File Systems

A modular plugin system that allows AI agents to dynamically load and use 'skills' from local folders without code changes or restarts. It enables instant capability extension through script execution, hot reloading, and resource bundling.

Provides financial data from Financial Modeling Prep for AI-assisted investment research, including company profiles, financial statements, and analyst ratings. It features high-level workflow tools for market analysis and atomic tools for deep dives into valuation and institutional ownership.

Generate tailored resumes via AI agents using KlevrCV. Returns a signed PDF download URL.

MCP server to search npm packages, view details, compare, check downloads, and inspect dependencies from your IDE

A collection of image processing tools that enables users to optimize images, remove backgrounds using AI, and generate favicons from logo files locally.

Markdown vector search MCP server for Claude Code. Natural language search for markdown files using multilingual-e5-small embeddings.

An MCP server that exposes Autodesk Platform Services (APS) as tools for AI assistants to interact with the APS Data Management API. It enables users to authenticate and manage hubs, projects, and folders through a standardized interface.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Oracle Service Cloud (beta): https://www.cdata.com/download/download.aspx?sku=KOZK-V&type=beta

Directory rating websites on AI-agent-friendliness. Search, lookup, and submit.

A streamlined Model Context Protocol server that enables efficient AI-powered code editing through partial file modifications and smart matching, significantly reducing token usage compared to full-file editing.

A robust local vector storage server that provides AI assistants with persistent memory, automated batch file ingestion for 70+ formats, and advanced features like EXIF extraction and duplicate detection.

A semantic search engine for markdown files that allows Claude to find notes by meaning and detect duplicate content. It uses local embeddings to index and search through directories like Obsidian vaults or documentation folders.

A production-grade TypeScript template for building Model Context Protocol (MCP) servers with declarative tools/resources, authentication, storage abstraction, and support for both local and edge deployment. Provides example echo tools and resources to demonstrate MCP server development patterns.

Enables interaction with self-hosted LLM models via Ollama and Supabase database operations. Supports text generation, SQL queries, and data storage/retrieval through natural language commands.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

A robust, multi-language code interpreter providing secure, sandboxed cloud execution with built-in support for file management and automatic visual artifact generation.

A lightweight, multi-tenant blob storage and diff server that helps LLM coding agents manage large code edits while reducing hallucinations and maintaining work integrity.

An MCP server for finding and comparing Microsoft Dynamics 365 implementation partners. Features tools to search by industry/region, get detailed partner profiles, and generate personalized shortlists for new projects.

Enables AI assistants to interact with Hadoop Hue for executing SQL queries using Hive, SparkSQL, or Impala and managing HDFS files. It supports directory browsing, file transfers, and exporting query results to CSV through the Model Context Protocol.

MCP server for Seafile cloud storage - access your self-hosted files from AI assistants

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

An advanced contextual memory server for agent orchestration providing chronological history, semantic vector search via Redis Stack, and temporary scratchpad storage. It also enables context compression through history rollups and facilitates inter-agent communication using a Redis-based Pub/Sub system.

A locally-hosted MCP server that integrates Gmail, Google Calendar, and Google Drive to provide AI-powered management of emails, events, and files. It enables tool-based interactions like sending emails, creating calendar events, and searching Drive files through clients like Cursor and Claude Desktop.

A token-efficient MCP server for exploring GitHub repositories using tree-sitter AST parsing to extract symbol signatures and summaries. It enables users to search and retrieve specific code components while significantly reducing token consumption compared to raw file dumps.

A Model Context Protocol server built with FastMCP that enables dynamic tool loading and configuration from individual Python files. It provides a flexible framework for automatically discovering, testing, and running tools via Stdio or HTTP transport modes.

Enables AI assistants to manage Fusebase workspaces by providing 46 tools for handling pages, tasks, folders, and organizational administration. It features a two-tier tool system and secure session management using reverse-engineered internal endpoints.

Allows users to upload images and paint selections with a brush tool to generate and save black-and-white masks. It provides an interface for visual selection that integrates with MCP clients for image processing workflows.

Enables interaction with Telegram chat history, including text, photos, and documents, via the GramJS MTProto userbot. It provides tools for searching chats, syncing message history, and downloading media files for local analysis.

Implements a structured communication bus that allows AI agents to send 'oracle calls' to human operators for resolving complex decisions or judgment calls. It facilitates hierarchical message passing between agents and humans using a file-based request/response system with interaction history archiving.