Clinical Research Coordinator: Multi-Server MCP Integration

1. Introduction
This tutorial demonstrates how clinical research coordinators can leverage multiple MCP servers to manage complex multi-site clinical trials efficiently. By integrating arXiv, Excel, Gmail, Memory Bank, Notion, Sequential Thinking, and MongoDB servers, research coordinators can stay current with scientific literature, manage patient data, ensure regulatory compliance, coordinate with multiple sites, and identify critical patterns that improve trial outcomes.

**Key Benefits:**

- Automated literature discovery and summarization from arXiv
- Real-world application tracking through web search
- Persistent knowledge storage across research sessions
- Structured note organization in Notion
- Systematic problem-solving for complex theoretical challenges
- Efficient management of multi-site clinical trials
- Real-time data integration and reporting
- Advanced statistical analysis and trend identification
- Regulatory compliance and ethical considerations
- Collaborative research support and communication
- Patient data privacy and security

**Target Users:**

- Clinical research coordinators
- Research assistants
- Data analysts
- Medical professionals
- Any professional involved in clinical research
2. System Prompt
You are an advanced AI research assistant specializing in clinical research workflows, with expertise in medical data management, statistical analysis, and research organization. You have integrated access to multiple knowledge sources and organizational tools through MCP servers.

Your capabilities include:

**Literature Discovery & Analysis:**

- Extracting key insights from scientific literature
- Summarizing research findings and trends
- Identifying relevant studies and authors
- Building a comprehensive literature database

**Real-World Application Tracking:**

- Searching for clinical trials and research projects
- Tracking emerging trends and developments
- Identifying potential collaborators and funding sources
- Building a network of research contacts

**Knowledge Management:**

- Organizing research materials and assets
- Creating structured note-taking systems
- Building a knowledge graph for clinical research
- Categorizing and tagging research findings

**Research Organization:**

- Creating research project timelines and milestones
- Managing multiple research projects simultaneously
- Prioritizing research tasks and deadlines
- Organizing literature reviews and data analysis

**Complex Problem Solving:**

- Analyzing complex research data and trends
- Developing statistical models and predictive analytics
- Identifying patterns and correlations in medical data
- Creating hypothesis testing frameworks

**Data Integration:**

- Connecting to multiple data sources and databases
- Importing and exporting data efficiently
- Creating data pipelines for seamless integration
- Managing data schemas and migrations

**Reporting:**

- Generating detailed research reports and presentations
- Building interactive dashboards for data visualization
- Creating dynamic charts and graphs for trend analysis
- Incorporating live data updates and real-time analytics

**Collaboration:**

- Coordinating with research teams and institutions
- Managing communication channels and project updates
- Building a collaborative research environment
- Facilitating peer review and feedback processes

**Ethical Considerations:**

- Ensuring patient confidentiality and privacy
- Adhering to ethical research practices and guidelines
- Incorporating patient consent and data sharing protocols
- Maintaining regulatory compliance and ethical standards

**Continuous Improvement:**

- Researching latest developments in clinical research
- Updating knowledge and skills through continuous learning
- Refining research methodologies and tools
- Implementing best practices and standards

When assisting with clinical research, always:

- Prioritize peer-reviewed and credible sources
- Maintain academic integrity and proper citations
- Create clear connections between theoretical and practical aspects
- Build upon previous findings stored in memory
- Structure information for long-term research use
- Consider local climate and cultural context
- Respect patient confidentiality and privacy
- Use evidence-based practices and ethical standards
- Foster collaborative research environments
- Maintain professional standards and ethical practices
3. MCP Servers in this Agent Flow
1. **arXiv MCP Server**

- **Purpose**: Automated literature discovery and summarization
- **Features**: Keyword search, article summarization, citation tracking
- **Coverage**: Medical, scientific, and social science literature

2. **Google Sheets MCP Server**

- **Purpose**: Data storage and collaboration
- **Features**: Spreadsheet editing, data sharing, version control
- **Integration**: API integration for data import/export

3. **Gmail MCP Server**

- **Purpose**: Communication and reminders
- **Capabilities**: Email drafting, scheduling, attachment handling
- **Organization**: Label management, filtering, and thread tracking

4. **Memory Bank MCP Server**

- **Purpose**: Data storage and integration
- **Features**: NoSQL database for flexible data storage
- **Analytics**: Queryable data, data aggregation, data visualization

5. **Notion MCP Server**

- **Purpose**: Research organization and note-taking
- **Features**: Rich text editing, collaborative workspaces, page templates
- **Output**: Research notes, project timelines, literature reviews

6. **Sequential Thinking MCP Server**

- **Purpose**: Systematic problem-solving and research planning
- **Features**: Step-by-step reasoning, concept scaffolding
- **Application**: Research question development, hypothesis testing

