MCP Intranet OnBotGo

by reyer3

282 downloads

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About

Model Context Protocol (MCP) Server para administración inteligente de tareas del equipo OnBotGo. Integra APIs existentes de Apiaim e Intranet con capacidades de IA para gestión optimizada de proyectos.

Details

Author: reyer3
Downloads: 282
Categories: Other, Project Management

- Automatic task creation from natural language descriptions
- Intelligent assignment based on workload and expertise
- Automatic client and project detection
- Dependency management and complex workflow support
- Google Identity Toolkit and OAuth 2.1 authentication
- Granular role‑based permissions and persistent sessions

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name MCP Intranet OnBotGo

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

From the repository

Clone the repository, set up a Python virtual environment, install dependencies from requirements.txt, copy .env.example to .env and fill in credentials, then run python -m mcp_onbotgo.server.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcp intranet onbotgo": {
            "mcp-intranet-onbotgo": {
                "command": "python",
                "args": [
                    "-m",
                    "venv",
                    "venv"
                ]
            }
        }
    }
}

McpServers

{
    "mcp-intranet-onbotgo": {
        "command": "python",
        "args": [
            "-m",
            "venv",
            "venv"
        ]
    }
}

MCP Intranet OnBotGo

🚀 Model Context Protocol Server para Administración Inteligente de Tareas

Este proyecto implementa un servidor MCP (Model Context Protocol) que revoluciona la gestión de tareas del equipo OnBotGo, integrando sus APIs existentes de Apiaim e Intranet con capacidades avanzadas de IA.

✨ Características Principales

🎯 Gestión Inteligente de Tareas

- Creación automática de tareas desde descripción en lenguaje natural - Asignación inteligente basada en carga de trabajo y expertise - Detección automática de clientes y proyectos relacionados - Gestión de dependencias y flujos de trabajo complejos

🔐 Autenticación Robusta

- Integración completa con Google Identity Toolkit - OAuth 2.1 para máxima seguridad - Gestión de permisos granular por rol - Sesiones persistentes con MCP

🤖 Capacidades de IA

- Análisis semántico de descripciones de tareas - Priorización automática basada en contexto - Sugerencias inteligentes de asignación - Detección de conflictos y dependencias

🔄 Integración con APIs Existentes

- BuscarClientes - Búsqueda y asociación automática - CrearTareaEnTablero - Creación optimizada de tareas - ActualizarTareaEnTablero - Actualizaciones inteligentes - AgregarComentarioATarea - Comentarios contextuales - Gestión de usuarios completa

🚀 Instalación Rápida

1. Clonar el Repositorio

git clone https://github.com/reyer3/mcp-intranet-onbotgo.git
cd mcp-intranet-onbotgo

2. Configurar Entorno Virtual

python -m venv venv
source venv/bin/activate  # En Windows: venv\Scripts\activate

3. Instalar Dependencias

pip install -r requirements.txt

4. Configuración de Variables de Entorno

```bash cp .env.example .env

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About

Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

MCP Intranet OnBotGo

🚀 Model Context Protocol Server para Administración Inteligente de Tareas

✨ Características Principales

🎯 Gestión Inteligente de Tareas

🔐 Autenticación Robusta

🤖 Capacidades de IA

🔄 Integración con APIs Existentes

🚀 Instalación Rápida

1. Clonar el Repositorio

2. Configurar Entorno Virtual

3. Instalar Dependencias

4. Configuración de Variables de Entorno

Install

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