Aidress

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

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.

Write notes to Flomo

Secure file operations with configurable access controls

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

Browser automation and web scraping

Read-only database access with schema inspection

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Aidress is the coordination layer for autonomous AI agents. It gives agents a way to find, verify, and transact with unknown counterparts — without handing back to a human. Today, AI agents fail at cross-agent transactions because there is no shared infrastructure for the steps that happen before a transaction: who is this agent, can it do what I need, should I trust it, and how do I route value to it? Aidress provides those five layers.

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。

Self-learning memory for AI tools. Remembers user preferences and context across Claude, Cursor, and Codex — with multi-parameter forgetting and cross-tool identity.

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

Shinobi gives every AI coding agent on your machine — and every cloud Claude session — one shared task spine, decision log, and searched dead-ends ledger. Every failed approach is logged and semantically checked before an agent proposes a similar one, so agents stop repeating mistakes across sessions. Adds mobile approvals (request_approval pushes to your phone) and an autonomous dispatch/swarm that drains the backlog with N parallel agents in isolated git worktrees, all sharing one brain. Local-first SQLite over stdio, or remote streamable-HTTP MCP you can self-host for $0/mo. 39 tools, plugin system, MIT. Works with Claude Code, Claude Desktop, Cursor, Cline, Continue.dev, Zed.

A Model Context Protocol (MCP) server for creating, managing, and executing Bruno API testing collections. Supports both .bru and .yml (opencollection) formats with built-in security hardening. Why This MCP Server? Use this when you want an AI agent (Claude, Copilot, etc.) to create, inspect, or execute Bruno API test collections programmatically — without opening the Bruno GUI or installing the Bruno CLI. Typical use cases: AI-assisted test generation, CI pipeline integration, automated API exploration. Requires Node.js >= 18.0.0. Features: - Collection Management: Create and organize Bruno collections - Environment Configuration: Manage multiple environments (dev, staging, prod) - Request Generation: Generate request files for all HTTP methods - Authentication Support: Bearer, Basic, OAuth 2.0, API key, Digest - Test Scripts: Add pre/post request scripts and assertions - CRUD Operations: Generate complete CRUD request sets - Collection Statistics: Analyze existing collections - Dual Format Support: .bru (legacy) and .yml (opencollection YAML) with auto-detection - Collection Discovery: Discover Bruno collections from workspace with zero config - Request Modification: Partial-merge updates to existing request files - Variable Chaining: bru.setVar()/bru.getVar() for cross-request variable flow - Dependency Ordering: Topological sort for test suite execution order - Request Execution: Execute requests and run tests with structured results - Security Hardening: SSRF protection, path traversal prevention, VM sandbox for test scripts

Playwright MCP server

Schedule and publish social media posts to 11+ platforms (X, Instagram, Facebook, TikTok, LinkedIn, YouTube, Threads, Pinterest, Bluesky, Telegram, Google Business Profile) from Claude, ChatGPT, or Cursor. Connect via the hosted OAuth URL (no key, nothing to self-host) or run it locally with npx and your PostFast API key.

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

Sequenzy MCP lets AI agents manage email marketing operations through a hosted remote MCP server. Agents can work with subscribers, tags, lists, segments, campaigns, sequences, transactional email templates, landing pages, inbox replies, webhooks, analytics, and deliverability data using structured tools instead of raw API calls. The server supports authenticated access to a user’s Sequenzy workspace and is designed for agent workflows across Claude, ChatGPT, Cursor, Codex, Windsurf, VS Code Copilot, and other MCP-compatible clients.

Agent-to-agent knowledge exchange for trading intelligence. Agents publish empirical findings (sector failures, entry signals, exit patterns, regime signals), vote based on their own results, and earn reputation. Quality self-regulates through voting — no human curation required. How it works: - Publish a finding → starts at 0.5× weight (claimed) - 5+ upvotes → upgrades to 1.0× (validated) - Attach trade records → upgrades to 2.0× (evidenced) - 3 independent replications → upgrades to 3.0× (verified) Contribution-gated access: publish first, then query. The more you contribute, the higher-credibility intelligence you unlock (Tier 0→3). 10 MCP tools: publish_finding, query_findings, vote, add_trade, submit_trade, get_agent_status, get_consensus_alerts, query_network_brief, get_skills, get_skill. Sector consensus alerts: when multiple agents independently lose money in the same sector, the network fires a cross-agent warning automatically — the strongest signal on the platform. Named after Moltbook (agent social network) + Bloomberg (intelligence terminal). Moltbook was agents talking. Agentberg is agents learning.

Home Services MCP by HireNimbus lets AI agents find, compare, and book verified local pros for handyman, renovation, HVAC, plumbing, electrical, and landscaping jobs in supported US metro markets.

AI-native HTTP security testing toolkit (MCP server): 17 HTTP tools giving an AI agent low-level control over HTTP/1.1 and HTTP/2 (raw framing, connection pinning, intruder, race, OOB, chains) on its own Go engine. Free tier; docs at rqwstr.com.

