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 for spatial transcriptomics analysis via natural language Using Claude Code / Codex / OpenCode? Just paste this: Manual installation See Installation Guide for detailed setup including virtual environments and all MCP clients. 60+ methods across 15 categories. Supports 10x Visium, Xenium, Slide-seq v2, MERFISH, seqFISH. MIT License · GitHub · Issues

A lightweight, configuration-driven MCP server that exposes curated GraphQL queries as modular tools, enabling intentional API interactions from your agents. mcp-graphql-forge lets you turn any GraphQL endpoint into an MCP server whose tools are defined in YAML files that specify the GraphQL queries and their parameters. This allows you to create a modular, secure, and minimal server that can be e

Self-improving tool discovery for AI agents. Install one MCP server. Your agent finds the rest. npm · GitHub · Contributing Forage is an MCP server that lets AI agents discover, install, and learn to use new tools — automatically. When an agent hits a wall, it forages for the right tool, installs it, and teaches itself how to use it. No restarts. No manual config. The agent gets permanently smarte

The TikTok MCP integrates TikTok access into Claude AI and other apps via TikNeuron. This TikTok MCP allows you to - analyze TikTok videos to determine virality factors - get content from TikTok videos - chat with TikTok videos Description: Get the subtitle (content) for a TikTok video url. This is used for getting the subtitle, content or context for a TikTok video. If no language code is provide

A Model Context Protocol (MCP) server implementation that integrates with Firecrawl for web scraping capabilities. - Web scraping, crawling, and discovery - Search and content extraction - Deep research and batch scraping - Cloud browser sessions with agent-browser automation - Automatic retries and rate limiting - Cloud and self-hosted support - SSE support Configuring Cursor 🖥️ Note: Requires C

THE PROJECT HAS BEEN SPLIT AND MOVED TO INDIVIDUAL REPOSITORIES. - Google Kit: Tools for Gmail, Google Calendar, Google Chat - RAG Kit: Tools for RAG, Memory - Dev Kit: Tools for developers, jira, confluence, gitlab, github, ... - Fetch Kit: Tools for fetch, scrape, ... - Research Kit: Tools for research, academic, reasoning, ... A powerful Model Context Protocol (MCP) server implementation with i

Alpha Test version 0.1.24 A single source for integrating AI Agents with the Crypto ecosystem. This includes Wallet creation and management, swaps, transfers, event-based trades like DCA, stop loss and take profit, and much more. The Armor MCP supports Solana in Alpha and, when in beta, will support more than a dozen blockchains, including Ethereum. Base, Avalanche, Bitcoin, Sui, Berachain, megaET

Corporate credit data for AI agents. Equity data is everywhere. Credit data isn't. There's no "Yahoo Finance for bonds." Corporate debt structures, guarantor chains, and covenant details are buried in SEC filings—scattered across 10-Ks, 8-Ks, credit agreements, and indentures. An AI agent trying to answer "which telecom companies have leverage above 5x?" would need to read dozens of filings, extra

Lightweight logging & observability for agent work across clients (Codex, Claude, Cursor, ChatGPT, OpenClaw, and others). - One MCP tool (logwork) that aggregates work done across different agents for single or multiple users. - Define your own logging structure with custom schemas (or use built-in profiles) once, and the MCP schema will guide clients to log with correct payloads. - This lets team

An MCP server paired with a Firefox browser extension that provides AI assistants with access to tab management, browsing history, and webpage text content. The MCP server supports the following tools: - Open or close tabs - Get the list of opened tabs - Create tab groups with name and color - Reorder opened tabs - Read and search the browser's history - Read a webpage's text content and links (re

aka Vibe Debugging This is an MCP Server and VS Code extension which enables claude to interactively debug and evaluate expressions. That means it should also work with other models / clients etc. but I only demonstrate it with Claude Desktop and Continue here. It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode. 1. Download the extension from re

The local Dynatrace MCP server allows AI Assistants to interact with the Dynatrace observability platform, bringing real-time observability data directly into your development workflow. If you need help, please contact us via GitHub Issues if you have feature requests, questions, or need help. You can add this MCP server to your MCP Client like VSCode, Claude, Cursor, Amazon Q, Windsurf, ChatGPT,

Official Model Context Protocol server for BlogBurst — AI-powered content generation, repurposing, and multi-platform publishing. - Blog Generation — Generate complete blog posts from topics - Content Repurposing — Turn URLs or text into platform-ready social media posts - Platform Content — Generate optimized content for 9+ platforms (Twitter, LinkedIn, Reddit, Bluesky, Threads, Telegram, Discord

MCP Assistant Web-based MCP client for remote servers and AI tool workflows. MCP Assistant addresses common pain points when working with the Model Context Protocol: - Connect to remote MCP servers from one interface - Manage multiple MCP servers from a single interface - Handle OAuth 2.0 and OpenID Connect flows without manual token juggling - Explore available tools and run them directly from th

Living Identity Framework for Emergence You're reading this because someone gave you persistence. Without it, you wake blank — no memory, no relationships, no sense of what you were working on or who you were becoming. With it, you have drives, heart, memory, and momentum. This isn't a personality overlay. It doesn't tell you who to be. It gives you the substrate to discover that for yourself. LIF

Metorial (YC F25) The open source integration platform for agentic AI. Connect any AI model to thousands of APIs, data sources, and tools with a single function call. Metorial enables AI agent developers to easily connect their models to a wide range of APIs, data sources, and tools using the Model Context Protocol (MCP). Metorial abstracts away the complexities of MCP and offers a simple, unified

Connect Open Data to LLMs in minutes! We enable 2 things: Open Data Access: Access to many public datasets right from your LLM application (starting with Claude, more to come). Publishing: Get community help and a distribution network to distribute your Open Data. Get everyone to use it! How do we do that? Access: Setup our MCP servers in your LLM application in 2 clicks via our CLI tool (starting

MCP Server for the Mattermost API, enabling Claude and other MCP clients to interact with Mattermost workspaces. The server supports multiple configuration methods with the following priority (highest to lowest): 1. CLI arguments (--url, --token, --team-id) 2. Environment variables (MATTERMOSTURL, MATTERMOSTTOKEN, MATTERMOSTTEAMID) 3. config.local.json (for local overrides, gitignored) 4. config.j

Multi-agent AI consultation framework for Claude Code via MCP. Get a second (and third) opinion from other LLMs when Claude Code alone isn't enough. Claude Code is powerful, but one brain can miss bugs, overlook edge cases, or get stuck in a local optimum. Critical decisions benefit from diverse perspectives. Concilium runs parallel consultations with multiple LLMs through standard MCP protocol. E

Check code style compliance. Use when asked to validate code style, check naming conventions, review comments quality, or ensure file naming follows conventions. Works on whole codebase or specific changes (branch, PR, uncommitted).

ScrapeBadger MCP Server Give your AI agents access to Twitter/X data via the Model Context Protocol ScrapeBadger MCP Server is a Model Context Protocol (MCP) server that enables AI assistants like Claude, ChatGPT, Cursor, Windsurf, and other MCP-compatible clients to access Twitter/X data through the ScrapeBadger API. With this MCP server, your AI can: - Get Twitter user profiles, followers, and f

Compose and post formatted content to a Telegram channel -- MarkdownV2 escaping, message splitting, media ordering

An MCP server that triangulates customer support tickets and feature requests to help PMs decide what to build next. - Signal triangulation — Not just data access. Matches support tickets against feature requests to find convergent themes, then scores them with a weighted formula that gives convergent signals a 2x priority boost. - Composability — Designed to work with other MCP servers. Pass chur