP for Healthcare Claims Scoring
Hosted MCP server for denial risk, prior authorization, reimbursement scoring, usage, and feedback.
What it can do
- List Workflows: List supported workflows and current model versions via GET /v1/workflows
- Get Workflow Schema: Fetch required fields, optional fields, enums, and an example payload for a workflow via GET /v1/workflows/{workflow}/schema
- Validate Workflow Payload: Validate and normalize a workflow payload without consuming a scoring call via POST /v1/workflows/{workflow}/validate
What data it sees
Do you need an account
No: the server works without sign-in
Hosted MCP server for denial risk, prior authorization, reimbursement scoring, usage, and feedback. Includes no-signup trial keys and Smithery support.
How to connect
How to connect Sentinel Signal MCP for Healthcare Claims Scoring to Claude
The server address to paste into Claude settings:
https://scoring--sentinelsignal.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect Sentinel Signal MCP for Healthcare Claims Scoring to ChatGPT
The server address to paste into ChatGPT settings:
https://scoring--sentinelsignal.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect Sentinel Signal MCP for Healthcare Claims Scoring to Cursor
The server address to paste into Cursor settings:
https://scoring--sentinelsignal.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (8)
Raw names from tools/list. Only developers need these.
| list_workflows | List supported workflows and current model versions via GET /v1/workflows |
| get_workflow_schema | Fetch required fields, optional fields, enums, and an example payload for a workflow via GET /v1/workflows/{workflow}/schema |
| validate_workflow_payload | Validate and normalize a workflow payload without consuming a scoring call via POST /v1/workflows/{workflow}/validate |
| score_workflow | Score denial risk, prior auth, and reimbursement workflows via POST /v1/score |
| score_batch | Score up to 25 workflow items sequentially in one request via POST /v1/score/batch |
| get_limits | Retrieve plan limits, trial quota, and upgrade state via GET /v1/limits |
| get_usage | Retrieve monthly scoring call usage via GET /v1/usage |
| submit_feedback | Submit structured claims outcome feedback via POST /v1/feedback |