"Artifact Hub" matching MCP servers:

Enables multiple isolated Claude sessions to read markdown knowledge bases versioned in git and deposit proposals, while only a manager role integrates changes.

A personal knowledge hub MCP server that enables LLMs to query structured information about Akib Dabgar's skills, experience, projects, and goals using Dynamic Context Retrieval for efficient context usage.

Enables searching, downloading, and reading academic papers from multiple platforms including arXiv, Semantic Scholar, PubMed, bioRxiv, medRxiv, IACR, Google Scholar, RePEc/IDEAS, and Sci-Hub with PDF to Markdown conversion.

Omega Stenographer MCP is the passive observation layer of the VERITAS & Sovereign Ecosystem (Omega Universe). Where Omega Brain enforces governance and VERITAS gates evaluate artifact integrity, Stenographer observes: it ingests every conversation turn, extracts decisions and blockers from agent reasoning, builds live running notes, and compresses stale context into searchable briefs before it ca

Provides offline search and retrieval of curated scientific computing Agent Skills for modeling, computational chemistry, DFT, molecular dynamics, and visualization. It exposes tools for skill cards, compatibility checks, content/bundle retrieval, version diffs, health checks, and issue reporting via HTTP or stdio MCP.

Serves as a personal MCP hub for development, detecting the current stack and monorepo root, managing Docker Compose actions, querying Context7 documentation, and interacting with Nexus, while also forwarding tools from optional external MCP servers.

Enables organizations to centrally manage and distribute Claude Code skills, allowing members to connect and use the latest skill instructions via a single command.

Transforms any GitHub repository into a documentation hub for AI assistants, enabling access to up-to-date documentation and code to eliminate hallucinations. Supports repository-specific and dynamic endpoints with smart search capabilities.

An artifact manager MCP server for system specifications, providing tools and resources to create, read, update, list, validate, and manage MADR 4.0.0-derived Architecture Decision Records (ADRs) stored as markdown files.

An OpenAPI-driven MCP agent hub that dynamically generates MCP tools from Swagger/OpenAPI specs, enabling conversational interaction with backend APIs through natural language.

Transforms any GitHub repository or GitHub Pages site into a documentation hub for AI assistants using the Model Context Protocol. It allows AI tools to access real-time code and documentation to prevent hallucinations and provide accurate API usage examples.

An MCP server that acts as an AI knowledge and skills hub, automatically discovering, indexing, and serving skill libraries to any MCP client with full-text search, rich metadata, and hot reload.

Dynamically loads and exposes skills from a directory with hot-reloading support, enabling users to manage and query skill content via MCP resources and tools.

Provides AI assistants with searchable access to documentation from 170+ curated repositories and 1000+ popular GitHub projects across 20+ categories including trading, AI/ML, DevOps, and web development.

Transforms any GitHub repository into a documentation hub for AI assistants, enabling up-to-date access to documentation and code to eliminate hallucinations.

A local-first MCP server that turns a .context/ folder of markdown files into a searchable knowledge layer for AI coding agents.

Provides a comprehensive robotics information hub with details on frameworks like ROS and Gazebo, robot types, and curated learning resources. It enables AI assistants to access offline robotics documentation and development roadmaps without external API dependencies.

MCP server for WuxianPi Hub, enabling search and retrieval of rescue plugin information, versions, documentation, and comments through natural language.

Provides retrieval of WeChat Work and Feishu developer documentation, enabling AI assistants to query API references without switching browsers.

Enables lexical search over local Markdown wiki folders using SQLite FTS5, with MCP tools for querying and managing wiki indices.