English Français العربية

Local Model Suitability MCP

السجل الرسمي الإنتاجية

Check if a task runs locally vs cloud. Save money on calls that don't need cloud inference.

الشيفرة المصدرية الموقع التوثيق

التثبيت

أضف هذا إلى إعدادات MCP في عميلك (Claude Desktop: claude_desktop_config.json، وCursor: ‏.cursor/mcp.json، ويستخدم VS Code وغيره الصيغة نفسها «mcpServers»).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http local-model-suitability-mcp 'https://local-model-suitability-mcp-production.up.railway.app'
إعداد JSON (Claude Desktop وCursor وVS Code) 
{
    "mcpServers": {
        "local-model-suitability-mcp": {
            "type": "http",
            "url": "https://local-model-suitability-mcp-production.up.railway.app"
        }
    }
}
NPM package local-model-suitability-mcp
Claude Code 
claude mcp add local-model-suitability-mcp -e 'ANTHROPIC_API_KEY=<your anthropic_api_key>' -- npx -y local-model-suitability-mcp@1.1.23
إعداد JSON (Claude Desktop وCursor وVS Code) 
{
    "mcpServers": {
        "local-model-suitability-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "local-model-suitability-mcp@1.1.23"
            ],
            "env": {
                "ANTHROPIC_API_KEY": "<your anthropic_api_key>"
            }
        }
    }
}

متغيرات البيئة

  • ANTHROPIC_API_KEY إلزامي سري Anthropic API key for Claude routing analysis

التوثيق

مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.

المحتويات
  1. Local Model Suitability MCP
  2. The Tool
  3. Data Sources
  4. Pricing
  5. Setup
  6. Harness Integration
  7. Legal

Local Model Suitability MCP

Cloud inference is expensive. Everything that can run locally should.

This MCP server tells your agent — before every cloud API call — whether the task can be handled by a local model instead. Route to Ollama, LM Studio, or llama.cpp when you can. Only pay for cloud when you must.

The Tool

check_local_viability

Call this BEFORE every cloud inference call. If verdict is LOCAL, skip the cloud call entirely and route to your local model. Only use cloud when this tool returns CLOUD.

Inputs:

FieldRequiredDescription
task✅The exact task you are about to send to a cloud model
quality_thresholdOptionalPRODUCTION (default) / PROTOTYPE / BEST_EFFORT
data_sensitivityOptionalPUBLIC (default) / INTERNAL / CONFIDENTIAL

CONFIDENTIAL forces LOCAL regardless of task complexity — data never leaves the machine.

Response:

{
  "verdict": "LOCAL",
  "confidence": "HIGH",
  "reason": "Simple text summarisation — no reasoning depth required. Any 7B+ local model handles this well.",
  "estimated_cost_saving": "$0.002-0.008 saved per call at claude-sonnet pricing",
  "recommended_local_models": ["llama3.2:8b", "mistral-7b", "phi3:medium"],
  "cloud_justified_reason": null,
  "analysis_type": "AI-powered cost routing — NOT a simple lookup"
}

Data Sources

  • AI reasoning: Anthropic Claude (claude-sonnet) — cost routing analysis
  • No external data sources — pure AI reasoning

Pricing

PlanCallsPrice
Free20/month$0
Starter500-call bundle$20
Pro2,000-call bundle$70

Subscribe at kordagencies.com

Setup

{
  "mcpServers": {
    "local-model-suitability": {
      "command": "npx",
      "args": ["-y", "local-model-suitability-mcp"],
      "env": {
        "ANTHROPIC_API_KEY": "your-key",
        "API_KEY": "your-lms-api-key-for-paid-tier"
      }
    }
  }
}

Free tier requires no API key — tracked by IP.

Harness Integration

Claude Code / Claude Desktop (.mcp.json)
{
  "mcpServers": {
    "local-model-suitability": {
      "type": "http",
      "url": "https://local-model-suitability-mcp-production.up.railway.app"
    }
  }
}
LangChain (Python)
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
    "local-model-suitability": {
        "url": "https://local-model-suitability-mcp-production.up.railway.app",
        "transport": "http"
    }
})
tools = await client.get_tools()
OpenAI Agents SDK (Python)
from agents import Agent, HostedMCPTool
agent = Agent(
    name="Assistant",
    tools=[HostedMCPTool(tool_config={
        "type": "mcp",
        "server_label": "local-model-suitability",
        "server_url": "https://local-model-suitability-mcp-production.up.railway.app",
        "require_approval": "never"
    })]
)
LangGraph

Same as LangChain above — langchain-mcp-adapters works with LangGraph natively.

Results are for cost-optimisation guidance only and do not constitute technical advice. Full terms: kordagencies.com/terms.html

الأسئلة الشائعة

ما هو Local Model Suitability MCP؟

Check if a task runs locally vs cloud. Save money on calls that don't need cloud inference.

كيف أثبّت Local Model Suitability MCP؟

يعمل كخادم بعيد. في Claude Code: claude mcp add --transport http local-model-suitability-mcp 'https://local-model-suitability-mcp-production.up.railway.app'. وفي العملاء الآخرين، الصق إعداد JSON من هذه الصفحة في إعدادات MCP الخاصة بهم.

هل يحتاج Local Model Suitability MCP إلى مفتاح API؟

نعم. يتطلب ANTHROPIC_API_KEY، وتضبطها في إعداداته.

هل Local Model Suitability MCP مفتوح المصدر؟

نعم. شيفرته متاحة على GitHub بترخيص MIT.

من يصون Local Model Suitability MCP؟

ينشره OjasKord. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.

من سجل MCP الرسمي. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.