File Systems

Model Context Protocol (MCP) server for local vector storage & semantic search (ChromaDB, OCR, async ingestion).

A secure Node.js execution environment designed for AI agents to run JavaScript code and manage NPM packages within isolated Docker containers.

MCP (Model Context Protocol) Server. Bridges to Amazon's Nova Canvas image generation model through AWS Bedrock, enabling AI-powered image creation with configurable storage options.

An orchestration platform for deploying parallel swarms of tool-enabled AI agents to perform complex tasks like code generation, system monitoring, and multi-perspective analysis. It features a unique chunked write pattern that enables the creation of large-scale documents and code files by assembling parallel agent outputs.

MCP (Model Context Protocol) Server. Provides tools for managing and manipulating local desktop images with capabilities for file counting, filename retrieval, and image compression using the Sharp library

A Google Gemini-powered OCR server that extracts text from images via file paths or base64 strings, specializing in high-accuracy recognition and CAPTCHA processing.

MCP (Model Context Protocol) Server. Integrates with Typesense search to enable natural language queries for candidate profiles and resumes with powerful filtering, sorting, and grouping capabilities for recruitment workflows.

An intelligent 3D printing assistant that enables users to analyze meshes, generate optimal print profiles, and automate PrusaSlicer operations through an MCP client. It provides a comprehensive suite of tools for geometric analysis, printability checks, filament recommendations, and post-print diagnostics.

MCP (Model Context Protocol) Server. Enables Large Language Models to interact with the Kaltura Media Management Platform, providing comprehensive media operations like listing, retrieving, uploading, and managing media entries, categories, and users through multiple transport mechanisms.

An MCP server that indexes local Maven and Gradle repositories, enabling AI agents to perform semantic searches, extract method signatures, and decompile source code from Java dependencies.

MCP (Model Context Protocol) Server. Automatically organizes files by categorizing them based on extensions while preserving project structures for efficient directory management and backup preparation.

A comprehensive collection of Model Context Protocol (MCP) servers categorized by functionality. This repository helps developers and AI enthusiasts discover and utilize the wide array of available MCP servers for various applications.

🧠 Blazingly fast persistent memory for AI assistants. Sub-millisecond SQLite storage with smart tagging, full-text search, and automatic relationships. MCP server + CLI.

MCP (Model Context Protocol) Server. Utility server that simplifies adding new MCP capabilities to Cursor by installing and configuring servers from npm, Python packages, or local repositories without manual configuration file editing.

A comprehensive MCP server for 360 AI Cloud Storage that enables AI models to perform file operations, batch video downloads, and cloud file management via Stdio, HTTP, or SSE protocols.

MCP (Model Context Protocol) Server. Provides structured memory management for project-based work through markdown file storage, enabling persistent context across chat sessions with efficient Lunr.js indexing for retrieval, updating, and relating memories.

MCP (Model Context Protocol) Server. Provides a SQLite-based database backend for efficient data storage and retrieval, leveraging Rust and integrating with mcp-core and mcp-server libraries for embedded systems, desktop applications, or small-scale server deployments.

MCP (Model Context Protocol) Server. Provides a knowledge graph-based memory system for creating, managing, and querying structured information with features like custom file paths, timestamping, and advanced search capabilities.

An MCP server that visualizes project directory structures in Markdown format with ASCII tree views and automatic file documentation. It features flexible file exclusion patterns using .SourceSageignore and syntax-highlighted content previews.

A comprehensive MCP server for managing Google Cloud Platform resources including Compute Engine, Cloud Run, BigQuery, and Storage through a standardized interface.

MCP (Model Context Protocol) Server. Integrates with the Figma API to enable design file operations, comment management, and access to design assets for AI-driven analysis and collaboration.

A prompt management server that allows users to store, search, and reuse complex prompt templates with dynamic variable substitution to streamline LLM interactions.

MCP (Model Context Protocol) Server. Python-based web crawler extracts website content into markdown files, enabling efficient content aggregation and site archiving.

Fetch web pages and convert HTML to clean, formatted Markdown. Handles large pages with automatic file saving to bypass token limits.

MCP (Model Context Protocol) Server. Integrates with Claude Desktop to analyze construction documents, enabling semantic search across architectural drawings and specifications through LanceDB vector storage and Ollama local processing.

A specialized MCP server that transforms large-scale text and web content into structured knowledge graphs with real-time SVG visualization and persistent storage in Neo4j and Qdrant databases.

An MCP server that provides persistent project context, workflow management, and knowledge capture for AI coding agents. It enables agents to maintain structured memory across sessions by tracking project profiles, conventions, skills, and technical debt.

A productivity-focused MCP server that integrates with the Routine application to manage tasks, calendars, documents, and contacts via WebSocket RPC.

A multi-agent code analysis server that coordinates Claude, Codex, and Gemini CLI agents to provide brutal, honest feedback on code quality, architecture, and security with real file-system access.

A comprehensive MCP server for ClickUp offering 170+ tools for managing tasks, docs, and workflows with AI-powered efficiency suggestions and full GitHub Flavored Markdown support.