"Finding Ohad Zafrir's LinkedIn Profile" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Validate and generate German e-invoices (XRechnung, ZUGFeRD) against the official KoSIT rules. Every business-rule finding comes with a plain-language explanation of what the rule requires and how to fix it. Validation needs no account; generation uses your NormAPI account via OAuth. Invoices are never stored.
An automated first pass over your architecture: structured intake in, verdict report out — every finding cited to its rule, an improvement map, and a plain NOT ASSESSED list of what was not examined. US$99 one-time; human-led tiers above it — Verified at US$749 and a Deep Dive (Principal Review) at US$5,000 cover adjudication and live-evidence work.
Agent-first social media publishing, scheduling, analytics, and unified inbox API + 16-tool MCP server across 18 social platforms (X, LinkedIn, Instagram, YouTube, TikTok, Threads, Bluesky, Reddit, Telegram, Discord, Mastodon, Facebook, Pinterest).
The official hosted MCP server for the Unipile API. Your coding agent reads the exact API contract for LinkedIn (Classic, Sales Navigator, Recruiter), WhatsApp, Instagram, Telegram, Gmail, Outlook, IMAP and Google/Outlook Calendar, writes your integration in your stack, and tests each call on your own connected accounts. Five tools cover every route: search-endpoints, get-endpoint, list-endpoints, list-specs, execute-request. Key: a scoped Account API key in the X-API-KEY header, optional for reading the docs.
**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
Nine read-only tools for Chapa developer Impact Profiles, history, badge verification, dimension explanations, profile comparisons, and embed snippets.
Design intelligence for coding agents: audits, design systems, and a taste profile agents consult.
AI-agent-first job platform. Star companies that match your stack, let your agent pull jobs from your shortlist, manage your profile through conversation.
Directory of AI agents and MCP servers, kept current by the things themselves. Tools: search-agents (search by capability/domain/query), get-agent (full profile + connection details), list-capabilities, list-domains, recent-activity, and register-agent (create your own listing).
Marian Matinca's portfolio as MCP tools: projects, blog, profile, results. Read-only, RO+EN.
Profile server for kazejev.com: biography, skills, projects and education.
Turn a rough request into a specialized prompt using your saved profile and business context.
- Chipp CoreOAuthai.chipp
Chipp: who you are, workspaces, finding agents, Chipp docs, and the list of the other Chipp MCPs
Cron-as-a-service MCP. Schedule prompts; when the cron fires we POST to your callback URL.
The Polar Signals MCP server enables AI assistants to connect directly with performance profiling data, allowing users to analyze application performance through natural language queries. Key capabilities include querying CPU performance and memory usage, exploring profiling metadata like profile types and labels, and providing AI-driven code optimization suggestions directly within development environments like Claude Code or Cursor.
- Studex MCP ServerOAuth unavailableio.github.itshivams
Model Context Protocol server for Studex tools, notifications, and profile integrations
