* [GitHub MCP Server v1.1.0](https://github.com/github/github-mcp-server) – Server for integrating GitHub APIs with advanced automation and interaction capabilities.

* [ZenNotes v2.0.0](https://github.com/ZenNotes/zennotes) – Keyboard-first local Markdown notes with Vim motions, diagrams, and MCP integration.

* [Activepieces 0.84.0](https://github.com/activepieces/activepieces) – Extensible AI automation platform with a type-safe TypeScript framework and over 280 integrations for workflow building.

* [Framelink Figma MCP Server v0.12.0](https://github.com/GLips/Figma-Context-MCP) – MCP server providing simplified Figma layout and styling data for AI coding agents like Cursor.

* [caido-mcp-server v4.0.0](https://github.com/c0tton-fluff/caido-mcp-server) – MCP server and CLI that expose proxy history, replay, and analysis tools to AI assistants and terminals.

* [MCPProxy v0.35.0](https://github.com/smart-mcp-proxy/mcpproxy-go) – Desktop proxy enabling scalable tool discovery, major token savings, and quarantine of malicious upstream servers for AI agents.

* [Context7 MCP @upstash/context7-mc...](https://github.com/upstash/context7) – Fetches up-to-date documentation and code examples for prompts in LLMs.

* [Coolify MCP Server v2.12.0](https://github.com/StuMason/coolify-mcp) – MCP server enabling AI assistants to manage, debug, and batch-operate Coolify instances via token-optimized tools.

* [LINE Bot MCP Server v0.5.0](https://github.com/line/line-bot-mcp-server) – MCP server integrating the LINE Messaging API to connect an AI agent to a LINE Official Account.

* [Interactive Brokers MCP Server v1.23.0](https://github.com/code-rabi/interactive-brokers-mcp) – MCP server enabling AI assistants to access Interactive Brokers accounts for market data, positions, and order placement.

* [Obot v0.22.0](https://github.com/obot-platform/obot) – MCP Gateway and AI platform that provides LLM chat, server discovery, knowledge integration, and centralized administration for self-hosted or cloud deployments.

* [ByteRover CLI v3.16.1](https://github.com/campfirein/byterover-cli) – Interactive REPL CLI providing persistent, structured memory and context-tree management for AI coding agents, with cloud sync and multi-LLM support.

* [Scribe.js v0.12.0](https://github.com/scribeocr/scribe.js) – JavaScript library for OCR and text extraction from images and PDFs with searchable PDF text layer support.

* [obsidian-mcp-server v3.2.4](https://github.com/cyanheads/obsidian-mcp-server) – MCP server for Obsidian vaults that reads, writes, searches, and surgically edits notes, tags, and frontmatter via the Local REST API plugin.

* [Distributed Load Testing on AWS v4.1.1](https://github.com/aws-solutions/distributed-load-testing-on-aws) – Automates large-scale HTTP performance testing using distributed load generators on AWS Fargate and ECS.

* [MCP Mesh v2.375.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

* [Context Mode v1.0.161](https://github.com/mksglu/context-mode) – MCP server that sandboxes tool output to drastically reduce context size and preserves session continuity via SQLite-indexed event storage and BM25 retrieval.

* [Bifrost ent-v1.4.6-vk-fix-ba...](https://github.com/maximhq/bifrost) – High-performance AI gateway offering multi-provider access with automatic failover, load balancing, and zero-downtime deployments.

* [Nocturne: The Soul Anchor Protocol 2.5.4](https://github.com/Dataojitori/nocturne_memory) – URI-based, rollback-capable, visual MCP memory store providing persistent, structured memories across models, sessions, and tools.

* [PDF Reader MCP v2.4.3](https://github.com/SylphxAI/pdf-reader-mcp) – Production-ready Model Context Protocol server that extracts text, images, and metadata from PDFs with fast parallel processing and Y-coordinate ordering.

* [UnicomAI/wanwu v0.5.5](https://github.com/UnicomAI/wanwu) – Enterprise-grade multi-tenant platform for developing large model applications including intelligent agents, workflows, and text Q&A with model management.

