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

* [n8n-MCP v2.56.0](https://github.com/czlonkowski/n8n-mcp) – Model Context Protocol server providing AI assistants with detailed access to n8n node documentation, properties, and operations.

* [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.

* [stock-api v2.7.0](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.

* [ByteRover CLI v3.16.0](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.

* [MCP Toolbox for Databases v1.3.0](https://github.com/googleapis/mcp-toolbox) – MCP server connecting AI agents, IDEs, and applications to enterprise databases with prebuilt and customizable tools.

* [aimock v1.28.0](https://github.com/CopilotKit/aimock) – Mock infrastructure for testing AI applications' external services like LLMs, multimedia APIs, agent protocols, and vector databases.

* [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.

* [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.

* [Git For database Systems v0.3.0](https://github.com/Guepard-Corp/gfs) – Git-like version control for databases enabling snapshots, branching, instant rollback, and AI agent integration.

* [mcp-stdio-guard v1.0.0](https://github.com/1Utkarsh1/mcp-stdio-guard) – Detect stdout pollution and handshake failures in MCP stdio servers before clients do.

* [Butterbase v0.2.0](https://github.com/butterbase-ai/butterbase-oss) – AI-native backend-as-a-service with Postgres data plane, auth, storage, serverless functions, and an AI gateway with MCP support.

* [Screencap v1.35.0](https://github.com/yahorbarkouski/screencap) – macOS app that captures scheduled background and foreground screenshots and converts them into timelines, daily summaries, project milestones, and addiction tracking with optional end-to-end encrypted social sharing.

* [MCP Go SDK v1.6.1](https://github.com/modelcontextprotocol/go-sdk) – Official Go SDK implementing the Model Context Protocol for building clients and servers.

* [mcpc v0.3.0](https://github.com/apify/mcpc) – Universal command-line client for the Model Context Protocol, providing persistent sessions, scripting, OAuth 2.1 support, JSON code-mode, and AI sandboxing.

* [MCP Mesh v2.386.0](https://github.com/decocms/studio) – Control plane routing MCP client traffic through one governed endpoint with auth, RBAC, policy enforcement, and observability.

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

* [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.

* [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.

* [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.

* [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.

* [tsidp v0.0.14](https://github.com/tailscale/tsidp) – OIDC and OAuth identity provider server that uses Tailscale identities for authenticating compatible applications and MCP connections.

* [Claw Orchestrator v4.1.1](https://github.com/Enderfga/claw-orchestrator) – TypeScript runtime that runs Claude Code, Codex, Gemini, Cursor Agent and custom coding CLIs as persistent programmable headless agents.

* [SearXNG MCP Server v1.0.4](https://github.com/ihor-sokoliuk/mcp-searxng) – MCP server integrating a SearXNG-compatible web search API with URL content extraction, caching, pagination, and filtering.

* [NestJS MCP Server Module v1.9.10](https://github.com/rekog-labs/MCP-Nest) – NestJS module that exposes tools, resources, and prompts using the Model Context Protocol.

* [ToolHive v0.28.3](https://github.com/stacklok/toolhive) – Simplifies secure deployment and management of Model Context Protocol servers in isolated containers.

* [Gram dashboard@0.66.0](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.

* [Ogham MCP v0.14.3](https://github.com/ogham-mcp/ogham-mcp) – Persistent, searchable shared memory server for AI coding agents that syncs across clients.

* [Late v1.2.6](https://github.com/mlhher/late-cli) – Deterministic coding agent orchestrator that spawns ephemeral subagents to perform exact-match code edits and avoid context bloat.

* [Docfork MCP dgrep-v0.2.2](https://github.com/docfork/docfork) – Fetches and serves live-synced, version-accurate documentation to prevent AI hallucinations and context bloat.

* [Semantic Notes Vault MCP 0.11.30](https://github.com/aaronsb/obsidian-mcp-plugin) – MCP server for Obsidian enabling AI assistants to semantically search, navigate, and edit your vault via HTTP.

* [maestro v0.106.1](https://github.com/ReinaMacCredy/maestro) – Local-first conductor that coordinates multi-agent software engineering via a single CLI and on-disk shared state.

* [@cyanheads/mcp-ts-core v0.9.9](https://github.com/cyanheads/mcp-ts-core) – Agent-native TypeScript framework for building MCP servers with declarative definitions, pluggable auth, multi-backend storage, and OpenTelemetry.

* [Agent! v1.0.86](https://github.com/macOS26/Agent) – Native macOS app integrating multiple LLMs and on-device Apple Intelligence to automate development, UI actions, system tasks, and remote iPhone-triggered workflows.

* [Kubernetes MCP Server v1.0.25](https://github.com/reza-gholizade/k8s-mcp-server) – MCP-based server exposing a standardized API for discovering, listing, managing, and monitoring Kubernetes resources.

* [SDL-MCP v0.11.4](https://github.com/GlitterKill/sdl-mcp) – Cards-first context system indexing symbols to provide compact, high-signal code context for AI coding agents.

* [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.