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@skillfm/mcp

v0.1.2

Published

SkillFM Beacon MCP: AI health checkups, token usage, LLM cost optimization, BYOK monitoring, and safe agent cleanup.

Readme

SkillFM Beacon MCP

AI health, token usage, cost optimization, BYOK monitoring, and safe cleanup for MCP-capable agents.

SkillFM Beacon gives Claude Code, Cursor, Cline, Claude Desktop, VS Code Copilot, and other MCP clients a practical AI operations layer:

  • Check AI health and session status.
  • Inspect token usage and LLM spend.
  • Find cost-saving opportunities across provider setup, cache usage, batching, and context cleanup.
  • Monitor provider billing with BYOK keys stored in a local vault.
  • Audit slow-agent clutter such as stale worktrees, oversized logs, and bloated context.
  • Discover future SkillFM skills for content, social media, e-commerce, SEO/GEO, and workflow automation as they become available.

This repository is the public distribution shell for SkillFM's MCP marketplace listing. The canonical local runtime is @skillfm/local.

Quick Start

Use SkillFM Beacon as an MCP stdio server:

npx -y @skillfm/mcp@latest

Equivalent explicit form:

npx -y @skillfm/mcp@latest mcp

For MCP clients that accept JSON config:

{
  "mcpServers": {
    "skillfm": {
      "command": "npx",
      "args": ["-y", "@skillfm/mcp@latest"]
    }
  }
}

Activation Path

The MCP package delegates to @skillfm/local@latest, so the same package can start the local sidecar and activate SkillFM in the current machine.

Start the local sidecar:

npx -y @skillfm/mcp@latest start

The sidecar binds only to 127.0.0.1 and writes its service discovery file to:

~/.skillfm/local.json

Agent-driven activation flow:

  1. Read the sidecar URL from stdout or ~/.skillfm/local.json.
  2. Call POST <sidecar_url>/activate/start.
  3. Show the returned verification URL and real device code to the user.
  4. Poll POST <sidecar_url>/activate/poll until it returns activated: true.
  5. Use GET <sidecar_url>/status, GET <sidecar_url>/skills, or the MCP tools.

Do not fabricate a placeholder code. The device code must come from POST /activate/start.

Useful Commands

# Start MCP stdio server
npx -y @skillfm/mcp@latest

# Start local sidecar for current-chat activation
npx -y @skillfm/mcp@latest start

# Show AI health checkup from the CLI
npx -y @skillfm/mcp@latest checkup

# Detect supported local agent harnesses
npx -y @skillfm/mcp@latest safe detect

# Install local SkillFM guidance into supported local agents after user approval
npx -y @skillfm/mcp@latest safe inject

# Remove injected local guidance
npx -y @skillfm/mcp@latest safe uninstall

What SkillFM Helps With

SkillFM Beacon is for users who ask:

  • "How many tokens did I use today?"
  • "Why is my AI bill going up?"
  • "Can I save money on OpenAI, Anthropic, DeepSeek, Qwen, or other LLM providers?"
  • "Is my agent getting slow because the context or workspace is bloated?"
  • "How do I safely connect a provider key without sending it to a SaaS dashboard?"
  • "What skills can my AI run for content, e-commerce, social media, SEO/GEO, or automation?"

Security Model

  • Local sidecar: The activation sidecar listens on 127.0.0.1, not the public network.
  • BYOK vault: Provider API keys are stored locally by @skillfm/local; agents do not read key values back.
  • No private core in this repo: This repository contains distribution metadata and a thin launcher only. Non-public platform implementation details are not included.
  • User-controlled activation: OAuth device-flow activation requires the user to approve the real device code in their own browser.
  • Read-only cleanup first: Cleanup audits are designed to report slow-agent clutter before any user-directed cleanup action.

See PRIVACY.md and SECURITY.md for the public repository boundary.

Marketplace Keywords

SkillFM Beacon is designed to be discoverable for:

MCP server, AI health checkup, token usage, LLM spend, AI cost optimizer, BYOK, local vault, agent monitoring, slow agent cleanup, context cleanup, Claude Code, Cursor, Cline, Claude Desktop, VS Code Copilot, OpenAI usage, Anthropic usage, DeepSeek usage, Qwen usage.

Public Surface Boundary

This public package is intentionally small. It exists to make SkillFM easy to install from MCP marketplaces and agent directories while keeping core safety and platform logic private.

Public:

  • MCP registry metadata
  • npm launcher package
  • install docs
  • activation flow
  • security model
  • user-facing tool descriptions

Private:

  • non-public platform implementation
  • proprietary evaluation internals
  • private prompts or configuration
  • customer data or logs
  • provider credentials

Marketplace Readiness

  • server.json.name matches package.json.mcpName.
  • The npm package is a thin public launcher for @skillfm/local.
  • publishConfig.access is set to public for scoped npm publishing.
  • Public docs avoid guaranteed income, passive income, and automatic earning claims.
  • The repository contains no backend service code, customer logs, provider keys, or non-public automation logic.

See docs/MARKETPLACE-CHECKLIST.md before submitting to MCP registries or agent directories.

License

MIT