Koskamo

Service Engineer AI MCP

An MCP server that allows AI assistants to troubleshoot medical equipment faults using a knowledge base and look up spare parts by part number or model. It also provides access to user-specific service cases and drafts, supporting biomedical and service engineers with repair information.

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Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

Service Engineer AI MCP logo, by Service Engineer AcademyVendor evidenceStreamable HTTPOAuth sign-inEndpoint checked 2026-11-08Operated by Service Engineer Academy
You need:Sign in with your e-mailSE AI subscription
MCP endpoint (Streamable HTTP)
https://api.serviceengineer.academy/mcp
Vendor documentation

Checks and signals

Each line is separate evidence, not a trust score.

  • Passed Endpoint answered the live check ·
  • Passed Official MCP Registry namespace is tied to serviceengineer.academy ·
  • Passed Endpoint is on the registry namespace domain ·
  • Availability 1 of 1 checks passed in 30 days

What you can do with it

  • Troubleshoot medical equipment faults
  • Look up spare parts by part number
  • Access personal service case status
  • Review work order and report drafts

Source and maintenance

Vendor evidenceRegistry 1.0.0
mcp-registry: academy.serviceengineer/se-ai@1.0.0Project website

Tools

Reported by the attributed source; not independently observed by Koskamo.

No tool definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks
1 of 1 (100%)
Average latency
193 ms
95th percentile latency
193 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · probe · passed · 193 ms · metadata changed · refuses unauthenticated initialize (HTTP 401)

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers the remote server. Use --scope project to write .mcp.json for the repo.
Claude Code configuration
claude mcp add --transport http service-engineer-ai-mcp https://api.serviceengineer.academy/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).
Codex configuration
codex mcp add service-engineer-ai-mcp --url https://api.serviceengineer.academy/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable service-engineer-ai-mcp in your MCP settings.
Cursor configuration
{
  "mcpServers": {
    "service-engineer-ai-mcp": {
      "url": "https://api.serviceengineer.academy/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).
Cline configuration
{
  "mcpServers": {
    "service-engineer-ai-mcp": {
      "type": "streamableHttp",
      "url": "https://api.serviceengineer.academy/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start service-engineer-ai-mcp and inspect its tools.
VS Code configuration
{
  "servers": {
    "service-engineer-ai-mcp": {
      "type": "http",
      "url": "https://api.serviceengineer.academy/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.
Gemini CLI configuration
gemini mcp add --transport http service-engineer-ai-mcp https://api.serviceengineer.academy/mcp

Claude Desktop

Open Claude Settings > Connectors > Add custom connector, enter this server URL and enable it for the conversation. This is a manual remote-connector handoff, not a desktop JSON configuration.
Claude Desktop configuration
https://api.serviceengineer.academy/mcp

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.
Windsurf configuration
{
  "mcpServers": {
    "service-engineer-ai-mcp": {
      "serverUrl": "https://api.serviceengineer.academy/mcp"
    }
  }
}

Let your agent find its tools

Find servers like Service Engineer AI MCP from your agent. Add Koskamo once to search the index for endpoints, access requirements, and client setup. Public discovery needs no key.

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