"Finding LinkedIn users by educational background" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Known MCP tool-call failures and workarounds verified by reproduction.
Coding agents in multi-service codebases routinely rebuild existing helpers, trust stale type definitions, and modify API contracts without knowing who consumes them. Carrick solves this by indexing your entire TypeScript ecosystem across service and repository boundaries. By integrating deeply with the TypeScript compiler, Carrick traces every route, type, and cross-service call while recording function behaviour so agents search by intent rather than name. Delivered via MCP for AI agents and LSP for IDEs, Carrick ensures models see existing endpoints and utilities before generating new code. The scanner is source-available and runs from your CLI or CI pipeline.
Prove end users to agents and apps: login-links, OIDC clients, and API keys over remote MCP
Search the mcp.tc directory of MCP servers from your assistant. Find servers by name, task or category, then get each one's own URL or install command, sign-in type, tools, recent tool changes and setup steps for your client. Read-only, no sign-in.
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.
Generate and lint n8n workflows, diagnose failed executions, and manage live n8n instances. Built and hosted by AutomateLab. Product and documentation: https://automatelab.tech/products/mcp/n8n-mcp/
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
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.
Magery Forge is a security-audit engine for people who ship code fast and don't have a security team. Use cases: • Pre-release security check • Weekly automated security monitoring • Agent-driven security scanning (MCP) • Clearing a shipped product of common vulnerabilities before users hit them
Publish and edit static websites on a free subdomain, just by chatting.
Micro-settled web content extraction and JSON schema validation utilities for AI agents and MCP clients, backed by the Bristlecone Logic API engine.
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
Rattlesnakes By Mail is a public record of dated, sourced claims about AI crawlers and AI agents, including GPTBot, ClaudeBot, PerplexityBot, Googlebot, and Applebot. Each claim carries a verbatim quote from vendor documentation, a publication date, and an evidence URL. Five MCP tools cover crawler lookup, user agent identification, change history since a given date, free-text question matching against published claims, and token-gated correction notes.
MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.
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.
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.
Shared memory for coding agents and their teams: project docs with semantic search, plus epics, tasks, open questions and decisions your agent reads and writes over MCP. Teammates and their agents share the same board. Deploy and permanent delete stay human-only and are enforced by the server. Free tier, no card. Setup: https://app.bilgai.com/docs/connect — API key (blg_) as Bearer or OAuth. Issues: https://github.com/volkansuner/bilg-feedback
MCP facade over the Nebelus Construction API. ~48 tools give full agent build parity: create/update/probe agents, edit graphs, attach knowledge and vector stores, wire connectors, set governance policies and locked guardrails, enable grounding-trace, and read deployment wiring. Purpose-built for regulated industries: data residency is enforced per region (EU / GCC-KSA), with PII controls and an audit trail. Agents are created as drafts — no deploy tool is exposed over MCP by design; publishing happens in the Nebelus console.
## MarketNow — Agent Skill Marketplace 🔥 ### What is it? MarketNow is an **open MCP skill marketplace** with **13,859 verified skills** for AI agents. Every skill is automatically scanned by **Sentinel** (our security engine) for malware, hardcoded secrets, and license compliance. ### MCP Endpoint
