"Understanding the concept of dependency" matching MCP servers:

MCP server that prepares Proof of Invention (POI) transaction requests for submission

MCP server for sandboxed, read-only SQL queries on CSV/Parquet/JSON files via DuckDB, limited to a specified directory.

A proof-of-concept MCP server that enables reading local files and performing basic arithmetic operations. It provides a simple foundation for understanding how tools are exposed to MCP clients.

A production-grade Model Context Protocol server that enables secure management of context data through a React dashboard, supporting ZIP processing, context approval workflows, and system monitoring.

Enables management of BTRFS snapshots via Snapper and monitoring of BTRFS filesystem health through the Model Context Protocol.

Give Claude Desktop terminal, filesystem, and background-job access on your local Linux machine. Zero-dependency MCP extension, MIT-licensed.

JSON-first Coreutils CLI for AI agents. 114 commands with sandbox, dry-run, and MCP zero-dependency server.

A local MCP server that inspects project artifact sizes and dependency manifest metadata, reporting summaries and largest files without exposing contents or versions.

A config-driven, zero-dependency MCP server with plugin architecture that enables filesystem operations, shell commands, HTTP requests, and utilities through simple JSON configuration.

Enables MCP clients to execute shell commands, manage long-running processes, and read/write files on the host machine with the permissions of the user running the server.

Provides secure and efficient tools for codebase analysis, including file management, metadata retrieval, and dependency tree traversal. It allows LLMs to explore project structures and search for configuration files within a restricted root directory.

Enables editing of STL 3D model files through the Model Context Protocol, providing tools for reading, writing, transforming, and creating primitive shapes.

Local MCP server that connects Claude to real Excel .xlsx files for financial and operational analysis. Enables reading, comparing, cleaning, reconciling, and writing to Excel files without cloud dependency.

Enables AI agents to capture, structure, remember, and retrieve source-backed memory as local Markdown files, with reviewable writes and no cloud dependency.

A small, dependency-light MCP server that gives AI agents instant Windows file and folder discovery through Voidtools Everything.

A proof-of-concept MCP server demonstrating various capabilities including mathematical calculations, URL fetching, system information retrieval, data processing, and file operations.

Enables reading and analysis of PDF, Excel, Word, and PowerPoint files through the Model Context Protocol, supporting content extraction, document search, and file upload.

Enables continuing a local coding task from your own web ChatGPT account by exposing project-scoped read and apply tools over MCP, with no inference API dependency.

Local MCP servers for the Agent-Obsidian workflow, providing vault file I/O, todo management, and arXiv paper fetching with zero-dependency single-file Node.js scripts.

A file-backed MCP server for hierarchical project management that enables AI assistants to create, claim, and complete tasks within a project→epic→feature→task structure, with dependency management and Markdown-based storage.