The MCP server for the 1000 Genomes Project dataset provides real - time natural language access to 3202 samples, 138 million variants, and approximately 442 billion genotypes in the Dnaerys variant storage, supporting screening and analysis based on coordinates, annotations, and genetic patterns.

FEGIS is a structured cognitive framework based on the Anthropic model context protocol, supporting the definition of cognitive tools through patterns and the persistent storage of cognitive products.

Grigori is a desktop application that helps developers manage and organize programming specifications, architectural patterns, and development preferences through the MCP protocol, enabling AI programming assistants to access personalized coding contexts.

Octocode MCP is an advanced AI code assistant that provides intelligent search and discovery functions across the GitHub and npm ecosystems. It helps developers quickly understand codebases, analyze project architectures, discover security patterns, and supports enterprise-level security and cross-platform use.

A memory system that enhances AI programming capabilities through multi-type database integration, including vector databases, SQLite, and knowledge graphs, for storing and retrieving code patterns, algorithms, and relationships between programming concepts.

An MCP server that provides random algorithms and probabilistic decision-making capabilities. It extends sequential thinking through advanced mathematical models, helping AI assistants break out of local thinking patterns and make better decision plans.

The AI Code Toolkit provides MCP servers and tools to help AI programming agents maintain code consistency, follow conventions, and scale as the codebase expands, including scaffolding templates, architectural patterns, and validation rules

The MCP server for Klever blockchain smart contract development provides context knowledge for code patterns, best practices, and runtime behavior. It supports three modes: HTTP, MCP stdio, and public hosting, and includes a pre - loaded knowledge base and intelligent context retrieval function.

A lightweight, configurable MCP server for development teams to obtain externally hosted coding specifications, security rules, and validation patterns.

SourceSage is an MCP server that visualizes project directory structures into beautiful Markdown, supporting automatic file content documentation and flexible exclusion patterns.

An MCP server based on computer vision that automatically identifies the positions of image assets and extracts the layout structure by analyzing web page screenshots, supports the detection of multiple layout patterns such as radial and grid, and helps AI assistants accurately reconstruct web page layouts.

The fabric-mcp-server is a server that implements the Model Context Protocol (MCP), integrating Fabric patterns as tools into Cline to enhance its AI-driven pattern execution capabilities.

The GLM-4.6 MCP Server is an enterprise-level architecture consulting protocol bridging service that connects Claude 4.5 Sonnet and GLM-4.6 through the model context protocol, providing system design, scalability patterns, and technical decision-making support. It supports functions such as code architecture analysis, system architecture design, and decision review.

Memory Bank MCP is a plugin that helps AI assistants maintain project context through structured Markdown files, providing a systematic way to track project goals, decisions, progress, and patterns.

The GitHub Code Review Assistant MCP Server provides intelligent tools to analyze PR code patterns, propose improvement suggestions, check compliance with team standards, and support a complete code review workflow.

ToolFront is an AI proxy database connection tool that securely connects coding assistants to team databases through the MCP protocol, enabling collaborative learning and sharing of query patterns.

This project contains the specifications and protocol patterns of the model context protocol, provides definitions in both TypeScript and JSON Schema formats, and includes an open - source contribution guide and MIT license.

A code security firewall MCP service based on structural similarity. It intercepts malicious code patterns before code execution by parsing the code structure and comparing it with the blacklist of dangerous patterns.

The NestJS MCP module is an integration module designed for the NestJS framework to simplify the implementation of the Model Context Protocol (MCP) server. It supports multiple transport layers (including STDIO and HTTP/SSE) through decorators (such as @McpResource, @McpTool, @McpPrompt) and familiar NestJS patterns, enabling developers to quickly build MCP - compatible services.

Nano Banana is a professional MCP extension for generating, editing, and restoring images through text descriptions. It supports various image processing functions, such as generating icons, patterns, stories, and diagrams.