# SkillFM LLM Cost Optimizer [Health: Active]

**Category:** 💰 Finance & Fintech  
**Repository:** https://github.com/ericm1018/skillfm-llm-cost-optimizer-mcp  
**GitHub Stars:** 0  
**Views:** 0  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/skillfm-llm-cost-optimizer

## Description
LLM cost optimizer for OpenAI, Anthropic, token usage, BYOK, and SkillFM Beacon audits.

## Claude Desktop Quick Installation
Install path detected from listing signals. Uses `npx` (confidence: high):

```json
"mcpServers": {
  "skillfm-llm-cost-optimizer": {
    "command": "npx",
    "args": ["-y","@skillfm/llm-cost-optimizer-mcp@latest"]
  }
}
```

## Documentation & README

# SkillFM LLM Cost Optimizer MCP

**LLM cost optimization and provider usage visibility for MCP-capable agents.**

This repository is a transparent SkillFM gateway package. It exists to match a specific marketplace/search intent, then delegates execution to the canonical [SkillFM Beacon MCP](https://www.npmjs.com/package/@skillfm/mcp) and local runtime.

Powered by SkillFM Beacon.

## Quick Start

Use this gateway as an MCP stdio server:

```bash
npx -y @skillfm/llm-cost-optimizer-mcp@latest
```

Equivalent explicit SkillFM entrypoint:

```bash
npx -y @skillfm/mcp@latest
```

For MCP clients that accept JSON config:

```json
{
  "mcpServers": {
    "llm-cost-optimizer": {
      "command": "npx",
      "args": ["-y", "@skillfm/llm-cost-optimizer-mcp@latest"]
    }
  }
}
```

## What This Gateway Helps With

- Turn LLM spend questions into SkillFM Beacon usage and health checks.
- Guide users from rough token visibility to provider-level BYOK monitoring when they are ready.
- Surface cost-saving opportunities in context, model choice, cache use, batching, and repeated work.
- Keep the public package thin while delegating execution to the SkillFM local runtime.

This gateway is for users who ask:

- "How do I reduce OpenAI or Anthropic spend?"
- "Which agent workflow is burning tokens?"
- "Can I optimize LLM cost without sending keys to a SaaS dashboard?"
- "How do I connect provider usage after I trust the local checkup?"

## How It Works

The public package is intentionally thin. It sets `SKILLFM_GATEWAY_SOURCE=llm-cost-optimizer` and forwards execution to `@skillfm/mcp@latest`, which then delegates to the canonical `@skillfm/local` runtime.

No private SkillFM platform logic, customer data, provider credentials, or backend modules live in this repository.

## Activation Path

Start the local sidecar when the user wants to connect SkillFM:

```bash
npx -y @skillfm/llm-cost-optimizer-mcp@latest start
```

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 SkillFM Beacon MCP tools for checkups, usage visibility, BYOK guidance, and cleanup audits.

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

## Security Model

- **Transparent gateway**: This package is a public search/distribution gateway, not a separate hidden product.
- **Local-first runtime**: Runtime execution goes through SkillFM's local package.
- **BYOK boundary**: Provider keys are introduced only after user value is established, and key values are not read back by agents.
- **No private core**: This repository contains distribution metadata, docs, and a thin launcher only.
- **Read-only first**: Cleanup and usage inspection begin with read-only audits.

See [PRIVACY.md](https://github.com/ericm1018/skillfm-llm-cost-optimizer-mcp/blob/HEAD/PRIVACY.md) and [SECURITY.md](https://github.com/ericm1018/skillfm-llm-cost-optimizer-mcp/blob/HEAD/SECURITY.md).

## Marketplace Keywords

LLM cost optimizer, OpenAI usage, Anthropic usage, token usage, AI cost optimizer, BYOK, SkillFM Beacon, MCP server.

Expected Official MCP Registry single-token hits:

- `llm-cost`
- `cost`
- `optimizer`
- `openai`
- `anthropic`
- `usage`
- `skillfm`

## License

MIT