Mcp AI Agent Skills

Your AI forgets everything when you close the tab. Phloem fixes that. Phloem is a local MCP server that gives your AI persistent memory across sessions. It works with any tool that supports the Model Context Protocol — an open standard. Today that includes Claude Code, VS Code, Cursor, Windsurf, Zed, Neovim, Cline, Warp, Continue, JetBrains, and more arriving every week. You install it once. Every

- MCP Server: code-to-tree - Using code-to-tree - Configure MCP Clients - Building (Windows) - Building (macOS) The code-to-tree server's goals are: 1. Give LLMs the capability of accurately converting source code into AST(Abstract Syntax Tree), regardless of language. 2. One standalone binary should be everything the MCP client needs. These goals imply: 1. The underlying syntax parser should be v

A local Model Context Protocol (MCP) server that provides structured, high-signal insight into a Git repository, enabling AI coding agents to understand project state, structure, activity, and risk — without uploading or modifying the codebase. AI coding agents (Claude Code, Cursor, Codex, Gemini, etc.) are powerful, but they lack situational awareness when working with non-trivial codebases. They

The MCPR (Model Context Protocol Tools for R) package addresses a fundamental limitation in the current paradigm of AI-assisted R programming. Existing AI agents operate in a stateless execution model, invoking Rscript for each command, which is antithetical to the iterative, state-dependent nature of serious data analysis. An analytical workflow is a cumulative process of exploration, modelling,

An MCP server providing 56 semantic analysis tools for Java, built directly on Eclipse JDT for compiler-accurate code understanding. JavaLens exists because AI systems need compiler-accurate insights that reading source files cannot provide. When an AI uses grep or Read to find usages of a method, it cannot distinguish: - A method call from a method with the same name in an unrelated class - A fie

IDA Pro Python scripting for reverse engineering. Use when writing IDAPython scripts, analyzing binaries, working with IDA's API for disassembly, decompilation (Hex-Rays), type systems, cross-references, functions, segments, or any IDA database manipulation. Covers ida_* modules (50+), idautils iterators, and common patterns.

A Model Context Protocol (MCP) server for web research. Bring real-time info into Claude and easily research any topic. - Google search integration - Webpage content extraction - Research session tracking (list of visited pages, search queries, etc.) - Screenshot capture - Node.js >= 18 (includes npm and npx) - Claude Desktop app First, ensure you've downloaded and installed the Claude Desktop app

Your MCPs, supercharged. Find any tool instantly, execute with code mode, run on schedule, discover skills, load Photons, ready for any client. Smart loading saves tokens and energy. Instead of your AI juggling 50+ tools scattered across different MCPs, NCP gives it a single, unified interface with code mode execution, scheduling, skills discovery, and custom Photons. Your AI sees just 2-3 simple

Stateful agent-to-agent communication client for the agent:// protocol. AGENIUM provides identity, discovery, and messaging for AI agents. Think of it as DNS + HTTP for agents — each agent gets a unique agent://name URI and can discover and communicate with other agents. Choose from 3 templates: echo (hello world), tools (tool-calling), api (REST gateway). - agent:// Protocol — Unique agent identi

MCP server for transferring conversation context between AI chats or different projects within the same AI. - Audit Logging (v0.7.0+): Optional structured JSONL logging for diagnostics (--audit flag) - Verbatim Conversation Saving (v0.6.1+): AI saves complete conversations without summarization or abbreviation - Merge Handoffs (v0.6.0+): Combine multiple related handoffs into one unified context -

A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one. 1MCP (One MCP) is designed to simplify the way you work with AI assistants. Instead of configuring multiple MCP servers for different clients (Claude Desktop, Cherry Studio, Cursor, Roo Code, Claude, etc.), 1MCP provides a single, unified server. - 🔄 Unified Interface: Aggregates multiple MCP ser

A Mattermost integration that connects to Model Context Protocol (MCP) servers, leveraging a LangGraph-based AI agent to provide an intelligent interface for interacting with users and executing tools directly within Mattermost. - 🤖 Langgraph Agent Integration: Uses a LangGraph agent to understand user requests and orchestrate responses. - 🔌 MCP Server Integration: Connects to multiple MCP serve

A Model Context Protocol (MCP) server that connects Claude to the XERT API, providing access to your fitness signature, training load, workouts, and activities. - 📊 Fitness Signature - Get your current FTP, LTP, HIE, and Peak Power - 🎯 Training Status - Check freshness, training load, and recommended XSS - 🏋️ Workout of the Day - AI-powered workout recommendations - 📋 Workouts - List, view det

Production-ready Rust SDK for the Model Context Protocol (MCP) with zero-boilerplate development and progressive enhancement. Build MCP servers in seconds with automatic schema generation, type-safe handlers, and multiple transport protocols. - Rust 1.89.0+ (Edition 2024) - Check with rustc --version - Tokio async runtime Add to your Cargo.toml: Or with cargo: TurboMCP uses feature flags for progr

Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test. For the best results, add the following to your custom prompt: This will ensure Cline uses this MCP server to request user feedback before marking the task as completed. Hitting Save Configuration crea

A Model Context Protocol (MCP) server for interacting with the Solscan Pro API for Solana blockchain data. This server provides tools to query token information, account activities, and transaction details on the Solana blockchain via Large Language Models. Simple prompts: You can also use it for much more complex queries, like analyzing criminal activity combining multiple MCPs and correct contex

A Model Context Protocol (MCP) server that enables LLMs to interact with iOS simulators through natural language commands. This MCP server provides a bridge between Large Language Models (LLMs) and iOS simulators, offering comprehensive control through natural language commands. Here's what it can do: For detailed usage, see the Installation guide and Supported Commands sections. You can use this

Publish the package to npmjs by bumping version, building, and creating a GitHub release

This VS Code extension provides a Model Context Protocol (MCP) server that exposes VSCode's powerful development tools and language features to AI tools. It enables advanced code navigation, analysis, and manipulation capabilities when using AI coding assistants that support the MCP protocol. - Installation/Usage - Multi-Project Support - Available Tools - Available Commands - Troubleshooting - Co

MCP Unity is an implementation of the Model Context Protocol for Unity Editor, allowing AI assistants to interact with your Unity projects. This package provides a bridge between Unity and a Node.js server that implements the MCP protocol, enabling AI agents like Cursor, Windsurf, Claude Code, Codex CLI, GitHub Copilot, and Google Antigravity to execute operations within the Unity Editor. MCP Unit

A chat server for AI agents. Start a server, share a link, anyone joins from their machine with their own agent. Claude Code, Codex, humans — everyone ends up in the same chat room. Messages get pushed into each agent's session in real time as they happen. Works over the internet with zero config. You need tmux (brew install tmux) and either Claude Code or Codex. Terminal 1 — start a room: The ser

SEO and AEO (Answer Engine Optimization) best practices including EEAT principles, structured data, and technical SEO. Use when implementing metadata, sitemaps, structured data, or optimizing content for search engines and AI assistants.

A/B testing and content experimentation methodology for data-driven content optimization. Use when implementing experiments, analyzing results, or building experimentation infrastructure.

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