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Explore the comprehensive library of pre-built MCP tools and integrations available on Comput3 Network for immediate use with your AI models.

Available MCP Tools

Development Tools

Complete GitHub repository and project managementCapabilities:
  • Repository browsing and file access
  • Issue tracking and management
  • Pull request review and comments
  • Commit history and code analysis
  • Organization and team management
Example Queries:
  • “Show me the latest commits in the frontend repository”
  • “Create an issue for the bug we just discussed”
  • “Review the open pull requests and summarize the changes”
  • “Find similar issues in our repository history”
Setup Requirements:
  • GitHub App or OAuth token
  • Repository access permissions
  • Organization admin approval (for org-wide access)
GitLab project and pipeline managementCapabilities:
  • Project and group access
  • Merge request management
  • CI/CD pipeline monitoring
  • Issue and epic tracking
  • Wiki and documentation access
Configuration:
{
  "name": "gitlab-projects",
  "server_type": "gitlab",
  "config": {
    "base_url": "https://gitlab.com/api/v4",
    "authentication": {
      "type": "personal_access_token",
      "token_env": "GITLAB_TOKEN"
    }
  }
}
Safe code execution environmentSupported Languages:
  • Python with popular libraries (pandas, numpy, matplotlib)
  • JavaScript/Node.js with npm packages
  • Shell commands (restricted for security)
  • SQL queries (read-only by default)
Security Features:
  • Sandboxed execution environment
  • Resource limits (CPU, memory, time)
  • Network access controls
  • File system restrictions

Communication Tools

Full Slack workspace integrationCapabilities:
  • Channel message history and search
  • Direct message access (with permissions)
  • File and document sharing
  • User and channel management
  • Automated message posting
Example Usage:
  • “Summarize today’s messages in the #development channel”
  • “Send a status update to the team Slack”
  • “Find discussions about the new feature in Slack history”
Required Permissions:
{
  "scopes": [
    "channels:read",
    "channels:history", 
    "chat:write",
    "files:read",
    "users:read"
  ]
}
Discord server and community managementFeatures:
  • Server and channel access
  • Message history and search
  • User management and roles
  • Bot integration capabilities
Setup:
{
  "name": "community-discord",
  "server_type": "discord",
  "config": {
    "bot_token_env": "DISCORD_BOT_TOKEN",
    "guild_id": "your-server-id",
    "permissions": {
      "read_messages": true,
      "send_messages": true,
      "manage_messages": false
    }
  }
}
Email account and management integrationProviders Supported:
  • Gmail (via Google API)
  • Outlook (via Microsoft Graph)
  • IMAP/SMTP servers
  • Custom email APIs
Capabilities:
  • Email reading and search
  • Draft creation and sending
  • Attachment handling
  • Calendar integration

Data and Analytics Tools

Multi-database support with read/write capabilitiesSupported Databases:
  • PostgreSQL: Full SQL query support
  • MySQL: Complete database access
  • SQLite: Local database files
  • MongoDB: Document database queries
  • Redis: Cache and session data
  • ClickHouse: Analytics and time-series data
Features:
  • Natural language to SQL translation
  • Query result analysis and visualization
  • Schema discovery and documentation
  • Data quality assessment
Access files and documents from cloud storageSupported Providers:
  • AWS S3: Bucket and object access
  • Google Drive: File and folder management
  • Dropbox: Personal and business accounts
  • OneDrive: Microsoft cloud storage
  • Box: Enterprise file sharing
Capabilities:
  • File listing and search
  • Content reading and analysis
  • File upload and management
  • Sharing and permission management
Business intelligence and analytics integrationSupported Platforms:
  • Google Analytics: Website and app analytics
  • Mixpanel: Product analytics
  • Amplitude: User behavior analytics
  • Tableau: Business intelligence dashboards
  • Power BI: Microsoft analytics platform
Use Cases:
  • Automated report generation
  • Trend analysis and insights
  • Performance monitoring
  • User behavior analysis

Productivity Tools

Complete Google Workspace integrationServices Included:
  • Gmail: Email management and search
  • Google Drive: File storage and sharing
  • Google Docs: Document creation and editing
  • Google Sheets: Spreadsheet analysis
  • Google Calendar: Event management
Example Workflows:
  • “Analyze the data in this Google Sheet and create a summary”
  • “Schedule a meeting based on team availability”
  • “Search my Gmail for emails about the project”
Microsoft 365 and Office integrationServices:
  • Outlook: Email and calendar management
  • OneDrive: File storage and collaboration
  • Word: Document processing
  • Excel: Spreadsheet analysis
  • Teams: Communication and collaboration
Authentication: Microsoft Graph API with OAuth 2.0
Notion database and page managementCapabilities:
  • Database queries and analysis
  • Page content reading and creation
  • Property updates and management
  • Relation and rollup calculations
Configuration:
{
  "name": "company-notion",
  "server_type": "notion",
  "config": {
    "integration_token_env": "NOTION_TOKEN",
    "database_ids": {
      "projects": "database-id-1",
      "tasks": "database-id-2"
    }
  }
}

Tool Usage Examples

Development Workflow

"Review the latest pull request in the backend repository. 
Check for potential security issues, code quality problems, 
and suggest improvements. Also check if tests are included."

Business Intelligence

"Analyze our sales data from the PostgreSQL database. 
Show trends for the last quarter, identify top-performing 
products, and highlight any concerning patterns."

Content Management

"Analyze all the PDF documents in our Google Drive 'Research' 
folder. Extract key insights, create a summary, and identify 
common themes across the documents."

Custom Tool Development

Building MCP Servers

1

Choose Implementation

Select your preferred technology stack for building MCP servers.
Using the official MCP Python SDK
from mcp import MCPServer, Resource, Tool

server = MCPServer("custom-tool")

@server.resource("users")
def get_users():
    # Return user data
    return {"users": [...]}

@server.tool("send_notification")
def send_notification(message: str):
    # Send notification logic
    return {"status": "sent"}
2

Deploy MCP Server

Host your custom MCP server for use with Comput3 Network.Deployment Options:
  • Docker containers on any cloud provider
  • Serverless functions (AWS Lambda, Google Cloud Functions)
  • Traditional VPS or dedicated servers
  • Kubernetes clusters for scalability
3

Register with Comput3

Add your custom MCP server to your Comput3 account configuration.
{
  "name": "my-custom-tool",
  "server_type": "custom",
  "config": {
    "url": "https://your-mcp-server.com",
    "authentication": {
      "type": "api_key",
      "key_env": "CUSTOM_MCP_KEY"
    }
  }
}

Enterprise Features

Team Management

Shared Configurations

Share MCP server configurations across team members with role-based access.

Audit Logging

Complete audit trails for all MCP operations and data access.

Access Controls

Fine-grained permissions for different team roles and responsibilities.

Usage Monitoring

Track MCP usage across team members and optimize resource allocation.

Compliance and Governance

Ensure data access complies with organizational policies
  • Data classification and labeling
  • Access approval workflows
  • Retention policy enforcement
  • Data lineage tracking
Generate reports for regulatory compliance
  • GDPR data access reports
  • SOX compliance documentation
  • HIPAA audit trails
  • Custom compliance frameworks
Identify and mitigate data access risks
  • Anomaly detection for unusual access patterns
  • Automated risk scoring
  • Policy violation alerts
  • Incident response workflows

Getting Help