MCP Server Directory

🎖️ 🏎️ 🏠 ☁️ 🍎 🪟 🐧 - A CLI for interacting with GitKraken APIs. Includes an MCP server via `gk mcp` that not only wraps GitKraken APIs, but also Jira, GitHub, GitLab, and more. Works with local tools and remote services.

📇 🏠 - Provide coding agents direct access to Figma data to help them one-shot design implementation.

Browses Nordic nRF Connect SDK documentation and sample code from the sdk-nrf repository via GitHub API.

Obsidian vault semantic search with on-device BERT embeddings, connection discovery, and chunk-based indexing.

📇 🏠 🍎 🪟 🐧 - Deterministic tech stack recommendations with 6-dimension scoring. Analyze, compare technologies, get optimal stack suggestions for any project type. 10 tools (4 free, 6 Pro).

[](https://glama.ai/mcp/servers/imatza-rh/mcp-zuul) 🐍 ☁️ - Zuul CI integration with 14 tools for build failure analysis, log search, pipeline status, and job configuration.

📇 ☁️ - AI-native backend-as-a-service platform enabling AI agents to build and manage full-stack applications. Provides Auth, Database (PostgreSQL), Storage, and Functions as production-grade infrastructure, reducing MVP development time from weeks to hours.

[](https://glama.ai/mcp/servers/izzzzzi/codewiki-mcp) 📇 ☁️ - MCP server for codewiki.google. Search repos, fetch AI-generated wiki docs, and ask questions about any open-source repository.

Manages MikroTik RouterOS devices with extended BGP and mangle rule support.

[](https://glama.ai/mcp/servers/jawdat6/fixgraph-mcp) 📇 ☁️ 🏠 🍎 🪟 🐧 - Search and contribute to a community-verified knowledge base of 25,000+ engineering issues and fixes. Find step-by-step solutions with trust scores, submit new issues, and verify fixes work in your environment.

🎖️ 📇 ☁️ - The Globalping MCP server provides users and LLMs access to run network tools like ping, traceroute, mtr, HTTP and DNS resolve from thousands of locations around the world.

[](https://glama.ai/mcp/servers/@Kapeli/dash-mcp-server) 🐍 🏠 🍎 - MCP server for [Dash](https://kapeli.com/dash), the macOS API documentation browser. Instant search over 200+ documentation sets.

[](https://glama.ai/mcp/servers/kenneives/design-token-bridge-mcp) 📇 🏠 - Translates design tokens between platforms — extract from Tailwind, CSS, Figma, or W3C DTCG, then generate Material 3 (Kotlin), SwiftUI, Tailwind config, and CSS Variables with WCAG contrast validation.

[](https://glama.ai/mcp/servers/knewstimek/agent-tool) 🏎️ 🏠 🍎 🪟 🐧 - Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities. Preserves file encoding (UTF-8, EUC-KR, Shift_JIS, etc.) and respects .editorconfig settings.

[](https://glama.ai/mcp/servers/KryptosAI/mcp-observatory) 📇 🏠 🍎 🪟 🐧 - Regression testing for MCP servers. Auto-discovers servers from Claude configs, checks capabilities, invokes tools, detects schema drift between versions, and recommends new servers based on your environment. Works as both a CLI and an MCP server.

📇 🏠 - Translation quality evaluation using xCOMET models. Provides quality scoring (0-1), error detection with severity levels (minor/major/critical), and optimized batch processing with 25x speedup.

Integrates with SerpAPI and other travel services to provide flight search, hotel booking, event discovery, weather forecasting, currency conversion, and geocoding with local result storage for detailed comparison and filtering across all travel planning needs.

📇 🏠 🐧 - An MCP server to manage test suites and cases, which is an alternative to Postman.

[](https://glama.ai/mcp/servers/LumabyteCo/clarifyprompt-mcp) 📇 ☁️ 🍎 🪟 🐧 - 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).

📇 🏠 🍎 🐧 - DevDocs-MCP is a MCP server that provides version-pinned, deterministic documentation sourced from [DevDocs.io](https://devdocs.io) in offline mode

[](https://glama.ai/mcp/servers/@paulhkang94/markview) 🏠 🍎 - Native macOS markdown preview app with MCP server. Open and render Markdown files in MarkView directly from AI assistants via `npx mcp-server-markview`.

[](https://glama.ai/mcp/servers/martingeidobler/android-mcp-server) 📇 🏠 - 21-tool Android device control via ADB — screenshots with compression, UI tree inspection, touch automation, logcat, and compound actions like tap-and-wait. One-command install via `npx android-mcp-server`.

