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MCP.so is a third-party MCP Marketplace with 22577 MCP Servers collected.
ShipAny: NextJS boilerplate for building AI SaaS startups.
Latest MCP Servers
View Allurl-shortener
Embed toui in your AI workflow: connect this remote, OAuth-secured MCP server once, then shorten links, pull click stats, and analyze campaigns — right inside ChatGPT or Claude.
Thiri Chord Intelligence
### Deterministic Music Theory for Claude, Cursor, and Autonomous AI Agents Large Language Models (LLMs) frequently hallucinate music theory, leading to incorrect notes, false Roman numerals, and broken voice leading. **THIRI** solves this by providing a deterministic, mathematical music-theory engine (pitch-class-set theory over ℤ/12) directly to your AI. It gives AI assistants precise, reproducible harmonic reasoning in milliseconds, allowing them to write correct musical scores, analyze progressions, and generate playable arrangements. #### 🎷 Key Features: * **Chord Analysis (`analyze_chord`):** Parse any symbol (e.g., `Cmaj7/E`, `G7#11`) to retrieve root, quality, intervals, Roman numerals, and diatonic or chromatic harmonic functions. * **Note Resolution (`resolve_chord`):** Resolve chord symbols to spelled notes (enharmonically correct), frequencies (Hz), MIDI numbers, and scale recommendations. * **Voicing Engine (`generate_voicing`):** Generate instrument-ready voicings (rootless, shell, triad, pad, drop-2, drop-3) and calculate voice-leading scores for transitions. * **Reharmonization (`reharmonize`):** Substitute progressions using classic jazz techniques, including Tritone Substitution, ii-V Insertion, Modal Interchange, Coltrane Changes, and Backdoor cadences. *Ideal for developers building AI music assistants, digital audio workstation (DAW) agents, educational theory tools, and automated composition workflows.*
Lonestaroracle Mcp Server
38 tools for live data access: crypto token analysis, DeFi risk, equities, energy markets, weather forecasts, real estate metrics, and on-chain intelligence.
Urbankit Atlas — Us County Parcel Arcgis Rest
Give AI assistants direct access to 152 verified US county parcel ArcGIS REST endpoints across 50 states. Look up a county's REST endpoint, get its real owner/taxpayer field name, and build a ready-to-fire owner-name search query — no ArcGIS expertise or API key required.
Webotee — Amazon Product Research Mcp
Amazon brand, seller, niche & buy-box intelligence — inside your own Claude or ChatGPT. Webotee AI Connect adds Webotee's Amazon operator, brand, niche and seller research dataset to the AI you already use. Ask a question in Claude or ChatGPT and it queries the Webotee dataset directly — a research connector for sellers, built on 2+ years of daily US (and UK) marketplace observations of the BSR top‑1M+.
Latest MCP Clients
View AllADSUMO - #1 MCP for ad creatives
Adsumo turns any MCP-compatible AI tool into an ad studio. Connect once and your assistant can create professional, on-brand image and video ads without design tools or manual exports. Onboard a brand from a URL and Adsumo learns its logo, colors, voice, and products, so every ad comes out on-brand automatically. From there you can generate batches of image ads, produce video ads with Sora, Veo, Kling, or Seedance, edit and reframe creatives for any placement, translate copy into 100+ languages, and research what is winning in your niche through the built-in ad library. Run a single prompt or fire a full launch campaign across formats in one chat. *Some features require a subscription
OMNFLOW
Omnflow MCP gives AI agents three content automation tools: repurpose_content turns a blog post, transcript, or idea into 5 platform-ready posts (Twitter, LinkedIn, Instagram, etc.), analyze_voice extracts a writer's Voice DNA — tone, sentence style, and patterns — from any writing sample, and list_recent_demos lists recent public demo runs so you can see real inputs and outputs. Connect via https://omnflow.com/api/mcp.
OpenSEO
SEO research tools for AI agents: keyword research and metrics, SERP and local SERP results, domain and backlink analysis, rank tracking, and Google Search Console performance.
BUILDY
Buildy lets ChatGPT, Claude, or any coding agent build real web apps on demand. The app works across agents, so you can build it once and keep using the same app/data from ChatGPT, Claude, Codex, or wherever your agent runs.
FAQ
Frequently Asked Questions about MCP Server
What is MCP (Model Context Protocol)?
MCP is an open-source protocol developed by Anthropic that enables AI systems like Claude to securely connect with various data sources. It provides a universal standard for AI assistants to access external data, tools, and prompts through a client-server architecture.
What is MCP Server?
MCP Server is a system that provides context, tools, and prompts to AI clients. It can expose data sources like files, documents, databases, and API integrations, allowing AI assistants to access real-time information in a secure way.
How do MCP Server work?
MCP Server work through a simple client-server architecture. They expose data and tools through a standardized protocol, maintaining secure 1:1 connections with clients inside host applications like Claude Desktop.
What can MCP Server provide?
MCP Server can share resources (files, docs, data), expose tools (API integrations, actions), and provide prompts (templated interactions). They control their own resources and maintain clear system boundaries for security.
How does Claude use MCP?
Claude can connect to MCP server to access external data sources and tools, enhancing its capabilities with real-time information. Currently, this works with local MCP servers, with enterprise remote server support coming soon.
Is MCP Server secure?
Yes, security is built into the MCP protocol. Server controls its own resources, there's no need to share API keys with LLM providers, and the system maintains clear boundaries. Each server manages its own authentication and access control.
What is mcp.so?
mcp.so is a community-driven platform that collects and organizes third-party MCP Servers. It serves as a central directory where users can discover, share, and learn about various MCP Servers available for AI applications.
How can I submit my MCP Server to mcp.so?
You can submit your MCP Server by creating a new issue in our GitHub repository. Click the 'Submit' button in the navigation bar or visit our GitHub issues page directly. Please provide details about your server including its name, description, features, and connection information.