MCP server for AI prompt optimization — transforms vague prompts into platform-optimized prompts for 58+ AI platforms across 7 categories (image, video, voice, music, code, chat, document).
Read-only MCP server to help gather metrics from [Swarmia](swarmia.com) for quick reporting.
Workspace-aware prompt engineering. Refines, analyzes and generates prompts based on your project's tech stack, dependencies and context. Free to use.
Apple Documentation MCP Server. Search Apple developer docs, Swift Evolution proposals, and 600+ sample code projects with full-text search.
Structural codebase indexer exposing 17 query tools (functions, classes, imports, dependency graphs, change impact) via MCP. Zero dependencies.
Intelligent token optimization achieving 95%+ reduction through caching, compression, and 80+ smart tools for API optimization, code analysis, and real-time monitoring.
MetaMCP is the one unified middleware MCP server that manages your MCP connections with GUI.
Automatic enforcement of critical rules for Claude AI preventing 96 documented failure patterns. Provides compliance verification checklist and rules summary via MCP tools.
Hosted MCP server that parses TypeScript and Python codebases into Neo4j knowledge graphs for blast radius analysis, dead code detection, dependency tracing, and architectural context.
Desktop app that captures screen activity via event-driven screenshots, stores AI-generated summaries and OCR text locally in SQLite, and exposes your activity history to AI assistants via MCP with se
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
A list of MCP servers so you can ask your client which servers you can use to improve your daily workflow.
Bring structure and preserve context in vibe coding by automatically tracking issues.
A MCP server for LLDB enabling AI binary and core file analysis, debugging, disassembling.
MCP server exposing SSH control for Linux and Windows servers. Allows long running commands and the ability to perform commands on multiple hosts at the same time.
Create, manage, and automate Label Studio projects, tasks, and predictions for data labeling workflows.
Tools for creating and interacting with GrowthBook feature flags and experiments.
Containerized environments for coding agents. Multiple agents can work independently, isolated in fresh containers and git branches. No conflicts, many experiments. Full execution history, terminal ac
Intelligent search capabilities to let every model and client use [Claude Agent Skills](https://www.anthropic.com/news/skills) like native.
MCP server for managing and serving dynamic prompt templates using elegant and powerful text template engine.
Link multiple data sources (SQL, CSV, Parquet, etc.) and ask AI to analyze the data for insights and visualizations.
Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with [Optuna](https://optuna.org/).
Model Context Protocol for R: enables AI agents to participate in interactive live R sessions.
A MCP server that keeps your chat history organized and searchable—with AI-powered summaries, secure memory, and full control.