"Categorizing messages such as emails or system logs" matching MCP servers:

A Python bridge for interacting with the macOS Messages app using MCP (Multiple Context Protocol). Simple install using uvx mac-messages-mcp

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

About Your task manager is the best agent memory you're not using. An agent-native context layer over your existing task app.

Server that enables AI assistants to interact with Storybook design systems. Extract component HTML, analyze styles, and help with design system adoption and refactoring.

Enables self-hosted AI gateway and agent control plane with governed MCP tools, virtual-key budgets, caching, and audit, supporting OpenAI, Anthropic, Gemini, MCP, and A2A protocols. It provides deterministic prompt enhancement and governed execution with a zero-credential first run.

Cross-chain cryptocurrency swaps via Chainflip. Get quotes, execute swaps, and track progress. No API key required to get started.

A flexible memory system for AI applications that supports multiple LLM providers and can be used either as an MCP server or as a direct library integration, enabling autonomous memory management without explicit commands.

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

Read, cite, compose and remember over a Markdown knowledge Bundle, as MCP tools over stdio.

MCP server: is this GitHub repo still maintained? A verdict.

Provides a hardened filesystem interface that lets a local model read and write files only within user-specified directories, with symlink protection and atomic operations.

Automates the entire WordPress content lifecycle: topic research, AI writing, real-time SEO audits, automatic internal linking, and JSON-LD structured data injection.

Enables personalized AI tutoring by allowing students to upload PDF/DOCX study materials that are processed and indexed for semantic search. Provides intelligent responses based on the student's own learning materials using RAG technology.

Enables AI assistants to search, read, draft, and send Gmail messages, as well as manage labels and trash using natural language.

MCP server exposing qbit_manage's Web API as tools, so an LLM can read and manage a qbit_manage instance: run maintenance commands on qBittorrent torrents, manage config files, scheduler, logs, security settings, and system state.

Enables AI agents to generate branded talent documents such as assessment reports, executive profiles, shortlists, and client deliverables in DOCX, PPTX, PDF, or Excel formats from source text or LinkedIn profiles.

Compresses PDFs and images (including iPhone HEIC photos) to fit an upload limit, or a form's exact rules such as the US visa photo, IBPS or SSC uploads. Keeps the file's format and as much quality as the limit allows.

Enables generating conventional-commit–grouped release notes and CHANGELOG.md drafts from a local repository's git log between tags or commits, plus grouping commits by type. Reads only local git history via an MCP client such as Cursor or Claude Desktop.

Lets AI agents publish posts to personal profiles or administered company pages, comment on posts, list recent posts, and retrieve analytics such as impressions, reactions, comments, shares, and clicks.

Enables querying publications and posts by name or keyword, returning subscriber counts, paid plan prices, and per-post details such as date, audience tier, likes, comments, restacks, word count, and optional body text.