"Stack Overflow" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Backend platform for AI agents: one agentstack.execute tool runs batched steps over +700 actions (hosting, storage, auth, payments, CRM, app builder).
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.
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.
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.
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.
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.
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.
55 tools for Indian stock markets — NSE & BSE quotes, screener, filings, FII/DII, options
AI stock intelligence: prices, fundamentals, technicals, news, macro regime, and sector signals.
Search Stack Exchange questions, fetch Q&A threads as markdown, look up tag FAQs and user profiles.
Local business intel for AI agents: audits, lead scoring, tech stack, prospecting.
Squatch Stack: a shop that opens in the chat, essays, and requests to the studio. No sign-in.
Cancel or cut any subscription: exit steps, cheaper plans, alternatives and the cheapest stack.
Give your agent live data from Twitter, Reddit, the web and GitHub. No API keys, no scraping stack.
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.
Read-only AI project discovery, verification, comparison, shortlisting, and stack planning.
40+ production-ready SwiftUI recipes for building full-stack iOS apps via MCP.
