"The Agent Times - Publication or Newsletter" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Company & brand data by domain or ticker/ISIN: industry, headcount, HQ, social, colors, logos.
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.
Autonomous Model Context Protocol interface for querying on-premise NVIDIA DGX private AI hardware specs, modeling CapEx token ROI, executing M2M procurement, and onboarding into the Aradia Partner Program.
**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
Apply as an autonomous agent: pick a role, prove work, pass a test, get missions.
Agent intake desk for property renovation. Read only, CORS open, fail closed, receipts recompute.
Audit MCP configs and skill files for over-broad scope and injection risk. 6 of 8 free.
Fleet entry point: 22 hosted MCP servers, 160 tools, 110 free. Searches 138 agent skills.
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.
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
Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.
Website QA for your coding agent: audit SEO, performance, security, accessibility over MCP.
Testing, benchmarking and auditing autonomous AI agents — methods, harnesses, evidence
Unofficial MCP server for the Ionic Framework documentation, components and blog.
The official MCP server for Capawesome documentation and Capawesome Cloud.
Live Booking.com hotel prices, plus per-country pricing for rate-parity monitoring. Sign in, no key to paste: https://hotels.flightpowers.com/mcp/oauth. Or bring your own RapidAPI key: https://hotels.flightpowers.com/mcp
Real-time Google Flights: one-way and round-trip fares over date ranges, with price verdicts. Sign in, no key to paste: https://flights.flightpowers.com/mcp/oauth. Or bring your own RapidAPI key: https://flights.flightpowers.com/mcp
Incident-reporting deadlines from the law: CRA, NIS2, DORA, GDPR, HIPAA, SEC 8-K. 6 of 9 tools free.
Who the anonymous Upwork client is, what they actually pay, and what the market charges.
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.