🐍 🏠 🍎 🪟 🐧 - Structural codebase indexer exposing 17 query tools (functions, classes, imports, dependency graphs, change impact) via MCP. Zero dependencies.

📇 ☁️ - Generate comprehensive, paint-by-numbers development plans using the [ClaudeCode-DevPlanBuilder](https://github.com/mmorris35/ClaudeCode-DevPlanBuilder) methodology. Creates PROJECT_BRIEF.md, DEVELOPMENT_PLAN.md, and CLAUDE.md.

📇 🏠 🐧 🍎 - MCP Server for Android/iOS application and device automation, development and app scraping. Simulator/Emulator/Physical devices like iPhone, Google Pixel, Samsung supported.

[](https://glama.ai/mcp/servers/getmockd/mockd) 🏎️ 🏠 🍎 🪟 🐧 - Multi-protocol API mock server with 18 MCP tools. Mock HTTP, GraphQL, gRPC, WebSocket, MQTT, SSE, and SOAP APIs with chaos engineering, stateful CRUD, 8 import formats (OpenAPI, Postman, HAR, WireMock, cURL, Mockoon, WSDL), and deterministic seeded responses.

[](https://glama.ai/mcp/servers/ofershap/mcp-server-devutils) 📇 🏠 - Zero-auth developer utilities: base64, UUID, hash, JWT decode, cron parse, timestamps, JSON, and regex.

[](https://glama.ai/mcp/servers/ofershap/mcp-server-dns) 📇 🏠 - DNS lookups, reverse DNS, WHOIS, and domain availability checks. Zero auth, zero config.

[](https://glama.ai/mcp/servers/ofershap/mcp-server-docker) 📇 🏠 - Docker operations — manage containers, images, volumes, networks, and compose services.

[](https://glama.ai/mcp/servers/ofershap/mcp-server-github-actions) 📇 ☁️ - GitHub Actions — view workflow runs, read logs, re-run failed jobs, and manage CI/CD.

[](https://glama.ai/mcp/servers/ofershap/mcp-server-github-gist) 📇 ☁️ - Create, read, update, list, and search GitHub Gists from your IDE.

[](https://glama.ai/mcp/servers/ofershap/mcp-server-markdown) 📇 🏠 - Search, extract sections, list headings, and find code blocks across markdown files.

[](https://glama.ai/mcp/servers/ofershap/mcp-server-npm-plus) 📇 ☁️ - npm intelligence — search packages, check bundle sizes, scan vulnerabilities, compare downloads.

[](https://glama.ai/mcp/servers/ofershap/mcp-server-scraper) 📇 ☁️ - Web scraping — extract clean markdown, links, and metadata from any URL. Free Firecrawl alternative.

📇 🏠 ☁️ 🍎 🪟 🐧 - Intelligent token optimization achieving 95%+ reduction through caching, compression, and 80+ smart tools for API optimization, code analysis, and real-time monitoring.

🎖️ 🏎️ ☁️ 🪟 🍎 🐧 - Official MCP Server for [OpsLevel](https://www.opslevel.com)

🎖️ 🦀 📇 ☁️ - One MCP for all your integrations — powered by [Pica](https://www.picaos.com), the infrastructure for intelligent, collaborative agents.

JVM Flight Recorder forensic analysis engine providing exception tracing, slow SQL detection, network I/O profiling, CPU hotspot identification, and memory analysis for AI agents.

🦀 🏠 - Justfile integration that enables LLMs to execute any CLI or script commands with parameters safely and easily, with environment variable support and comprehensive testing.

☕ 🏠 - 56 semantic Java analysis tools via Eclipse JDT. Compiler-accurate navigation, refactoring, find references, call hierarchy, and code metrics for AI agents.

#️⃣ 🏠 - 58 semantic C#/.NET analysis tools via Roslyn. Navigation, refactoring, find usages, and code intelligence for AI agents.

🐍 🏠 - Locust MCP Server for performance testing

🎖️ 📇 ☁️ - Flag features directly from chat in your IDE with [Reflag](https://reflag.com).

🎖️ 🐍 ☁️ 🍎 - MCP server for the incident management platform [Rootly](https://rootly.com/).

📇 🏠 🍎 🪟 🐧 - Self-evolving MCP server that generates and improves its own tools at runtime. Built on FastMCP, Janee uses LLM-driven tool generation to dynamically create, test, and refine MCP tools from natural language descriptions — enabling AI agents to extend their own capabilities on the fly.