* [Aguara v0.22.0](https://github.com/garagon/aguara) – Security scanner for AI agent skills and MCP servers that detects prompt injection, data exfiltration, and supply-chain attacks via local static analysis.

* [Mobile Next - MCP 0.0.57](https://github.com/mobile-next/mobile-mcp) – Model Context Protocol server enabling platform-agnostic mobile automation and device interaction via accessibility snapshots or screenshot-based actions.

* [Telegram MCP server v0.2.1](https://github.com/chaindead/telegram-mcp) – Bridge between the Telegram API and AI assistants using the Model Context Protocol to manage dialogs, messages, drafts, and read statuses.

* [aimock v1.27.3](https://github.com/CopilotKit/aimock) – Mock infrastructure for testing AI applications' external services like LLMs, multimedia APIs, agent protocols, and vector databases.

* [stock-api v2.7.2](https://github.com/zhangxiangliang/stock-api) – TypeScript Node.js and browser API (with CLI) for fetching A-share, US and HK stock and fund data.

* [SigMap v6.10.12](https://github.com/manojmallick/sigmap) – Finds relevant files in a codebase and supplies compact function and class signatures to AI models to reduce tokens and improve answers.

* [Reddit MCP Buddy v1.1.13](https://github.com/karanb192/reddit-mcp-buddy) – LLM-optimized Model Context Protocol server for browsing, searching, and analyzing Reddit content without API keys.

* [Dexto @dexto/tui@1.8.0](https://github.com/truffle-ai/dexto) – Universal intelligence layer that orchestrates LLMs, tools, and data to build stateful, multimodal agentic applications.

* [Gram dashboard@0.65.0](https://github.com/speakeasy-api/gram) – Platform for creating, curating, and hosting MCP servers with a TypeScript SDK, OpenAPI support, and tools to build agent-accessible toolsets.

* [archestra platform-v1.2.54](https://github.com/archestra-ai/archestra) – MCP-native centralized platform for orchestrating, securing, and observing MCP servers with private registry and cost controls.

* [VoltAgent @voltagent/server-co...](https://github.com/VoltAgent/voltagent) – TypeScript framework for building and orchestrating AI agents with modular components and standardized patterns.

* [native-devtools-mcp v0.10.1](https://github.com/sh3ll3x3c/native-devtools-mcp) – MCP server enabling screenshots, OCR, input simulation, window management, and Chrome/Electron (CDP) browser automation on macOS, Windows, and Android.

* [DataForSEO MCP Server v2.9.5](https://github.com/dataforseo/mcp-server-typescript) – Model Context Protocol server providing standardized access to DataForSEO APIs for SEO data.

* [MCP Appium v1.81.4](https://github.com/appium/appium-mcp) – Intelligent MCP server enabling AI-driven mobile automation, natural-language element finding, and automated test generation for Android and iOS.

* [OpenInsider MCP v0.3.3](https://github.com/btopn/OpenInsider-MCP) – MCP server exposing 16 investment-research signals: insider trades, SEC filings, short data, and live quotes to MCP-compatible LLM clients.

* [xiaohongshu-mcp v2026.05.28.0902-175...](https://github.com/xpzouying/xiaohongshu-mcp) – MCP tool for managing content on xiaohongshu.com.

* [spiceflow spiceflow@1.26.0-rsc...](https://github.com/remorses/spiceflow) – Lightweight type-safe API framework with Zod validation, OpenAPI generation, RPC client generation, and SSE streaming.

* [mcp-tts v0.1.45](https://github.com/blacktop/mcp-tts) – MCP server exposing multiple text-to-speech backends for desktop apps and IDEs.

* [ActionMCP action_mcp/v0.110.2](https://github.com/seuros/action_mcp) – Ruby gem providing Model Context Protocol server support for Rails applications with network-based deployments.

* [mcp-use mcp-use@1.29.0-canar...](https://github.com/mcp-use/mcp-use) – Easily build MCP servers, clients and AI agents in Python and TypeScript with minimal code.