Professional text analysis and processing tools that run locally with enterprise-grade security and zero data externalization.
Privacy-preserving tools that extend Apple's on-device capabilities
All analysis runs locally with PII redaction and zero-knowledge architecture
21 professional tools for analysis, summarization, and content processing
Comprehensive security testing with OWASP-aligned protection
Swift 6 concurrency with 100+ concurrent request handling
Runs on macOS, Linux, and Docker containers
Core functionality works without network connectivity
Enterprise-grade text analysis and processing capabilities
Local Intelligence MCP provides 25 specialized tools for comprehensive text processing, analysis, and content management. From basic text normalization to advanced semantic analysis, these tools run entirely on your local system with enterprise-grade security and zero data externalization.
Process incoming documents by first normalizing text formatting, chunking large files into manageable pieces, applying PII redaction to protect sensitive information, then generating executive summaries for quick review while maintaining full document context.
Analyze customer feedback by detecting content purpose, extracting sentiment and intent, generating relevant tags for categorization, and creating similarity rankings to identify related issues. The system can process thousands of feedback entries while preserving privacy.
Transform research materials by rewriting for clarity, extracting structured data schemas, generating focused summaries on specific topics, and cataloging content for easy retrieval. Perfect for academic papers, technical documentation, and market research.
Convert meeting transcripts into actionable insights by analyzing discussion intent, rewriting disorganized content, generating session summaries with key decisions, and creating token counts for documentation planning. All processing happens locally to maintain confidentiality.
Normalize, chunk, rewrite, and clean text with advanced formatting and redaction capabilities
Detect intent, analyze content, process feedback, and generate embeddings for semantic understanding
Create standard, focused, and enhanced summaries with configurable depth and style options
Extract tags, schemas, and similarity rankings from unstructured text content
Monitor health, retrieve system information, and list available capabilities
Get started in minutes with your preferred platform
git clone https://github.com/bretbouchard/Local_Intelligence_MCP.git
cd Local_Intelligence_MCP
swift run LocalIntelligenceMCPdocker-compose up -dcurl -X POST http://localhost:3000 \
-H "Content-Type: application/json" \
-d '{"jsonrpc": "2.0", "id": 1, "method": "tools/list"}'Works with all major AI platforms and development environments
Join thousands of developers using Local Intelligence MCP for privacy-preserving text processing.