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Monkeymcp

by jamesmontemagnoversion 2.0.3i★ –iRuns on your computer
Registry nameio.github.jamesmontemagno/monkeymcp

Install

Overview

Description from the maker (original English)

MCP server providing monkey data, journeys, and location services for various monkey species.

PopNx MCP’s three pillars

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

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: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

Which app do you use?

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

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

{
  "mcpServers": {
    "monkeymcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/jamesmontemagno/monkeymcp:2.0.3"
      ]
    }
  }
}

Run this in your terminal

claude mcp add monkeymcp -- docker run -i --rm docker.io/jamesmontemagno/monkeymcp:2.0.3

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "monkeymcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/jamesmontemagno/monkeymcp:2.0.3"
      ]
    }
  }
}

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": {
    "monkeymcp": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/jamesmontemagno/monkeymcp:2.0.3"
      ]
    }
  }
}

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account jamesmontemagno, 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 applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32744 servers in this category
  • Published to the registry more recently than 0% of the other 32744 servers in this category
  • Basic checks equal to or better than 100% of the other 32744 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 Monkeymcp 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.0.3) reached the registry 13 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Date Math

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Date Math

by JowenDelaPena

Exact date/time math for agents: business days, holidays, time zones, cron, RRULE, SLA. x402 paid.

Runs in the cloudUpdated today
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.

Monkey - Model Context Protocol (MCP) Server

Overview

This is a Model Context Protocol (MCP) server implementation built with .NET 9.0. The MCP server provides a communication protocol for facilitating interactions between various components in a model-driven system. This implementation demonstrates how to set up a basic MCP server with custom tools and services.

Try it

Quick Install for VS Code & VS

Configure in VS Code with GitHub Copilot, Claude Desktop, or other MCP clients:

Option 1: Remote Azure Functions Server (Recommended)
{

"servers": { "monkeymcp": { "url": "https://func-monkeymcp-3t4eixuap5dfm.azurewebsites.net/", "type": "http" } }, "inputs": [] }

Option 2: Docker Container
{

"inputs": [], "servers": { "monkeymcp": { "command": "docker", "args": [ "run", "-i", "--rm", "jamesmontemagno/monkeymcp" ], "env": {} } } }

Features

Core Components
  • MCP Server: Built using the ModelContextProtocol library (version 0.1.0-preview.2)
  • Standard I/O Transport: Uses stdio for communication with clients
  • Custom Tool Integration: Includes examples of how to create and register MCP tools
Services
  • MonkeyService: A sample service that fetches monkey data from an API endpoint
  • Provides methods to retrieve a list of all monkeys or find a specific monkey by name
  • Caches results for better performance
  • MonkeyLocationService: A service that generates unique journeys and activities for monkeys
  • Creates randomized path points based on monkey species behavior
  • Generates species-specific activities (grooming, howling, hot spring bathing, etc.)
  • Provides health statistics and movement patterns
  • Each journey includes fun activities like eating bananas, cleaning other monkeys, and exploration
Available Tools

The server exposes several tools that can be invoked by clients:

Monkey Tools
  • GetMonkeys: Returns a JSON serialized list of all available monkeys
  • GetMonkey: Retrieves information about a specific monkey by name
  • GetMonkeyJourney: Creates a unique journey path with activities and health stats for a specific monkey
  • GetAllMonkeyJourneys: Generates journey paths for all available monkeys

Configuration Options

Hosting Configuration

The server uses Microsoft.Extensions.Hosting (version 9.0.3) which provides:

  • Configuration from multiple sources (JSON, environment variables, command line)
  • Dependency injection for services
  • Logging capabilities
Logging Options

Several logging providers are available:

  • Console: Logs to standard output
  • Debug: Logs for debugging purposes
  • EventLog: Logs to the system event log (when running on Windows)
  • EventSource: Provides ETW (Event Tracing for Windows) integration

Getting Started

Prerequisites
  • .NET 9.0 SDK or later
  • Basic understanding of the Model Context Protocol (MCP)
Running the Server
  1. Clone this repository
  2. Navigate to the project directory
  3. Build the project: dotnet build
  4. Configure with VS Code or other client:
"monkeyserver": {

"type": "stdio", "command": "dotnet", "args": [ "run", "--project", "/Users/jamesmontemagno/GitHub/TestMCP/MonkeyMCP/MonkeyMCP.csproj" ] }

Update the path to the project

Extending the Server

To add custom tools:

  1. Create a class and mark it with the [McpServerToolType] attribute
  2. Add methods with the [McpServerTool] attribute
  3. Optionally add [Description] attributes to provide documentation

Example:

[McpServerToolType]

public static class CustomTool { [McpServerTool, Description("Description of what the tool does")] public static string ToolMethod(string param) => $"Result: {param}"; }

Server-Sent Events Implementation (MonkeyMCPSSE)

Overview

The MonkeyMCPSSE project provides an alternative implementation of the Monkey MCP server using Server-Sent Events (SSE) over HTTP instead of stdio transport. This implementation runs as a web server, making it ideal for web-based clients and scenarios requiring HTTP-based communication.

Read more about SSE best practices for security here

Features
  • HTTP-based Transport: Runs on http://localhost:3001 by default
  • Server-Sent Events: Enables real-time, one-way communication from server to client
  • ASP.NET Core Integration: Built using ASP.NET Core's web server capabilities
  • MCP over HTTP: Implements the Model Context Protocol over HTTP transport
Running the SSE Server
  1. Navigate to the MonkeyMCPSSE directory
  2. Build and run the project:
  3. Connect and run in VS Code or using MCP Inspector npx @modelcontextprotocol/inspector
Implementation Details

The SSE implementation uses ASP.NET Core's built-in web server capabilities while maintaining the same monkey data service and tools as the stdio version. This makes it easy to switch between transport methods while keeping the core functionality intact.

Project Structure

  • /MonkeyMCP: Main project directory
  • MonkeyService.cs: Implementation of the service to fetch monkey data
  • MonkeyTools.cs: MCP tools for accessing monkey data
  • Program.cs: Entry point that configures and starts the MCP server

Dependencies

  • Microsoft.Extensions.Hosting (9.0.3): Provides hosting infrastructure
  • ModelContextProtocol (0.1.0-preview.2): MCP server implementation
  • System.Text.Json (9.0.3): JSON serialization/deserialization

License

This project is available under the MIT License.

MonkeyLocationService Features

The MonkeyLocationService provides rich simulation capabilities:

Monkey Type Configurations
  • Baboons: Savanna dwellers with social grooming behaviors and root foraging
  • Howler Monkeys: Forest inhabitants known for territorial howling and leaf eating
  • Japanese Macaques: Mountain monkeys that enjoy hot springs and snow play
  • Proboscis Monkeys: Mangrove specialists that swim and show off their distinctive noses
  • Golden Snub-Nosed Monkeys: High-altitude acrobats that huddle for warmth
Journey Components
  • Path Points: GPS coordinates showing where the monkey traveled
  • Activities: Species-specific behaviors with energy costs/benefits
  • Health Stats: Energy, happiness, hunger, social, stress, and health metrics
  • Time Tracking: Start/end times and activity durations
  • Distance Calculation: Total journey distance using Haversine formula
Unique Activities Include
  • Banana finding and eating
  • Mutual grooming sessions
  • Territory marking
  • Hot spring bathing (macaques)
  • Swimming (proboscis monkeys)
  • Acrobatic displays
  • Social interactions
  • Foraging and exploration
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