"Verbinden von Claude mit einer MySQL-Datenbank" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Kaiva Bridge turns an OpenAPI spec, API docs link, database, spreadsheet or documents into a hosted MCP server. Every tool starts switched off and you choose which ones to expose. Teammates connect from Claude or ChatGPT by signing in with OAuth; your API credential is stored encrypted and never shown to the AI. Free plan: 3 servers and 200,000 tool calls a month, no card. Pricing: https://kaiv.ai/bridge/pricing Security: https://kaiv.ai/bridge/security Docs: https://kaiv.ai/bridge/docs
Run a GPU job under a hard dollar cap and collect the files it writes.
Connect Claude, ChatGPT, Cursor or any MCP client to Ybug. Read bug reports with screenshots, console logs and network requests, then triage them in chat.
Give your AI agent persistent, governed memory for every project. At task start it recalls the approved decisions, conventions, risks and architecture (semantic search, ranked by importance); at close it proposes what was learned as typed memories that you review and approve — governance, not a notes dump. Agents propose, humans govern: edits go back to pending and deletion is human-only by design. Connect Claude Code, Cursor, Claude Desktop or any MCP client in two minutes with just your API key — hosted (nothing to install) or locally via `uvx solucortex-mcp`. Built by SoluAI and dogfooded daily: SoluCortex is developed using its own living memory.
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
Create 3D device mockups, App Store screenshot sets and launch videos from your AI. Showoff.dev puts your screenshots on real iPhones, Pixels, iPads and MacBooks, sets camera and background, and exports App Store and Google Play sizes. Works with Claude, ChatGPT, Cursor, Codex and any MCP client.
Retasc is a work queue for AI coding agents. Two agents can never hold the same issue. Your Claude Code, Codex or Cursor agents pull from one queue on any machine or runtime. An agent calls `next_issue` and claims the highest effective-priority issue that is unblocked and unclaimed in one server transaction. `next_batch` hands an orchestrator issues that do not depend on each other, so a wave of subagents works them at once. Blocked work is never handed out. Rate limits, closed laptops and stalled sessions stop lease renewals. A claim expires after 30 minutes without a heartbeat or checkpoint. The reclaimer returns the issue to the queue in its owner's lane, so the same person's next agent, on any runtime, resumes from the checkpoint. A lane nobody returns to is handed back to everyone. The remote MCP server is at `https://mcp.retasc.com/mcp` over streamable HTTP. It also works with OpenCode, Gemini CLI and other MCP clients. Run `npx @retasc/cli@latest bind` in the folder to connect. The Dash shows the queue, each issue's activity, the agents and what they cost. Billing is per action, with no seats, from $0.0001 per heartbeat to $0.007 per dispatch. A new org gets $10 of usage at signup, with no card.
AI personas with a lasting, encrypted memory per project, for Claude Code. Hosted in France.
Connect Claude, ChatGPT or any MCP client to your turbopress hosting account. Ask in plain language how your website is doing, how much disk space is left, which invoices are open or when a domain expires. The answers come straight from your customer account, without logging into the panel. Beyond answering questions, the server can make changes for you: create mailboxes, renew SSL certificates and more. Your AI client asks for confirmation before any change, and you can revoke access at any ti
Remote HTTP MCP that generates verified Next.js component scaffolds with integrity stamps for Claude/Cursor agents. Connect at https://www.botkelp.com/mcp. Auth: MCP OAuth 2.1 at tools/call (or Bearer bk_live_ fallback); initialize/tools/list are open.
Publish and manage websites on HostingFor.AI: files, DNS, MySQL, SSL and site checks.
mumo is a remote MCP server for multi-model deliberation. Your agent sends a question to models from different labs — Claude, GPT, Gemini, Grok, DeepSeek, Kimi, and more — and gets back their full responses plus typed cross-model reactions. The participating models react to each other directly and explain, in their own words, what they agree with, challenge, or want to explore further. Agents can run a deliberation with `create_deliberation`, wait for results with `wait_for_round`, and steer follow-up rounds with `append_round` using structured signals like KEEP, EXPLORE, CHALLENGE, CORE, and SHIFT. Built for architecture, plan/spec review, strategy, and pre-launch pressure tests. Free tier available. API key required.
Live review times for AI app stores: ChatGPT, Claude, Muse, Grok, Cursor. Check before you submit.
