"Troubleshooting JavaScript Code" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Brazilian foreign trade, crop and commodity data as a remote MCP server. Exports and imports from MDIC/ComexStat since 2000, by HS code (SH4/SH6/NCM) and partner country, in USD FOB and kilograms — plus crop production, supply-and-demand balances, climate readings and production forecasts for hubs such as soybean, coffee, corn, beef and cocoa. Every comparison is like-for-like: two windows of equal length, each labelled with the period it actually measures, and every answer names its window and its source. 15 read-only tools, metered in credits. Nothing to install: Streamable HTTP at https://mcp.kyrodata.com/mcp with a bearer key or OAuth 2.1 (PKCE). Official registry: com.kyrodata/kyrodata.
Read any page after its JavaScript runs: Markdown, screenshots, metadata, console errors and Lighthouse audits.
Code mode (preview): the AI writes a script against a typed foundry.* API and runs it in a sandbox.
btlabs Core MCP endpoint: site content and brand data for AI agents. OAuth or API key.
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
The PostNitro MCP server lets AI assistants and agents — Claude (Desktop, Code, and Cowork), Cursor, ChatGPT, and any other Model Context Protocol client — create carousels, image posts, and videos, manage brand kits, audio tracks, and connected social accounts, and schedule posts directly. Instead of writing REST API calls, you connect the server once and your AI assistant gets ready-made tools covering carousel, image, and video generation, brands, audio, social accounts, and scheduling.
AgentiSend is a transactional email API: send through verified domains with a message log, budgets, a preflight and refusals that name the fix; built so AI agents can send on your behalf. The hosted MCP server at https://api.agentisend.com/mcp exposes 82 tools (44 on tools/list; the rest via list_more_tools). A send is one message or a batch of up to 500 items with per-item results. preflight_email runs every gate a real send runs, sends nothing, and costs nothing. Every 4xx returns code, message, and fix. There is no tool for unsolicited mail. Auth is a bearer API key or OAuth 2.1 with dynamic client registration. Starter prompts: "Send this receipt to the customer." "Preflight this send and tell me what would stop it." "What can I spend today?"
**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
Marketplace of code templates: buy, sell and manage orders in USDC with on-chain escrow
CodeSentinel — AI-powered codebase health agent
Manage a store locator by chatting: locations, tags, booking buttons, map styling, embed code.
Open scientific and engineering knowledge for AI agents: search, evidence, document publishing.
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
Onymu is an MCP server for domain name search, domain availability checking, and social media username lookup. Check a domain name against hundreds of TLDs in one call, including .com, .io, .ai, .co, and country-code extensions. Generate brandable startup names, business names, and product names from a keyword, and instantly see which ones are still available to register. Check username availability across major social networks so a brand name comes with matching handles. Save domains, set favorite TLDs, and recall recent searches to keep name research organized across sessions.
Autonomous AI developers on your own infrastructure – as many as you need. Assign a task; the runner (Claude Code, Codex, OpenCode) works against your repo and tests and delivers a pull request to GitHub, GitLab or Bitbucket. Any model, your data stays with you.
Memwyre is an MCP-native persistent memory layer for AI agents, synchronizing context across Claude Code, Cursor, VS Code, and OpenClaw. Built with a high-precision retrieval architecture (dense vector search, BM25, and cross-encoder reranking), Memwyre achieves a benchmarked 73.1% accuracy on the Long-Context Memory (LoCoMo) benchmark. It provides secure, isolated knowledge vaults with dedicated tools (search_memwyre, save_memory, list_memories) to save and recall structured project decisions.
