skillfm-llm-cost-optimizer-mcp
Provides cost optimization and usage visibility for OpenAI API usage, helping to reduce spend and monitor token consumption.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@skillfm-llm-cost-optimizer-mcpHow can I reduce my OpenAI costs?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 and local runtime.
Powered by SkillFM Beacon.
Quick Start
Use this gateway as an MCP stdio server:
npx -y @skillfm/llm-cost-optimizer-mcp@latestEquivalent explicit SkillFM entrypoint:
npx -y @skillfm/mcp@latestFor MCP clients that accept JSON config:
{
"mcpServers": {
"llm-cost-optimizer": {
"command": "npx",
"args": ["-y", "@skillfm/llm-cost-optimizer-mcp@latest"]
}
}
}Related MCP server: whichmodel-mcp
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:
npx -y @skillfm/llm-cost-optimizer-mcp@latest startAgent-driven activation flow:
Read the sidecar URL from stdout or
~/.skillfm/local.json.Call
POST <sidecar_url>/activate/start.Show the returned verification URL and real device code to the user.
Poll
POST <sidecar_url>/activate/polluntil it returnsactivated: true.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 and 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-costcostoptimizeropenaianthropicusageskillfm
License
MIT
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