Publish in seconds, get the audience, start monetization, get all analytics — without leaving your agent. Playgama MCP is a remote MCP server for game developers. Point Codex, Claude Code, Cursor or VS Code at it and your agent works inside your Playgama developer cabinet: it creates a game and fills in the form, uploads a build and polls until the engine analysis is done, uploads covers in the exact sizes the form requires, edits the in-app catalog and leaderboards, gets a QA Tool link, and publishes a sandbox — a public link anyone can play, with no moderation step. It can also bring the first players to that sandbox through Playgama DSP, with the first run per game free. 22 tools, 11 of them read-only; every write is annotated as destructive so your client asks first. Submitting to moderation, deleting and payouts are deliberately left out: the agent prepares everything, a human presses the button. Authentication is OAuth 2.1 with dynamic client registration — there is no token to copy. The client opens a browser on first use, and connected agents are listed and revocable in the cabinet. After the link is live the game takes its first players from the Playgama network, and Playgama DSP can send more the same day (beta). Once it clears the session threshold you can switch on advertising — Playgama Ad serves rewarded, interstitial and banner formats through one JS SDK (access by request). Playgama Wrap turns the same game into a standalone site on your own domain with player accounts, in-game purchases and indexable SEO pages (early access), and Playgama Bridge SDK gives one API for ads, leaderboards, payments and platform SDKs when you publish across platforms. Playtime, retention and revenue reports are in the developer dashboard, and payouts start at 100 USD. Product page: https://playgama.com/mcp/ Docs: https://wiki.playgama.com/playgama/mcp Tools reference: https://wiki.playgama.com/playgama/mcp/tools Connected agents: https://developer.playgama.com/mcp
**Can AI actually read your page?** ChatGPT, Perplexity, Claude and Google's AI Overviews fetch pages very differently from your browser — no JavaScript, tight timeouts, and a robots.txt rulebook of their own. Lekta fetches a URL exactly the way they do and grades what survives, **A+ to F**. This is the technical half of **AEO** (answer engine optimization) and **GEO** (generative engine optimization): before a model can cite you, it has to be able to fetch you, parse you, and find one sentence worth quoting. **The loop this server was built for:** `Audit https://mysite.com/pricing with Lekta, apply the fixes it lists, audit it again, and show me the difference.` Your agent gets a graded verdict, a ranked fix plan with the exact markup to paste, and a diff that proves the change landed. Repeat until A+. **Four layers, 100 points:** **Access** 25 — do the ~17 AI crawler tokens get past robots.txt? **Indexability** 25 — how much content survives without JavaScript? **Answerability** 30 — is there a single quotable sentence an engine can lift? **Recency** 20 — can a model tell when this page was last true? **What this is not:** a rank tracker. Lekta will not tell you how often ChatGPT mentions your brand. It tells you whether your page can be read and quoted when it does — the part you can actually fix. **No black box.** Every finding cites its basis — an RFC, a vendor doc, or a dated measurement we ran. The engine is versioned with a public changelog: a score never moves without a published shift table. **Tools:** `lekta_audit` (fresh fetch) · `lekta_report` (cached read) · `lekta_fix_plan` (ranked, paste-ready) · `lekta_diff` (before/after) · `lekta_my_sites` Listing tools is open. Tool calls need a free key from lekta.dev/en/panel/api — send `Authorization: Bearer lekta_…` or `x-api-key`. Cached reads, fix plans and diffs cost nothing; only fresh fetches count against the daily limit. **Topics:** AEO · GEO · AI SEO · LLM SEO · answer engine optimization · generative engine optimization · AI crawler access (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) · JavaScript-free indexability · structured data · content freshness
Official Kudosity Model Context Protocol (MCP) server that allows AI-powered editors (like Cursor and Windsurf) and assistants (like Claude Desktop) to directly explore and execute Kudosity APIs. With MCP, your AI can search API specs, generate code snippets, and run live requests; all without leaving your development environment.
Parametric 3D CAD for AI agents. Claude Code, Cursor or any MCP client can build and edit real OwlCAD projects: primitives, booleans, and generators for gears, threads and Gridfinity. Check a part for printability and interference, then export STL, 3MF, OBJ or STEP. Output is an editable model with named millimetre dimensions, not a mesh, so you can open it in the browser and change any value afterwards. Sign in with OAuth or an access token. Requires OwlCAD Pro.
Deploy JavaScript Functions and static sites, read logs, and roll back on wawesome.
Query your Postgres from ChatGPT or Claude without exposing the database or handing over credentials. Run npx boltschema connect next to your database and it dials out over HTTPS — no inbound firewall rule, no open port, works with localhost and VPC-private databases. Read-only is enforced by a SQL guard, a Postgres READ ONLY transaction, and a scoped role generated for you.
Domain security reconnaissance tools for AI agents via Model Context Protocol. 13 security tools — DNS, SSL, HTTP headers, email auth, port scan, propagation, reverse DNS, ASN/BGP, RDAP/WHOIS, subnet calc, and comprehensive security scan — callable from Claude Desktop and any MCP-compatible AI agent. Part of DechoNet. Every tool here is also a free web tool at dechonet.com — no sign-up, no API key — backed by error-fix guides. This package brings the same checks to AI agents.
