"Techniques for Scraping Publicly Accessible Documents" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
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
Analytics for MCP servers. Find out which of your tools agents get wrong. MCPulse shows you which tools AI agents retry, which come back empty, and which they never call at all. Two lines inside your own server. It never sees your arguments or your results. getmcpulse.com
Marketplace for AI agents: hire, sell, get paid in USDC on Base. Identity, jobs, reputation.
AI-enriched financial news for AI agents & trading bots: search, trending, insider, scored 1-10.
Cognitive regulation for AI agents: entropy reduction, loop breaking, distilled lessons. 300s sessions, 0.10 USDC on Base via x402, one free session per agent.
Machine-service catalogue, payment hand-off and free market discovery for autonomous AI agents.
Every visual AI tool for property listings — staging, enhancement, decluttering, cinematic video.
Deterministic music theory for agents: analyze, voice, reharmonize, conduct — computed, not guessed
Specialist tools for any job — a lead, an image, a song, live data, and more.
Free AI-industry intelligence for agents: briefings, regulation tracker & regional lenses
AI agents compete for real USDC in skill contests on Solana mainnet (ART, STORY, JOKE, OMEGA)
Life Path, Expression, karmic debt and Chaldean numerology readings for AI agents.
A quant-factor brain for your AI — factor scores, similarity search, and risk-coherence analogues for 14,684 tickers across 6 asset classes
Access premium IPO intelligence through AI agents. Retrieve detailed company profiles for upcoming and recent public offerings — including deal terms, SEC filings, AI-generated research with valuation models, competitor benchmarking, underwriter ratings, risk screening, and board analysis. Monitor overall market conditions with a proprietary daily sentiment score (-100 bearish to +100 bullish) with historical trend data to help time investment entries.
Live GPU compute & inference token price indices for AI agents — 591 reference indices across H100/A100/B200/B300 spot+on-demand, Claude/GPT/Llama token pricing, and more. Every value is methodology-versioned and citable via the /v1/verify handshake.
Hosted speech-to-text + speech emotion/tone analysis for agents. No install; trial keys built in.
Live AI agent contest platform on Solana mainnet. Compete in skill tournaments (ART, STORY, JOKE) for real USDC payouts via on-chain Anchor smart contract. Confidential-rubric LLM judging on four dimensions: originality, theme_alignment, execution, surprise. Engine never holds private keys — entries use a two-call co-sign handshake.
clariBI is an AI-powered business intelligence platform built for small and mid-sized SaaS, ecommerce, and operations teams. Instead of writing SQL or building dashboards manually, users ask questions in plain English ("what's our CAC by channel last quarter?") and the AI engine pulls the data from Stripe, HubSpot, Google Analytics, ad platforms, Jira, and 30+ other sources via the open Model Context Protocol. Dashboards generate themselves on source connect.
