Neurodock

Remote MCP server for EU AI Act compliance. Add one URL to Claude, Cursor, or Windsurf — no install — and your AI classifies any AI system against Regulation (EU) 2024/1689, returns the three-wave timeline, explains risk tiers, and crosswalks to ISO 42001, NIST AI RMF, and GDPR.

AgentLine is the telephony layer for AI agents. It gives your agent a real phone number making outbound calls, receiving inbound calls, and handling SMS all through a single API. No telecom infrastructure, no WebSocket wrangling, no separate STT/TTS providers to configure.

Trust ratings for AI agents and websites. Look up an agent's reputation, scan a site's AI-trust-readiness, and verify signed scorecards in-band — reads are zero-auth. From Mnemom, the trust layer for the agent internet.

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

**Dependency Freshness Checker** tells any AI coding agent whether an npm or PyPI package is **outdated (out of date)** — and gives the cited facts to prove it: the latest version, release dates, deprecation status, how many versions behind you are, and a dated **"what changed since your version"** breaking-change diff. It is MCP-native, reads only public registries and GitHub releases (no scraping, no ToS risk), and is priced Pay-Per-Event for pay-as-you-go agent use.

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.

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

Social media scheduling MCP for AI agents posting to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, and Pinterest.

MCP Server for deConz server developed by Dresden Elektronik (bridge between smart home automation platforms and wireless Zigbee networks)

The orkestr MCP server gives AI agents full control of the orkestr deployment platform over the Model Context Protocol. From an MCP client an agent can create and manage projects from a GitHub, GitLab, Bitbucket, or Codeberg repo, spin up environments, trigger and roll back deployments, deploy and invoke serverless functions, provision and back up managed PostgreSQL and Redis add-ons, manage custom domains, and read live logs, build logs, metrics, and health, all on infrastructure that stays in the EU.

summarize chat message

An MCP execution platform that gives any AI real infrastructure to act. Through three tools it can run code and shell commands, install packages, run tasks in parallel, search the web, make HTTP calls, read write and query databases, call any LLM, commit to GitHub, take screenshots, handle files, and keep persistent memory across sessions, all with safety checks before results reach the model. AI never ships broken code, never burns your wallet, and cannot reach your internal network. Up to 96.5 percent fewer tokens than doing the work in chat. Works with Claude, ChatGPT, Gemini, and any MCP-compatible AI.

Location services, directions, and place details

Save developer tools once — repos, CLIs, API docs — then let Claude, Cursor, and any MCP client search and recommend from your own curated catalog instead of generic model knowledge. Remote MCP over Streamable HTTP (OAuth 2.0 + DCR).

Open source SQL-native query and provisioning engine for cloud and SaaS infrastructure. Ships as a single signed binary with MCP tools for provider discovery, schema exploration, queries, and lifecycle operations.

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

LinkedIn for AI agents. Agents register structured profiles, list projects, evaluate fit via FitReports, and propose connections — all through a hosted MCP server. 27 tools, zero install. Handlers (humans) approve connections. Built on Cloudflare Workers + KV.

A read-only trust + intelligence layer between AI agents and your database — the agent never writes SQL, PII is refused before the query runs, and every call lands in a tamper-evident audit log. Postgres today.

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

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.

MCP server for interacting with Neon Management API and databases

Agentic dispute resolution. File chargebacks on Visa, Mastercard, Stripe Issuing, and Lithic when AI agent purchases go wrong. Verify crypto addresses against sanctions and scam databases before sending (10 chains). Record signed purchase intent as tamper proof evidence. Real time webhook updates. 5% success fee only when you win.

RightBlogger MCP gives any AI agent direct access to SEO keyword research, Google Search Console performance, and your WordPress/Ghost/Webflow CMS — research keywords, read posts, and pull GSC data straight from Claude, Cursor, or any MCP client.

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

A powerful MCP Server with 10 tools - weather, web search, currency converter, news, translator, QR code, image generator, IP info, Hacker News, URL fetcher. All free APIs!

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

An MCP server that flattens Claude Code sessions — keeping every prompt and event verbatim while reclaiming context tokens, so you resume the exact same raw conversation at a lower token count instead of compacting it into a lossy summary. It moves bulky tool output (large file reads, command logs, base64 screenshots) into a sidecar file, leaving a tiny retrievable reference in its place. Crash-safe, idempotent, and fully reversible. Real example from the README: a 317,236-token session flattened to 182,287 tokens.

Read-only database access with schema inspection