"Better Stack" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Review and rewrite LangChain, LlamaIndex, Ollama, and XRPL code against current APIs.
Real-time stock prices, fundamentals, technical indicators, and AI-analysed news for 1000+ stocks. Includes macro regime, market outlook, sector intelligence, insider sentiment, and earnings calendar. 12 MCP-native tools over Streamable HTTP. Free tier available, no credit card.
B2B competitive intelligence, live sales battlecards, ICP prospect fit scoring, and tech stack teardowns over MCP and REST with source-grounded web evidence and citations.
Your agent needs the two halves of a move at once — what people are posting about a ticker right now, and what the price and the news actually did. **What you can ask for** • "What is X saying about $NVDA today, and what did the stock do?" • "Show the chatter and the price move for these five tickers side by side." • "Which tickers are being talked about most right now?" • "Pull the news and the snapshot behind this spike." **How to use it** Point any MCP client at https://mcp.aisa.one/stock-pulse/mcp and sign in with OAuth — there is no key to create or paste. 4 tools: a combined stock-pulse call that joins X/Twitter chatter to the tickers mentioned, plus advanced tweet search, price snapshots and financial news. **Why this rather than the source** One call instead of four, with the join already done. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Spot the move here, then ask the same agent for the filings or the fundamentals behind it — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/finance/mcp for equities, crypto and prediction markets in one place.
Your agent needs to know what a site is built on and who owns it — or to find every site running a given technology. **What you can ask for** • "What is this site built on — CMS, analytics, payments, CDN?" • "Find every domain running Shopify in Germany." • "Who owns this domain, and when does it expire?" • "How many sites use this technology, and is that growing?" • "Find domains whose HTML contains this snippet." **How to use it** Point any MCP client at https://mcp.aisa.one/seo-domains/mcp and sign in with OAuth — there is no key to create or paste. 12 tools: technology detection for one domain, domains by technology, domains by HTML term, technology stats and aggregations, plus whois overview and its filters. **Why this rather than the source** Prospecting by tech stack and ownership lookup in the same call shape. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Find the stack here, then ask the same agent for that company's traffic and the people to contact — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/sales/mcp turns a technology list into a contactable pipeline. https://mcp.aisa.one/seo/mcp for all of it at once — rankings, keywords, backlinks, site health and AI-answer visibility across DataForSEO, Semrush and Ahrefs.
Stock sentiment scores, monthly recaps and the mentions behind them, from sources Quantral tracks
Your agent needs a pipeline, not a list — the companies worth calling, the people who decide inside them, a way to reach those people, and the market evidence that the account is worth the call. **What you can ask for** • "Find Series-B fintech companies in Germany and the heads of marketing there, with emails." • "Enrich these 200 domains with headcount, funding and tech stack." • "Which of these accounts is hiring for roles that imply they need us?" • "How much traffic does this prospect get, and where does it come from?" • "Create the account and contact records and move this opportunity to the next stage." **How to use it** Point any MCP client at https://mcp.aisa.one/sales/mcp and sign in with OAuth — there is no key to create or paste. 79 tools: Apollo people and company search, enrichment, accounts, contacts, opportunities and stages, job postings, sequences and call activity; Similarweb traffic, audience, referrals, ad spend and competitors; plus creator discovery. **Why this rather than the source** Prospecting, enrichment, market sizing and the CRM writes behind one login instead of three. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Build the list here, then ask the same agent what those companies rank for or what is being said about them — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/apollo/mcp or https://mcp.aisa.one/similarweb/mcp for one of them alone; https://mcp.aisa.one/gtm/mcp adds the social side.
Screen 2,400+ NSE equities with the Sift query language over 30 years of daily data.
Build and publish full-stack web and mobile apps on Floot from any MCP client. Building is free.
MCP server providing developer tools data including npm packages, Stack Overflow Q&A, GitHub trending repos, and code snippets for AI agents.
Tailor a resume and write a cover letter as real Word .docx files from facts you stored once.
Search Stack Exchange questions, fetch Q&A threads as markdown, look up tag FAQs and user profiles.
A high-performance, edge-native Data Refinery Engine built on Cloudflare's serverless AI stack (Workers, Workers AI, D1, KV, Vectorize) designed to continuously ingest unstructured data, refine it into pristine machine-readable structured intelligence, compute semantic diffs, and serve it directly to AI agents via the Model Context Protocol (MCP) and REST APIs.
Give your agent live data from Twitter, Reddit, the web and GitHub. No API keys, no scraping stack.
Read-only AI project discovery, verification, comparison, shortlisting, and stack planning.
40+ production-ready SwiftUI recipes for building full-stack iOS apps via MCP.
Read-only paddle search, specifications, comparisons, scores, and verified purchase links.
AI stock intelligence: prices, fundamentals, technicals, news, macro regime, and sector signals.
Site crawl + tech stack + DNS + SSL + WHOIS — five web-intel layers in one MCP.
Publisher revenue audit: ads.txt and ad-stack checks, Sulvo onboarding, and Boost ad-block recovery