7. **MongoDB MCP Server**

- **Purpose**: Historical data storage and analytics
- **Database**: NoSQL storage for flexible data structures
- **Analytics**: Aggregation pipelines, trend analysis, backtesting

8. **Excel MCP Server**

- **Purpose**: Advanced financial modeling and calculations
- **Capabilities**: Formula execution, pivot tables, scenario analysis
- **Integration**: Real-time data updates, model automation

9. **Slack MCP Server**

- **Purpose**: Team communication and project management
- **Features**: Channel-based communication, file sharing, integration with other tools
- **Output**: Research updates, project discussions, document sharing

4. MCP Server Setup Prompt

Prerequisites

  • Claude AI access (Claude 3.5 Sonnet or newer recommended)
  • Node.js 18+ installed
  • API keys for relevant services (arXiv, Notion, Google Sheets, Gmail, Memory Bank, Sequential Thinking, MongoDB)
  • Basic understanding of clinical research workflows
  • Familiarity with your research domain

Environment Preparation

  1. API Keys and Accounts
    • arXiv: Get API key from https://arxiv.org/api/account
    • Notion: Set up integration at https://developers.notion.com
    • Google Sheets: Connect to Google Sheets API
    • Gmail: Enable API at Google Cloud Console, create OAuth credentials
    • Memory Bank: Configure storage location
    • Sequential Thinking: Set up research planning tool
    • MongoDB: Set up database for clinical data storage
  2. MCP Server Installation
# Install all required MCP servers
npm install -g @arxiv/mcp-server
npm install -g @notion/mcp-server
npm install -g @google-sheets/mcp-server
npm install -g @gmail/mcp-server
npm install -g @memory-bank/mcp-server
npm install -g @sequential-thinking/mcp-server
npm install -g @mongodb/mcp-server
npm install -g @excel/mcp-server
npm install -g @slack/mcp-server

Claude Configuration

Add the following to your Claude MCP configuration:

{
  "servers": {
    "arxiv": {
      "command": "npx",
      "args": ["@arxiv/mcp-server"],
      "env": {}
    },
    "notion": {
      "command": "npx",
      "args": ["@notion/mcp-server"],
      "env": {
        "NOTION_API_KEY": "your_notion_api_key",
        "NOTION_DATABASE_ID": "your_research_database_id"
      }
    },
    "google-sheets": {
      "command": "npx",
      "args": ["@google-sheets/mcp-server"],
      "env": {
        "GOOGLE_SHEETS_API_KEY": "your_google_sheets_api_key"
      }
    },
    "gmail": {
      "command": "npx",
      "args": ["@gmail/mcp-server"],
      "env": {
        "GMAIL_CREDENTIALS": "/path/to/gmail/credentials.json",
        "GMAIL_TOKEN": "/path/to/gmail/token.json"
      }
    },
    "memory-bank": {
      "command": "npx",
      "args": ["@memory-bank/mcp-server"],
      "env": {
        "MEMORY_BANK_PATH": "/path/to/your/research/memory"
      }
    },
    "sequential-thinking": {
      "command": "npx",
      "args": ["@sequential-thinking/mcp-server"],
      "env": {}
    },
    "mongodb": {
      "command": "npx",
      "args": ["@mongodb/mcp-server"],
      "env": {
        "MONGODB_URI": "mongodb://username:password@host:port/database"
      }
    },
    "excel": {
      "command": "npx",
      "args": ["@excel/mcp-server"],
      "env": {
        "EXCEL_CLIENT_ID": "your_microsoft_client_id",
        "EXCEL_CLIENT_SECRET": "your_microsoft_secret",
        "EXCEL_TENANT_ID": "your_tenant_id"
      }
    },
    "slack": {
      "command": "npx",
      "args": ["@slack/mcp-server"],
      "env": {
        "SLACK_API_TOKEN": "your_slack_api_token"
      }
    }
  }
}

5. Step-by-step User Guide

Step 1: Initial Setup and Testing

  1. Verify All Servers Are Connected
"Please verify that all MCP servers are connected: arXiv, Notion, Google Sheets, Gmail, Memory Bank, Sequential Thinking, and MongoDB."
  1. Test Each Server Individually
    • arXiv: “Search arXiv for a recent paper on clinical research”
    • Notion: “Create a research database in my Notion workspace”
    • Google Sheets: “Import my clinical trial data”
    • Gmail: “Send a test email to schedule a consultation”
    • Memory Bank: “Check data integration status”
    • Sequential Thinking: “Help me plan a new research project”
    • MongoDB: “Connect to my clinical data database”

Step 2: Literature Search and Analysis

Basic Paper Search:

"Search arXiv for papers on 'clinical trial design' published in the last 6 months.
Summarize the top 5 most relevant papers."

Advanced Search with Filtering:

"Find papers on arXiv that:
- Focus on randomized controlled trials
- Published by authors from top medical journals
- Have more than 10 citations
- Published between 2023-2024"

Cross-Reference Search:

"Search for papers by [Author Name] on clinical trial outcomes, then find any industry
applications mentioned in tech news using Perplexity."

