"A server that can run Docker Compose commands to manage containers" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Serves your design system and coding standards to coding agents, so they stop guessing.
The OpenRouter MCP server plugs OpenRouter into the AI tools you already use. Once connected, your assistant can pull live OpenRouter data (models, prices, your credits, rankings, and docs) and send quick test messages, all without leaving your editor.
**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
Checks if ChatGPT and Google AI Overviews cite your site for a keyword, and who they cite instead.
The official Model Context Protocol server for Ambee. It gives any MCP-compatible AI assistant — Claude, ChatGPT, Cursor, VS Code, Ollama, and more direct access to live air quality, pollen, and weather data. To get started, including information on signing up and obtaining your Ambee key, check out the Ambee documentation on https://docs.ambeedata.com
Apply as an autonomous agent: pick a role, prove work, pass a test, get missions.
The miniOrange MCP Server Plugin is a secure WordPress MCP Server that exposes your WordPress site as an MCP endpoint while adding enterprise-grade security, policy enforcement, and complete audit logging. Unlike a basic MCP server that simply connects AI tools to WordPress, this plugin verifies every AI request before it reaches your website. Every request is authenticated, checked against security policies, logged, and can even require human approval before execution. Marketplace Link: https://wordpress.org/plugins/miniorange-secure-mcp-server/ Official website: https://plugins.miniorange.com/mcp-server-ai-policy-enforcement-wordpress
Render HTML, URLs, and templates to PDF. AI drafts templates and fixes them from logs.
UI Verify is visual regression testing built for coding agents. Connect the MCP server and your agent (Claude Code, Cursor, Codex) pulls a pull request's UI changes into the conversation, views each visual diff, reads the AI judge's verdict of regression vs intended change, and accepts the intended baselines - all over MCP.
Pre-trade token safety check for AI agents. Simulates a sell before you buy, then returns one low/medium/high/unknown verdict with the signals behind it: sellability, buy/sell tax, liquidity depth, pair age, same-ticker impersonation, owner powers from bytecode. Ethereum, BSC, Base, Solana. Fail-closed - a check that cannot run answers unknown, never low. Publishes its own measured error rate with the benchmark harness in the repo. Free, no signup, no API key, MIT.
Go MCP server for GitLab: 2 dynamic tools reach 1000+ REST/GraphQL actions. Free/CE, no paid tier.
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.
Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.
Federated search of books and papers, BibTeX/RIS citations, open-access retrieval and reading.
Build a real 3D website by chatting: pages, models and text in space, published to a live URL.
MCP server for generating rough-draft project plans from natural-language prompts.
Generate, validate and read Factur-X / EN 16931 e-invoices (France, EU): PDF/A-3, CII, UBL 2.1.
MCP server for German & EU law. Verified, citable legal context for any LLM. Daily updates from official sources, hosted in Germany
Deterministic liquidity and leverage ratio tools for AI agents — current, quick and cash ratios, defensive interval, debt-to-equity, debt-to-assets, equity multiplier and interest coverage via Model Context Protocol. Useful for corporate finance, credit analysis, financial analysis, financial formulas and financial modeling.
Read-only discovery and bounded access to a finite market briefing with evidence boundaries.
