"Discover" matching MCP servers:

An MCP server that exposes filesystem operations — listing directories, reading, writing, and searching files — as tools an LLM can discover and invoke at runtime.

Discover, archive, catalog, and verify OpenCode sessions with remote upload support.

Exposes MCP tools to list, search, and load Markdown skills from a local folder, enabling coding agents to discover and reuse procedural knowledge.

A secure MCP server that gives ChatGPT access to local terminal, files, and background processes, and lets it discover, manage, and call any registered MCP server on the machine.

Enables ChatGPT Web to discover and invoke native local Codex tools via OpenAI's Secure MCP Tunnel, with the local host executing commands and returning results.

Enables LLMs to discover, read, and edit tables in HTML/Markdown documents by converting messy collapsed HTML into clean pipe format and writing back with version-checked, surgical cell, row, and column operations.

An MCP server that gives AI models a persistent notebook backed by a folder of Markdown files, with tools to discover, read, write, edit, and delete notes.

Enables local AI agents to discover projects and read, upload, update, and delete files in a self-hosted collaborative LaTeX/Markdown writing platform, plus maintain a local mirror with git-style pull, push, and status synchronization.

Enables users to log into their university Moodle in a dedicated Chrome profile, choose courses from their real module list, and incrementally download lecture files to local versioned folders while preserving older versions of updated materials. Also exposes tools to check login and connection status, discover courses, list resources, and inspect per-item sync results.

Enables AI assistants to discover nearby devices over local Wi-Fi/LAN and directly send or receive files, text, and clipboard content using the LocalSend protocol.

Enables ChatGPT to discover and read local project governance documents, including decisions and action items, and optionally save or edit discussions back into projects using OAuth or a secure MCP tunnel.

Enables AI assistants to search documentation, read and update configuration files, and discover settings across your development workspace. Supports JSON, YAML, TOML, and Markdown files with seamless integration for GitHub Copilot and other MCP clients.

Enables users to discover campus resources, download and read course files, check supported student portals, and organize tasks, favorites, and study plans through natural language using their own authenticated session in an MCP host.

Shelfmark is an MCP server that builds a local metadata catalogue of your documents, enabling AI agents to discover, search, and select relevant files without opening or indexing their contents. It provides governed access with ownership and confidentiality controls, ensuring agents only see what they are permitted to.

Connects ordinary ChatGPT chats to a single user-chosen project folder so they can read, edit, and search files, run bounded development commands, drive a separate browser profile, discover relevant skills, and save per-chat recovery checkpoints and work history.

An MCP server that enables AI agents to discover, manage, and interact with LocalWP sites through integrated WP-CLI, SQL access, and backup workflows. It provides cross-platform site diagnostics and environment resolution for seamless local WordPress development.

Enables agents and devices to discover, inspect, and invoke filesystem operations on explicitly allowed directories across the DreamMate capability network, including reading, writing, editing, listing, searching, moving, and metadata inspection. It also supports native MCP clients, HTTP invocation, read-only restrictions, and service reporting to a local gateway.

A remote Model Context Protocol server that retrieves and cleans Microsoft Teams meeting transcripts via the Microsoft Graph API using delegated OAuth 2.0 authentication. It enables AI agents to discover meetings, extract speaker-attributed text, and save transcripts to SharePoint for analysis and automation.

A Model Context Protocol server that allows AI assistants to discover, load, and process local documents on Windows systems, with support for multiple file formats and OCR capabilities for scanned PDFs.

Enables ChatGPT and other MCP clients to discover writing skills, safely read and edit files in a shared workspace, run background tasks, and delegate work to ChatGPT sub-agents.