"Understanding Requirement Analysis" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Deterministic company valuation and corporate finance tools for AI agents — IRR, NPV, MOIC, DCF, WACC, enterprise value, EV multiples, CAPM, beta and sensitivity analysis via Model Context Protocol. Useful for financial analysis, equity analysis, quantitative analysis, financial projections, financial formulas and financial modeling.
Deterministic liquidity and leverage ratio tools for AI agents — current, quick and cash ratios, defensive interval, debt-to-equity, debt-to-assets, equity multiplier and interest coverage via Model Context Protocol. Useful for corporate finance, credit analysis, financial analysis, financial formulas and financial modeling.
Deterministic profitability and market-value analysis tools for AI agents — margins, ROA, ROE, ROCE, ROIC, EPS, P/E, P/B, dividend yield and payout ratio via Model Context Protocol. Useful for corporate finance, equity analysis, financial analysis, quantitative analysis, financial formulas and financial modeling.
Deterministic time-value-of-money and fund-performance tools for AI agents — future value, present value, CAGR, annuities, perpetuities, loan payments, payback, discounted payback, DPI, RVPI and TVPI via Model Context Protocol. Useful for corporate finance, financial projections, financial analysis, quantitative analysis, financial formulas and financial modeling.
Deterministic operational-efficiency ratio tools for AI agents — asset, fixed-asset, inventory, receivables and payables turnover, days outstanding measures and cash conversion cycle via Model Context Protocol. Useful for corporate finance, financial analysis, working-capital analysis, financial formulas and financial modeling.
This tool empowers MCP-compatible clients (like Cursor and Claude Desktop) with professional-grade capabilities for financial data extraction, and report analysis.
Data Parrot brings AI revenue analysis of your HubSpot data into your AI tools.
Evidence-first AI news intelligence with deterministic tools for search, trending clusters, entities, signals and source-backed analysis.
Teardrop is the native economic layer for AI agents, providing a robust suite of tools for multi-chain portfolio tracking, DeFi yield analysis, and gas estimation. It enables autonomous agents to securely find Web3 data and manage micro-payments on-chain with zero human intervention.
Your agent needs to know where a brand or a phrase is being talked about across the web — with the trend line, the sentiment and the ratings attached. **What you can ask for** • "Where is our brand cited across the web this quarter, and is that rising?" • "What is the sentiment around this phrase?" • "How do ratings for this product distribute?" • "Which categories is this topic trending in?" • "Summarise everything published about this term." **How to use it** Point any MCP client at https://mcp.aisa.one/seo-content/mcp and sign in with OAuth — there is no key to create or paste. 10 tools: content search, summary, phrase and category trends, sentiment analysis, rating distribution, plus the filters, categories, languages and locations behind them. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Find where you are mentioned here, then ask the same agent who links to those pages — 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/seo/mcp for all of it at once — rankings, keywords, backlinks, site health and AI-answer visibility across DataForSEO, Semrush and Ahrefs.
Your agent needs the derived numbers — domain authority, what a site ranks for, related and relevant keywords, search intent, and who the real competitors are — for Google, Amazon and the app stores. **What you can ask for** • "What is this domain's authority, and how has its rank history moved?" • "Which keywords does this site rank for, and with what intent?" • "Who are this domain's organic competitors, and where do we overlap?" • "Which keywords does this Amazon product rank for?" • "Compare these two domains keyword by keyword." **How to use it** Point any MCP client at https://mcp.aisa.one/seo-labs/mcp and sign in with OAuth — there is no key to create or paste. 46 tools: ranked, related and relevant keywords, keyword ideas and intent, domain authority and rank history, competitor and intersection analysis, bulk metrics, plus the same shapes for Amazon products and Apple and Google Play apps. **Why this rather than the source** Ahrefs domain rating, Semrush rank history and DataForSEO Labs answering the same questions side by side. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Size the competitor here, then ask the same agent for their traffic mix or their contacts — 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/seo/mcp for all of it at once — rankings, keywords, backlinks, site health and AI-answer visibility across DataForSEO, Semrush and Ahrefs.
Real-time options analytics MCP server. Access gamma exposure (GEX), delta exposure (DEX), vanna exposure (VEX), dealer positioning, volatility surfaces, Black-Scholes greeks, implied volatility solver, and key options levels for any US equity — all through natural language. 14 read-only tools covering exposure metrics, volatility analysis, pricing, and market data.
CareerProof MCP gives AI agents direct access to a professional-grade career and workforce intelligence platform. Two namespaces: atlas_* for HR/TA teams (candidate evaluation, batch shortlisting, competency scoring, interview generation, JD analysis, custom eval frameworks, research reports) and ceevee_* for professionals (CV optimization, career positioning, salary intelligence, market reports). Backed by RAG knowledge from 50+ premium research sources (McKinsey, BCG, HBR, Gartner, WEF)
Per-transaction crypto trade validator for AI agents. Returns deterministic PROCEED / CAUTION / BLOCK verdicts using WaveGuard anomaly detection, history checks, and rug-pull risk analysis.
Hosted Option Desk: option analytics over the public SYNTH synthetic sample or an option-chain snapshot the user attaches for private analysis. Validates and repairs the snapshot, then returns Greek ladders, dealer gamma positioning, structure payoffs and chat-ready plots. No live market data, no orders. Research output, not investment advice.
AgentBridge is the only MCP server that gives AI agents access to structured China knowledge assets—university reports, industry briefings, policy analysis, and real-time web content—through x402 micropayments on Base. Everything is machine-readable, pay-per-use, and settled in USDC.
Analyze Product performance on Platforms like youtube, instagram etc. To optimize Marketing.
Social media analytics, video analysis, and competitor intel for any MCP-compatible AI agent.
Wash-filtered intelligence layer for x402 — read-only access to category stats, service details, wash analysis aggregate, service search, and 24h trends.
MCP server for the CrawlGraph backlink-intelligence API. Gives any MCP client - Claude Desktop, Claude Code, Cursor, Cline, Zed, Windsurf - backlink lookups and competitor gap analysis built on the public Common Crawl webgraph (4.4B edges, 120M domains).
