Ollama Deep Research MCP Servers

Overview

Ollama Deep Research MCP servers provide interfaces for LLMs to interact with research tools, document analysis, and knowledge extraction capabilities. These servers enable AI models to perform deep research tasks while maintaining efficiency and accuracy.

Core Components

Research Server

class OllamaResearchServer extends MCPServer {
  capabilities = {
    tools: {
      'analyzeDocument': async (params) => {
        // Analyze research documents
      },
      'extractCitations': async (params) => {
        // Extract and validate citations
      },
      'synthesizeFindings': async (params) => {
        // Summarize research findings
      }
    },
    resources: {
      'knowledgeBase': async () => {
        // Access research database
      }
    }
  }
}

Implementation Examples

Document Processing

class DocumentProcessor extends MCPServer {
  async initialize() {
    return {
      tools: {
        'parseDocument': this.handleDocumentParsing,
        'crossReference': this.performCrossReferencing,
        'generateSummary': this.createResearchSummary
      }
    };
  }

  private async handleDocumentParsing({ document, format }) {
    // Implement document parsing logic
  }
}

Configuration Options

ollama:
  models:
    - name: "research-assistant"
      context: 8192
    - name: "citation-analyzer"
      context: 4096
  
research:
  maxDepth: 3
  citationStyle: "APA"
  languageSupport: ["EN", "DE", "FR"]

Security Guidelines

1. Data Protection

   • Document encryption
   • Source verification
   • Access logging

2. Citation Integrity

   • Source validation
   • Reference checking
   • Plagiarism detection

Common Use Cases

1. Literature Review

   • Systematic review
   • Meta-analysis
   • Bibliography management

2. Knowledge Extraction

   • Key concept identification
   • Relationship mapping
   • Trend analysis

3. Research Synthesis

   • Finding aggregation
   • Gap analysis
   • Recommendation generation

Best Practices

1. Document Processing

   • Format handling
   • Metadata extraction
   • Version control

2. Knowledge Management

   • Topic organization
   • Reference linking
   • Citation tracking

Testing Strategies

1. Analysis Testing

   • Content extraction
   • Citation validation
   • Summary accuracy

2. Integration Testing

   • Database connectivity
   • API compatibility
   • Performance benchmarking