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Overview

mixus comes with several built-in MCP servers that extend your AI assistant’s capabilities. These servers run automatically in the background and are available whenever you need them - just ask questions or make requests that require their functionality. Each MCP server specializes in specific types of data or actions, ensuring secure and efficient access to the information and tools you need.

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Currently Available

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📁 File System Server

What it does: Access and analyze files uploaded to your chats or shared in your organization. Capabilities:
  • Read Documents: PDF, DOCX, TXT, MD, PPTX, XLSX files
  • Analyze Content: Extract information, summarize documents, answer questions about file contents
  • File Operations: View file metadata, check file types and sizes
  • Search Within Files: Find specific information across multiple documents
Example Use Cases:
  • “Summarize the key points from the uploaded quarterly report”
  • “What are the action items mentioned in this meeting transcript?”
  • “Compare the data between these two spreadsheets”
  • “Find all mentions of the budget in these documents”
How to Use:
  1. Upload files to your chat using the attachment button
  2. Ask questions about the uploaded content
  3. AI will automatically access file contents to provide answers

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🌐 Web Search Server

What it does: Access current information from the internet to answer questions with up-to-date data. Capabilities:
  • Real-time Search: Query current web information beyond AI training data
  • News and Updates: Get latest news, announcements, and developments
  • Research Support: Find academic papers, technical documentation, and expert resources
  • Fact Verification: Check current facts, statistics, and information
Example Use Cases:
  • “What are the latest developments in AI regulation this week?”
  • “Find current stock prices for tech companies”
  • “What are the newest features announced by major cloud providers?”
  • “Research best practices for customer onboarding in SaaS”
How to Use:
  1. Ask questions about current events or recent information
  2. Request research on topics that require up-to-date data
  3. AI will automatically search the web when needed and cite sources

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💻 Code Repository Server

What it does: Interact with Git repositories and code files for development assistance. Capabilities:
  • Code Analysis: Review code structure, patterns, and potential issues
  • Repository Exploration: Navigate through project files and directories
  • Documentation: Generate or update code documentation and README files
  • Best Practices: Suggest improvements based on coding standards
Example Use Cases:
  • “Review this code file for potential security vulnerabilities”
  • “Generate documentation for this API endpoint”
  • “Suggest improvements for this function’s performance”
  • “Create a README file for this project based on the code”
How to Use:
  1. Upload code files or share repository information
  2. Ask for code reviews, documentation, or improvements
  3. AI will analyze the code and provide specific feedback

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🗄️ Database Query Server

What it does: Help analyze and query structured data from various sources. Capabilities:
  • Data Analysis: Analyze patterns, trends, and insights from datasets
  • Query Generation: Create SQL queries based on natural language requests
  • Schema Understanding: Understand database structure and relationships
  • Report Generation: Create summaries and reports from data
Example Use Cases:
  • “Analyze user engagement trends from this customer data”
  • “Generate a sales report for the last quarter”
  • “Find the most common support ticket categories”
  • “What are the peak usage hours from this analytics data?”
How to Use:
  1. Upload CSV files or share database information
  2. Ask analytical questions about your data
  3. AI will process the data and provide insights

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📊 Spreadsheet Analysis Server

What it does: Advanced analysis and manipulation of spreadsheet data. Capabilities:
  • Data Processing: Clean, organize, and restructure spreadsheet data
  • Formula Creation: Generate Excel/Google Sheets formulas for complex calculations
  • Visualization Suggestions: Recommend charts and visualizations for data
  • Data Validation: Check for errors, inconsistencies, and data quality issues
Example Use Cases:
  • “Create a pivot table summary of this sales data”
  • “Generate formulas to calculate quarterly growth rates”
  • “Identify data quality issues in this customer list”
  • “Suggest the best chart type to visualize this trend data”
How to Use:
  1. Upload Excel or CSV files to your chat
  2. Ask for data analysis, formula creation, or visualization help
  3. AI will work with your spreadsheet data to provide solutions

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📝 Document Generation Server

What it does: Create and format various types of documents based on your requirements. Capabilities:
  • Document Creation: Generate reports, proposals, memos, and other business documents
  • Template Application: Apply consistent formatting and structure
  • Content Optimization: Improve clarity, tone, and professional presentation
  • Format Conversion: Convert between different document formats
Example Use Cases:
  • “Create a project proposal based on these requirements”
  • “Generate a meeting agenda for our quarterly review”
  • “Draft a customer onboarding guide for new users”
  • “Convert this outline into a formal business report”
How to Use:
  1. Describe the type of document you need
  2. Provide key information, requirements, or source material
  3. AI will generate a professional document meeting your specifications

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How MCP Servers Work Together

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Intelligent Coordination

MCP servers can work together to provide comprehensive solutions: Multi-Source Research
  • Web search for current information
  • File analysis for internal documents
  • Database queries for historical data
  • Combined into a comprehensive report
Development Workflows
  • Code repository analysis for current state
  • Web search for best practices
  • Document generation for technical specs
  • File system updates for documentation
Business Intelligence
  • Spreadsheet analysis for raw data
  • Database queries for additional context
  • Web search for market information
  • Document generation for executive reports

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Automatic Selection

The AI automatically chooses which MCP servers to use based on your request:
  • File uploads → File System Server
  • Current information → Web Search Server
  • Code questions → Code Repository Server
  • Data analysis → Database/Spreadsheet Servers
  • Document creation → Document Generation Server

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Security and Privacy

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Built-in Protections

Data Isolation
  • Each MCP server operates in a secure sandbox
  • No cross-contamination between different data sources
  • Clear boundaries between personal and organizational data
Access Control
  • User permission required for accessing sensitive information
  • Granular control over which servers can access what data
  • Audit trails for all server interactions
Privacy First
  • No data stored permanently on servers
  • Processing happens in real-time and results are discarded
  • Complete user control over data sharing and access

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Transparency

Clear Attribution
  • Sources are always cited when information comes from MCP servers
  • Visual indicators show when external data is being accessed
  • Complete audit trail of what information was retrieved
User Control
  • Enable or disable specific MCP servers as needed
  • Granular permissions for different types of data access
  • Ability to revoke access at any time

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Getting the Most from MCPs

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Best Practices

  1. Be Specific: Clear requests help AI choose the right servers and provide better results
  2. Provide Context: Include relevant background information for more accurate responses
  3. Use Natural Language: Describe what you need without worrying about technical details
  4. Review Sources: Check citations and sources for accuracy and relevance

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Optimization Tips

  • Combine Requests: Ask for multiple types of analysis in one query
  • Iterate: Build on previous responses to dive deeper into topics
  • Verify Results: Cross-check important information with multiple sources
  • Organize Data: Well-structured input data leads to better analysis

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What’s Coming Next

New MCP servers are actively being developed, including:
  • Email Integration: Access and manage email communications
  • Calendar Services: Schedule and time management capabilities
  • CRM Systems: Customer relationship management integration
  • Project Management: Task and project tracking tools
  • Business Intelligence: Advanced analytics and reporting platforms
Current MCP servers provide powerful capabilities for file analysis, web research, code review, data analysis, and document generation. These tools work automatically in the background, making your AI assistant more capable and intelligent.
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