Discover Awesome MCP Servers

@cyanheads/openalex-mcp-server

Access the OpenAlex academic research catalog - 270M+ publications through MCP. Supports STDIO and Streamable HTTP.

Sync MCP Server

Enables AI agents to create lipsync videos, manage assets, and check generation status via the Sync API.

mock-mcp

A minimal local HTTP MCP mock server for development and testing, providing predictable tool responses with OAuth token support and zero dependencies.

Greeter MCP Server

A simple demonstration MCP server that provides a greeting functionality when integrated with Gemini CLI.

Swemo MCP

An MCP server that provides tools for querying Swedish monetary-policy data from Sveriges Riksbank, including GDP, unemployment, CPI, and policy rates, enabling LLMs and clients to fetch economic indicators and forecasts.

signaldaemon-mcp

Narrative & signal intelligence for AI agents: crypto/AI/macro convergence & divergence.

jarvis-orb

Persistent 4-tier AI memory (episodic, semantic, project, procedural) with temporal scoring, contradiction detection, entity tracking, and real-time desktop visualization orb.

Remote MCP Server

A Cloudflare Workers implementation of Model Context Protocol (MCP) server that enables AI tools to be exposed to Claude and other assistants through OAuth authentication.

All Voice Lab MCP Server

All Voice Lab MCP Server

brahe-mcp

Exposes the astrodynamics capabilities of the Brahe library enabling language models to perform space situational awareness and astrodynamics calculations.

MCP-DOCKER-Atlassian

Here are a few ways to translate "MCP Server that runs on Docker with connect to Atlassian" into Indonesian, depending on the specific nuance you want to convey: **Option 1 (Most straightforward):** * **Server MCP yang berjalan di Docker dan terhubung ke Atlassian.** * This is a direct translation and is generally well-understood. **Option 2 (Slightly more formal):** * **Server MCP yang dijalankan menggunakan Docker dan terintegrasi dengan Atlassian.** * "Dijalankan menggunakan" is a bit more formal than "berjalan di". * "Terintegrasi dengan" (integrated with) is a slightly more technical term than "terhubung ke" (connected to). **Option 3 (Emphasizing the Docker container):** * **Server MCP yang di-containerisasi dengan Docker dan terhubung ke Atlassian.** * "Di-containerisasi" emphasizes that the MCP server is packaged within a Docker container. **Option 4 (Focusing on the connection to Atlassian):** * **Server MCP yang berjalan di Docker, dengan koneksi ke Atlassian.** * This emphasizes the connection to Atlassian by using "dengan koneksi ke". **Which option is best depends on the context:** * If you're just describing the setup in a general way, **Option 1** is perfectly fine. * If you're writing technical documentation, **Option 2** might be more appropriate. * If you want to highlight the use of Docker containers, **Option 3** is a good choice. * If the connection to Atlassian is the most important aspect, **Option 4** is suitable. Therefore, I recommend: **Server MCP yang berjalan di Docker dan terhubung ke Atlassian.**

Airtable MCP Server

A Model Context Protocol server that provides read and write access to Airtable databases, enabling LLMs to inspect database schemas, then read and write records.

Schedule Task MCP

Enables creation and management of scheduled tasks with interval, cron, or one-time triggers. Persists tasks in SQLite and supports MCP sampling to automatically invoke AI agents when schedules trigger.

AI Vision MCP Server

Provides AI-powered visual analysis capabilities for Claude and other MCP-compatible AI assistants, allowing them to capture and analyze screenshots, perform file operations, and generate UI/UX reports.

Intersight MCP Server

Enables LLMs to interact with Cisco Intersight APIs for managing data center infrastructure, including server monitoring, policy management, network configuration, and hardware telemetry across 199 tools.

kingdee-k3cloud-mcp

MCP server for Kingdee K3Cloud ERP that enables AI assistants to query and operate ERP data via natural language through the Model Context Protocol.

Orchestrator MCP Server

Bridges Claude Code to a Cloud Orchestrator API, providing access to multi-AI consensus, web search, code execution sandboxes, long-term memory, knowledge graphs, deployment management, and 20+ integrated AI and developer tools.

mcp-server-subagent

An MCP server that allows a planning agent to delegate tasks to executor agents (e.g., Claude Code, Aider) with bi-directional communication and real-time log streaming.

Google Workspace MCP Server

Provides 84 specialized tools for comprehensive Google Workspace automation including Gmail, Calendar, and Drive operations. Features persistent background service with centralized OAuth authentication through Composio for secure enterprise integration.

imprint-mcp-server

Enables querying local meeting notes, calendar events, email metadata, and daily digests from Imprint's database via natural language through Claude Desktop and other MCP clients.

Chinese Fortune Analysis System (BaZi)

Enables traditional Chinese fortune-telling through BaZi (Four Pillars) analysis, including solar/lunar date conversion, Five Element balance calculations, Ten Gods deduction, and destiny interpretation for metaphysics applications.

Lenses MCP Server

Manage, explore, transform and join data in Kafka topics across multiple clusters using different flavours of Apache Kafka via Lenses.io (including the free Community Edition)

Katana MCP Server

Enables seamless interaction with the Katana network for cross-chain bridging, SushiSwap trading, and Yearn vault management. It allows AI assistants to manage portfolios and execute DeFi operations across multiple networks including Ethereum, Polygon, and Arbitrum.

A2CR

MCP server for AI-agent handoffs with client-encrypted WorkBaton checkpoints and WorkStash notes.

Marp MCP Server

Enables creation and management of Marp presentation projects with academic themes and structured slide layouts. Supports project initialization, slide generation with 6 layout templates, and integration with AI-powered editors like Claude Code and Cursor.

Puch AI MCP Starter

A starter template for creating MCP servers that work with Puch AI, featuring built-in tools for job searching and image processing. Includes job description analysis, job posting fetching, job search capabilities, and image-to-grayscale conversion with bearer token authentication.

notation-mcp

Render music notation from a JSON score to inline SVG (Verovio + Bravura), round-trippable MusicXML, and base64 MIDI in one call. Includes pre-flight validation with concrete fix suggestions and a curated music-theory knowledge search. Free, open, no auth, sponsored by Gradus School of Music Composition.

Trace MCP

Static analysis engine that detects schema mismatches between data producers (like MCP servers) and consumers (like client code), preventing runtime errors by validating contracts at development time.

browser-mcp-demo

Provides a remote browser session and MCP tools for restricted search and extraction on sites like XHS, Yelp, and TripAdvisor, with human-in-the-loop login.

LinkPulse

URL reality check for AI agents — returns HTTP status, SHA-256 content hash, classification, readability score, title, and wayback-machine fallback when dead, cached 10 minutes at $0.001 per call.