Local Model Suitability MCP

Name: Local Model Suitability MCP
Author: OjasKord

by OjasKordversion 1.1.23i★ –iComputer or cloud

Registry nameio.github.OjasKord/local-model-suitability-mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 67/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Docs, sheets & office work
You need to fill in: ANTHROPIC_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: ANTHROPIC_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Runs in the cloudNothing to install; it connects over the internet
npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://local-model-suitability-mcp-production.up.railway.app

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "local-model-suitability": {
      "command": "npx",
      "args": [
        "-y",
        "local-model-suitability-mcp"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http local-model-suitability https://local-model-suitability-mcp-production.up.railway.app

Or run it on your computer

claude mcp add local-model-suitability --env ANTHROPIC_API_KEY=your-value -- npx -y local-model-suitability-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "local-model-suitability": {
      "url": "https://local-model-suitability-mcp-production.up.railway.app"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "local-model-suitability": {
      "command": "npx",
      "args": [
        "-y",
        "local-model-suitability-mcp"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "local-model-suitability": {
      "type": "http",
      "url": "https://local-model-suitability-mcp-production.up.railway.app"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "local-model-suitability": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "local-model-suitability-mcp"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://local-model-suitability-mcp-production.up.railway.app

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

ANTHROPIC_API_KEY secret required env
Anthropic API key for Claude routing analysis

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account OjasKord, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Docs, sheets & office worki

More stars than 0% of the other 3547 servers in this category
Published to the registry more recently than 15% of the other 3547 servers in this category
Basic checks equal to or better than 100% of the other 3547 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Local Model Suitability MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: ANTHROPIC_API_KEY

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.23) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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Runs on your computer

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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:

Field	Required	Description
`task`	✅	The exact task you are about to send to a cloud model
`quality_threshold`	Optional	`PRODUCTION` (default) / `PROTOTYPE` / `BEST_EFFORT`
`data_sensitivity`	Optional	`PUBLIC` (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

Plan	Calls	Price
Free	20/month	$0
Starter	500-call bundle	$20
Pro	2,000-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.

Legal

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

Local Model Suitability MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Docs, sheets & office worki

Common questions

Alternatives

Agent-Native Calendar

Excel MCP Server

MCP Server for Excel

README from the maker

Local Model Suitability MCP

The Tool

check_local_viability

Data Sources

Pricing

Setup

Harness Integration

Claude Code / Claude Desktop (.mcp.json)

LangChain (Python)

OpenAI Agents SDK (Python)

LangGraph

Legal

`check_local_viability`