mcpField
S
Sentinel Signal Mcp

Sentinel Signal Mcp

Local
github.com/sentinelsignalAI & Agents0
Repository

About Sentinel Signal Mcp

Sentinel Signal MCP exposes scoring, usage, limits, and feedback tools for healthcare claims workflows. It is intended for teams using these capabilities in agent workflows and supports both a local stdio server and a hosted remote service, with optional trial-key provisioning.

Key features

  1. 01Discover workflows and model versions
  2. 02Retrieve workflow fields and examples
  3. 03Validate and normalize inputs
  4. 04Score individual or batch items
  5. 05Check limits and usage; submit feedback
  6. 06Mint and cache trial credentials

Use cases

  1. 01Assess healthcare claim denial risk
  2. 02Score prior authorization or reimbursement workflows
  3. 03Process up to 25 items in a batch
  4. 04Review usage and submit outcome feedback

MCP support

It provides a local stdio MCP server and a Streamable HTTP remote service, exposing workflow discovery, validation, scoring, usage, limits, and feedback tools to MCP clients.

#mcp#agents#tools#python#api#scoring#usage#billing

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "sentinel-signal": {
      "command": "uvx",
      "args": [
        "sentinel-signal-mcp"
      ],
      "env": {
        "SENTINEL_BASE_URL": "<SENTINEL_BASE_URL>",
        "SENTINEL_TOKEN_BASE_URL": "<SENTINEL_TOKEN_BASE_URL>",
        "SENTINEL_TIMEOUT_SECONDS": "<SENTINEL_TIMEOUT_SECONDS>"
      }
    }
  }
}
Run commanduvx sentinel-signal-mcp
Environment variables to set
SENTINEL_BASE_URL
SENTINEL_TOKEN_BASE_URLSecret
SENTINEL_TIMEOUT_SECONDS

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypisentinel-signal-mcp

Tools

8

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
optionsanyNo
payloadobjectYes
workflowstringYes

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.