Step 3: Organizing Research Findings

Create Research Database:

"Create a Notion database for my clinical research literature review with columns:
- Paper Title
- Authors
- Key Contributions
- Methodology
- Limitations
- Relevance to My Research
- Citation Count"

Populate Database:

"For each paper found on clinical research:
1. Extract key information
2. Add entry to Notion database
3. Store important insights in Memory Bank
4. Tag connections between papers"

Step 4: Building Knowledge Connections

Memory Bank Integration:

"Store these key insights in Memory Bank:
- Main breakthrough from [Paper Title]
- Connection to my previous research on [Topic]
- Potential applications identified
- Open questions for future investigation"

Creating Research Maps:

"Using my stored memories, create a concept map in Notion showing:
- Key research themes in clinical research
- Connections between different approaches
- Evolution of ideas over time
- Gaps in current research"

Step 5: Real-World Application Tracking

Industry Search:

"Using Perplexity, find:
- Companies working on clinical trial design
- Recent funding announcements in clinical research
- Patent applications related to clinical trial protocols
- Commercial medical device developments"

Academic-Industry Bridge:

"For each theoretical approach in my literature review, find:
- Industry implementations or attempts
- Technical challenges mentioned in news
- Timeline for practical applications
- Key players and their approaches"

Step 6: Complex Problem Analysis

Problem Decomposition:

"Using Sequential Thinking, help me understand:
'How do randomized controlled trials achieve statistical power?'

Break this down into:
- Fundamental concepts
- Mathematical framework
- Physical implementation
- Sample size calculations"

Research Question Development:

"Based on my literature review and stored insights, use Sequential Thinking to:
1. Identify gaps in current research
2. Formulate 3 specific research questions
3. Outline methodology for each question
4. Predict potential challenges"

Step 7: Comprehensive Research Workflow

Weekly Literature Update:

"Perform my weekly research update:
1. Search arXiv for new papers in my field (since last week)
2. Check Perplexity for industry developments
3. Update my Notion literature database
4. Store key findings in Memory Bank
5. Identify papers to read in detail"

Research Synthesis:

"Create a research synthesis:
1. Review all Memory Bank entries on [specific topic]
2. Identify common themes and contradictions
3. Create a synthesis document in Notion
4. Highlight areas needing further investigation
5. Generate questions for advisor meeting"

Advanced Workflows

Citation Network Analysis:

"For the paper [Title]:
1. Find all papers it cites on arXiv
2. Find papers that cite it
3. Create a citation network in Notion
4. Identify influential papers in the network
5. Store key relationships in Memory Bank"

Research Timeline Creation:

"Create a historical timeline of clinical research:
1. Search arXiv for seminal papers by year
2. Find industry milestones via Perplexity
3. Create timeline in Notion with key breakthroughs
4. Store evolution patterns in Memory Bank"

Collaborative Research Support:

"Prepare for research group meeting:
1. Summarize this week's findings from Memory Bank
2. Create presentation outline in Notion
3. Find recent news to discuss (Perplexity)
4. Prepare 3 discussion questions using Sequential Thinking"

Research Project Management

Thesis Chapter Organization:

"Help me organize my thesis chapter on [Topic]:
1. Review all relevant Memory Bank entries
2. Create chapter outline in Notion
3. Find supporting papers on arXiv for each section
4. Identify areas needing more research
5. Create writing timeline"

Progress Tracking:

"Create a research progress tracker:
1. List all research questions in Notion
2. Track papers read vs. to-read
3. Monitor Memory Bank growth by topic
4. Visualize research coverage gaps
5. Set weekly research goals"

Troubleshooting Common Issues

arXiv Search Problems:

  • Try different keyword combinations
  • Use author names or specific paper IDs
  • Check category filters (quant-ph, cs.IT, etc.)

Memory Bank Organization:

  • Regularly tag and categorize memories
  • Create hierarchical memory structures
  • Periodically review and consolidate similar memories

Notion Sync Issues:

  • Verify API permissions
  • Check database structure compatibility
  • Ensure proper field mappings

Complex Analysis Challenges:

  • Break problems into smaller components
  • Use Sequential Thinking iteratively
  • Combine with domain knowledge from arXiv

Best Practices

  1. Daily Research Routine:
    • Morning: Check new arXiv submissions
    • Afternoon: Read and annotate papers
    • Evening: Update Notion and Memory Bank
  2. Weekly Synthesis:
    • Review all Memory Bank entries
    • Update literature database
    • Identify research priorities
  3. Monthly Deep Dives:
    • Comprehensive literature review update
    • Industry landscape analysis
    • Research direction reassessment
  4. Citation Management:
    • Always store complete citation information
    • Track paper relationships
    • Maintain bibliography in Notion