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MCP server · AI

Scoutos

Local MCP server for the Scout OS API

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Scored 4 months ago · breakdown

About Scoutos

Scoutos is an MCP server in the AI category: local MCP server for the Scout OS API. It has been installed 0 times through Conduid.

Install

Claude Code
claude mcp add scoutos -- npx -y scoutos-mcp
npx
npx -y scoutos-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

scoutos-mcp

scoutos-mcp is a local MCP (Model Context Protocol) server for the Scout OS API. Install it from npm, set SCOUT_API_KEY, run it on your machine, and connect your coding agent to http://127.0.0.1:9987/mcp.

Alpha Status

This package is currently an alpha release. Expect API coverage, tool actions, packaging details, and client integration guidance to keep evolving before a stable 1.0 release.

Install

npm install -g scoutos-mcp

Or run without a global install:

npx scoutos-mcp

Quick Start

  1. Set your Scout API key:
export SCOUT_API_KEY=your_api_key_here
  1. Start the local MCP server:
scoutos-mcp
  1. Point your MCP client or coding agent at:
http://127.0.0.1:9987/mcp
  1. Check health locally:
curl http://127.0.0.1:9987/health

CLI

scoutos-mcp --help
Usage:
  scoutos-mcp [--port <number>] [--host <host>]

Examples:

scoutos-mcp --port 3333
scoutos-mcp --host 127.0.0.1 --port 3333

Environment variables:

  • SCOUT_API_KEY: required Scout API key
  • PORT: optional port override, defaults to 9987
  • HOST: optional host override, defaults to 127.0.0.1
  • MCP_SERVER_BEARER_TOKEN: optional bearer token to require on /mcp

Using With Coding Agents

Run scoutos-mcp locally, then configure your MCP-capable tool to use the server URL:

http://127.0.0.1:9987/mcp

If your client supports custom headers and you set MCP_SERVER_BEARER_TOKEN, include:

Authorization: Bearer <your-token>

Overview

This server wraps the Scout OS API and exposes it as a set of MCP tools and resources. It uses the Streamable HTTP transport for remote deployment, allowing any MCP-compatible client to connect.

Architecture

Concern Choice
Language TypeScript
MCP SDK @modelcontextprotocol/sdk
Transport Streamable HTTP
HTTP Framework Express
API Base URL https://api.scoutos.com
Auth Bearer token (Scout API key)

Tools

The server groups the 79 Scout API endpoints into 13 domain tools with an action parameter, keeping the tool count manageable for LLMs:

Tool API Coverage Actions
scout_workflows /v2/workflows, revisions, environments list, get, create, update, delete, run, run_with_config
scout_agents /agents list, get, upsert, delete, interact, interact_sync
scout_agent_sessions Session-based agent endpoints interact_with_session, interact_sync_with_session, interact_async_with_session
scout_collections /v2/collections list, get, create, update, delete
scout_tables /v2/collections/:id/tables list, get, create, update, delete, get_schema, sync
scout_documents Document endpoints list, get, create, update, update_batch, delete, delete_batch
scout_syncs /v2/syncs, sources list, get, create, update, delete, execute, list_sources
scout_triggers /v2/triggers list, create, update, delete, execute_slack, execute_telegram, execute_cron
scout_copilots /v2/copilots list, get, create, update, delete
scout_logs /v2/run_logs list, get_details
scout_integrations Integrations + org list, list_channels, delete_integration
scout_drive /drive upload, download
scout_usage /v2/usage get

Prompts

The server provides built-in MCP prompts that guide agents through common Scout workflows:

Prompt Purpose
scout_explore Dynamic account overview — fetches real workflow, agent, and collection names
scout_run_workflow Step-by-step workflow execution: find, confirm, run, check logs
scout_debug_logs Troubleshooting guide for failed runs — pulls recent logs, surfaces errors
scout_create_agent Agent creation walkthrough with data structure guidance
scout_sync_data Data sync setup: list sources, create sync, execute

The scout_explore prompt is dynamic — it calls the Scout API at prompt time to inject your actual account data into the response.

Progress Notifications

When an MCP client includes a progressToken in its request, the server sends notifications/progress during long-running operations. This lets the agent report status to the user instead of waiting in silence.

Operations that support progress:

Tool Actions Steps
scout_workflows run, run_with_config Starting → Running → Processing result
scout_agents interact, interact_sync Sending → Processing → Reading response
scout_syncs execute Starting → Executing → Complete

If the client does not include a progressToken, progress notifications are silently skipped.

Resources

Read-only context resources exposed via MCP:

  • scout://workflows — list of workflows
  • scout://collections — list of collections
  • scout://agents — list of agents

Project Structure

src/
├── index.ts              # MCP server entry, Streamable HTTP transport
├── server.ts             # Tool/resource/prompt definitions
├── api-client.ts         # Scout API client wrapper
├── descriptions.ts       # Rich tool and parameter descriptions
├── progress.ts           # Progress notification helper
├── tools/
│   ├── workflows.ts
│   ├── agents.ts
│   ├── collections.ts
│   ├── tables.ts
│   ├── documents.ts
│   ├── syncs.ts
│   ├── triggers.ts
│   ├── copilots.ts
│   ├── logs.ts
│   ├── integrations.ts
│   ├── drive.ts
│   └── usage.ts
├── prompts/
│   ├── scout-explore.ts
│   ├── scout-run-workflow.ts
│   ├── scout-debug-logs.ts
│   ├── scout-create-agent.ts
│   ├── scout-sync-data.ts
│   └── index.ts
└── resources/
    └── index.ts           # Resource definitions

Development Setup

bun install

Local Development

bun run dev

Testing

vitest run

Build

bun run build

Package Check

npm pack --dry-run

Docker

docker build -t scout-os-mcp-server .
docker run -p 9987:9987 -e SCOUT_API_KEY=your_api_key_here scout-os-mcp-server

Health check:

curl http://localhost:9987/health

Deployment (Scout Live)

The server deploys to Scout Live — a container deployment platform built for AI agents. One API call builds and publishes the app.

Deployment Steps

  1. Get a Scout Live API key from scoutos.live/dashboard

  2. Deploy with the helper script:

    SCOUT_LIVE_API_KEY=your_live_key ./scripts/deploy.sh mcp-scout
    
  3. The server is live at https://mcp-scout.scoutos.live

Environment Configuration

Set the Scout OS API key as a secret on the deployed app:

curl -X POST "https://scoutos.live/api/apps/mcp-scout/env" \
  -H "Authorization: Bearer $SCOUT_LIVE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"key": "SCOUT_API_KEY", "value": "your_scout_api_key", "secret": true}'

Redeploy

To update the server, re-run the build command with the same subdomain. Scout Live replaces the running app with zero downtime.

Health Check

The server exposes GET /health for Scout Live health checks:

curl https://scoutos.live/api/apps/mcp-scout/health

Delete

curl -X DELETE "https://scoutos.live/api/apps/mcp-scout" \
  -H "Authorization: Bearer $SCOUT_LIVE_API_KEY"

References

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About Scoutos

How do I install Scoutos?

Run claude mcp add scoutos -- npx -y scoutos-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Scoutos safe to use with an AI agent?

Its trust score is 37 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Scoutos still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.