Tauri MCP Server

Deploy landing pages, manage leads, and view analytics from any AI assistant. Works with Claude Code, Claude Desktop, and Cursor.

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

Connect ESPN & Yahoo fantasy leagues to AI assistants via MCP. Read-only tools for rosters, standings, matchups, free agents, and league info across football and baseball. Works with Claude, ChatGPT, and Gemini.

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Repository management, file operations, and GitHub API integration

Model Context Protocol (MCP) server for Kinsta WordPress hosting

百川智能发布的基于全球最强医疗增强模型Baichuan M3 Plus构建的MCP Server，全网第一批完整支持MCP APPs协议，提供可视化的回答内容，体验完全对标百川官方严肃医疗 APP 百小应。

I gave Claude a mass grave of 200 markdown files and now it remembers my entire project between sessions. No cloud, no API keys, one 10mb Go binary, and private. Stateless Agent Memory Engine is your synapse to the CLI. SAME (Stateless Agent Memory Engine) is persistent memory for AI coding agents. It indexes your markdown notes locally — Obsidian vaults, Logseq graphs, or plain folders — and surfaces relevant context automatically through a 6-gate relevance chain. ~80% of prompts are correctly skipped so your agent isn't drowning in context it doesn't need. 12 MCP tools (9 read, 3 write): semantic search across your knowledge base, filtered search by domain/tag, federated search across multiple vaults, session context with pinned notes and handoffs, save decisions, create handoffs for the next session. SQLite + Ollama embeddings on localhost. Falls back to keyword search without Ollama. No outbound network calls, no telemetry, no accounts. Your notes never leave your machine. Works with Claude Code (hooks + MCP), Cursor, Windsurf, and any MCP client via stdio transport.

An MCP (Model Context Protocol) server specialized in deciphering PDF internal structures. While typical PDF MCP servers are thin wrappers for text extraction, this project focuses on reading and analyzing the internal structure of PDF documents. Pair it with pdf-spec-mcp for specification-aware structural analysis and validation.

Web content fetching and conversion for efficient LLM usage

An MCP server that provides AI agents with a persistent, PostgreSQL-backed virtual filesystem. Supports session-isolated file operations, cross-session shared stores, 11 POSIX-style tools (read, write, ls, mkdir, rm, mv, glob, grep, etc.), and optional Row Level Security for multi-tenant deployments. Works with Claude Desktop, Claude Code, Cursor, Windsurf, Cline, and any MCP client.

MCP Advisor & Installation - Use the right MCP server for your needs

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

Write notes to Flomo

PhysBound is a specialized "Physics Linter" for AI that deterministically validates RF and thermodynamic claims against hard physical limits, preventing hallucinations in engineering workflows.

Works with Claude Code, Claude Desktop, Cursor, OpenClaw, and any MCP-compatible client. The @latest tag ensures you always get the most recent version. Why Agents that integrate with external libraries are flying blind. They read docs (if they exist), guess at APIs, and hallucinate patterns that don't match the actual code. The result: broken integrations, wrong function signatures, outdated usage patterns, hours of debugging. When an agent can actually analyze the source code of a library or service it's integrating with, everything changes. It sees the real function signatures, the actual data flow, the patterns the maintainers intended. Integration becomes dramatically easier and less error-prone because the agent is working from ground truth, not guesses. What Agents Can Do With This - Integrate with any library correctly the first time — "How do I set up authentication with this SDK?" gets answered from the actual code, not outdated docs or training data. Your agent sees the real constructors, the real config options, the real error types. - Migrate between versions without the guesswork — Point your agent at both the old and new version of a library. It can diff the actual implementations and generate a migration plan that accounts for every breaking change. - Debug issues across repository boundaries — When a bug spans your code and a dependency, your agent can read both codebases and trace the issue to its root cause — even into libraries you've never opened. - Generate integration code that actually works — Instead of producing plausible-looking code that fails at runtime, your agent writes integration code based on the real API surface: actual method names, actual parameter types, actual return values. - Evaluate libraries before committing — "Should we use library A or B?" Your agent can analyze both implementations, compare their approaches to error handling, test coverage, and architectural quality, and give you a grounded recommendation. - Onboard to unfamiliar codebases in minutes — Point your agent at any repo and ask how things work. It answers from the code itself, with file paths and line numbers, not from memory that may be months out of date.

MCP Server for consulting Electronic Service Invoices (NFSe) via the Brazilian National Portal (nfse.gov.br). It allows AI agents to authenticate using e-CNPJ/e-CPF digital certificates to query, detail, and download PDFs of issued NFSe.

Encoding-aware file operations for AI assistants. Auto-detects and preserves CP1251, CP1252, ISO-8859, KOI8 and 19 other legacy encodings that get corrupted by UTF-8-only tools. Written in Go, single binary, 19 tools.

Ziwei AI Overview: Ziwei AI is an innovative AI application based on the wisdom of traditional Chinese culture, specifically “Ziwei Dou Shu.” It aims to help users better inherit Chinese civilization by leveraging big data methodologies to process information, understand oneself, master life’s rules, and improve work and life efficiency. Ziwei AI seamlessly integrates the wisdom of traditional culture with modern technology. With its three core features—charting, chart analysis, and interactive reports—Ziwei AI provides a professional yet simplified, engaging, and accessible tool. It caters to users’ needs for big data trend analysis and interpretation. Core Features: 1. Charting Function: Ziwei AI offers comprehensive charting services, including birth charting, 10-year fortune charts, annual/luck cycle charts, monthly charts, daily charts, and even hourly charts. This function allows users to visualize their Ziwei star charts, combining historical, geographical, and astronomical knowledge to understand personality traits and natural talents while identifying trends and developments across different life stages. 2. Chart Analysis: Ziwei AI delivers fully automated analysis services and generates real-time, precise reports. Using a systematic approach, it provides targeted interpretations of charting results, uncovering hidden data insights. This helps users objectively understand the underlying values and positive energies, enabling smarter decisions in life to maximize benefits and avoid pitfalls. 3. Interactive Reports: Ziwei AI enables users to engage with traditional cultural knowledge through conversational interactions. It offers personalized and engaging Ziwei Dou Shu knowledge in an easily digestible format, enhancing user experience and contextualizing interpretations for daily life scenarios. This functionality fosters better understanding and promotes traditional cultural dissemination. 4. Cultural Inheritance and Popularization: By combining traditional Chinese culture with modern technology, Ziwei AI innovatively inherits the wisdom of Ziwei Dou Shu while promoting Chinese civilization on the global stage. Its AI-generated reasoning reports not only improve the scientific validity and readability of metaphysics but also contribute to the dissemination of Eastern traditional culture in contemporary society. Ziwei AI is not just a practical and fun technological application; it is a gateway to the profound wisdom of traditional culture empowered by artificial intelligence. Let us embrace this groundbreaking fusion of ancient wisdom and modern technology. Service Access: • WeChat Official Account: Ziwei AI • Website: https://ziweiai.com.cn

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

Access 20+ DeFi, crypto, and AI endpoints through micro-payments. Get Aave rates, build DeFi transactions, fetch crypto prices, resolve ENS names, search Twitter, and query LLMs — all paid per-call with USDC on Base. No API keys needed, payment is the auth

Mobile proxies, Non-VoIP SMS verifications, and global eSIM data plans for AI agents and MCP clients. 18 tools for renting phone numbers, purchasing mobile proxies, buying eSIM data plans, and managing crypto wallet deposits.

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

MCP server for interacting with Neon Management API and databases

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.