Podman MCP Server

AI image generation using various models

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

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

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。

US crime safety scores, recent incidents, neighborhood demographics, rent data, and registered-offender search by address. Free tier available.

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.

Channel management and messaging capabilities

An MCP server that provides a tool for sending transactional emails via Mailtrap

### 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.*

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.

Web content fetching and conversion for efficient LLM usage

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.

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

Secure file operations with configurable access controls

Retrieving and analyzing issues from Sentry.io

When your AI runs git through a shell, it reads back raw command output — hundreds of tokens of noise to extract one piece of information. GitEasy MCP returns structured data: branch names, changed files, commit history — exactly what your AI needs, nothing extra. The same git operation at a fraction of the token cost. 21 tools, plain English, zero shell parsing.

MCP Emails connects your email accounts (Gmail, Fastmail, generic IMAP/SMTP) to AI assistants. Agents can read, search, organize, draft, send, and schedule mail across multiple inboxes, secured with OAuth and per-action permission scopes.

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

Playwright MCP server

GitLab API, enabling project management

MCP server to provide Figma layout information to AI coding agents like Cursor

Local guardrail proxy for AI coding agents. Wraps any MCP server (stdio or Streamable HTTP) and blocks destructive tool calls — DROP TABLE, rm -rf, force-push — before they execute. TOFU catalog pinning against rug pulls, plus tool-poisoning and result-injection scanning. Single Rust binary, Apache-2.0.

ADP integrates Vision-Language Models (VLM), Large Language Models (LLM) and autonomous agent decision-making technologies. It reshapes traditional document processing by transforming conventional rule-based field extraction into goal-driven end-to-end intelligent automation. Focused on intelligent processing of business documents, ADP automatically classifies overseas invoices, domestic vouchers, procurement contracts, logistics documents, financial statements and trading contracts, and accurately extracts key fields. It also supports table parsing, content verification and multilingual recognition. Requiring no template setup, data labeling or ongoing rule maintenance, it efficiently handles high-volume document processing tasks.

Remote Streamable HTTP MCP server for AI SRE workflows: server health, alerts, diagnostics, playbooks, approvals, audit history, deploy verification, and safe server inspection. Uses OAuth 2.1 with PKCE.