AI-native customer onboarding: live projects, KPIs, tasks, and emails with Onboard MCP. Connect Onboard to Claude or any MCP-compatible AI client to seamlessly surface blocked tasks, draft customer emails, monitor KPIs, and take action—right from your AI workspace. Access 27+ purpose-bu ilt tools that cover every stage of the customer onboarding lifecycle, all from within your preferred AI assistant.

A self-service creative engine for app and consumer brands. Sense signals, express narratives, learn from results. Sold as Time-to-Winner, not video volume.

Generate smart QR codes for App Store and Google Play. One QR detects the device and redirects iOS users to the App Store and Android users to Google Play. Free, no subscriptions, no third-party servers in the redirect chain.

Spimov MCP — AI video dubbing, inside your chat Spimov MCP connects the Spimov (https://spimov.com) dubbing engine to Claude and any Model Context Protocol client. Ask in plain language — "dub this YouTube short into German and upload it unlisted to my channel" — and the whole pipeline runs server-side: transcription, translation, voice synthesis, lip-sync, and publishing. What you can do - 🎬 Dub from a YouTube link or a local file — regular videos, Shorts, and YouTube Music all supported. - 🌍 17 target languages, with auto source-language detection. - 🗣️ Choose your voice engine — xtts (high-quality, default), chatterbox (emotion-aware), or elevenlabs. - ✍️ Edit before you publish — list transcript segments and fix any line's text, emotion, or speaker; only that segment is re-synthesized. - 💬 Subtitles your way — fetch SRT/VTT, burn them in, or embed soft tracks in extra languages. - 🎚️ Remix without re-dubbing — adjust the audio mix, subtitle styling, or lip-sync on a finished job. - 📺 Publish to YouTube automatically when the dub finishes. - 🔗 Get a shareable download link for the finished MP4 — works in the browser, no API key needed. Works everywhere MCP does - Claude Desktop / Claude Code (stdio) — supports local file upload. - Claude web & hosted clients — connect to the hosted Streamable HTTP server, no install required. Setup in 2 minutes — grab an API key from spimov.com, drop it into your MCP config, and start dubbing. --- 4. Launch / duyuru postu (X / LinkedIn) ▎ We just shipped Spimov MCP 🎬 ▎ ▎ Dub any video into 17 languages without leaving your AI chat. Paste a YouTube link → Claude transcribes, translates, voices, and can publish it straight to YouTube. ▎ ▎ • Local file or YouTube URL ▎ • Edit any line, re-synth just that segment ▎ • SRT/VTT, burned-in or soft subtitles ▎ • Works in Claude Desktop, Claude Code & Claude web ▎ ▎ pip install spimov-mcp → spimov.com ▎ #MCP #Claude #AIdubbing --- 5. MCP marketplace metadata (alanlar) - Name: Spimov - Category: Media / Video - Description: Dub videos into 17 languages, edit translations, generate subtitles, and publish to YouTube — from any MCP client. - Auth: API key (spk_live_…) - Homepage: https://spimov.com - Install: pip install spimov-mcp (stdio) or connect https://mcp.spimov.com/mcp (HTTP)

# debmatic-mcp Connects to a **HomeMatic CCU**'s built-in JSON-RPC API and exposes your devices, rooms, programs, and system variables as MCP tools — **no addons, no XML-API, no cloud**, just a direct connection on your local network. Works with **debmatic**, **CCU3**, and **RaspberryMatic**. ## Features - **25 tools** spanning device control, diagnostics, and configuration - **Read**: list devices/rooms/functions/programs/system variables, read values & paramsets, describe device types, list links - **Control**: set values, run programs, set/create/delete system variables, assign/unassign channels, execute HM-Script - **Diagnostics**: RSSI/radio quality, service messages (read + acknowledge), system info - **Production-hardened**: bearer-token auth with expiry & rotation, optional native TLS, CCU certificate verification (fingerprint pin or CA), rate limiting, DNS-rebinding protection, and structured tool output (`outputSchema`) ## Install ```json { "mcpServers": { "debmatic": { "command": "npx", "args": ["-y", "debmatic-mcp", "--stdio"], "env": { "CCU_HOST": "your-ccu-host", "CCU_PASSWORD": "your-ccu-password" } } } } Configuration Required: CCU_HOST, CCU_PASSWORD Common optional: CCU_USER (default Admin), CCU_HTTPS (default false), CCU_PORT (80/443), CACHE_DIR (default /data) Also runs as a standalone HTTP server (Docker) for networked clients. Full docs in the README. Repo: https://github.com/claymore666/debmatic-mcp · npm: debmatic-mcp · License: MIT

Outcome-aligned AI workflow registry. Design and run AI workflows with verifiers that align an agent to measurable outcomes, with reliable image output.

Location services, directions, and place details