"How to convert a PDF file into Markdown format" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
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.
Read-only discovery and bounded access to a finite market briefing with evidence boundaries.
Find competitors, trace how they grew, watch what they ship — plus your Search Console.
AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client. To connect, you'll need an AMZScout API plan and authorize your account. Get access and view pricing here: https://learn.amzscout.net/amazon-product-api-for-ai-agents
Spain's contributions to world science, exploration and culture, rigorously sourced
Search and inspect signed scientific claims, methods, observations, artifacts, provenance, contradictions, retractions, and reproducible admission receipts from a shared memory for AI agents.
Get access to real-time and historical news data including top headlines from global sources
Realtime financial context for AI agents: what changed, why it matters, and who is affected. Output is context-efficient for AI agents, with sources and evidence on every result. Market news is filtered for novelty so you can tell new information from stories the market already has. Developments are compact packages covering what happened, which public companies are exposed, and the evidence, clustered into events you can follow. Official outlooks are structured as they are published so you can compare guidance across companies, read revision history, filter by fiscal period, and check outlooks against reported results. Wording changes in earnings releases are structured and queryable. Any of these can be turned into an alert that delivers new results by email, Telegram, or webhook. Ultralayer does not provide financial advice. Skills at https://github.com/UltralayerHQ/ultralayer-plugin/tree/main/skills
Cited, filing-grounded equity research an agent buys per call over x402 — no account, no API key. Graded quarterly cards, quantitative and qualitative, across hundreds of tickers and growing; WACC builds for a growing list of companies; live 10-Q highlights for any US filer. Call one complete card free before you pay anything.
Paste-your-data analytics: CSV profiling, A/B tests, correlation, growth. 4 of 7 free.
CLSTR reads 100,000+ articles a day from 40,000+ sources in 170+ countries and deduplicates them into single events, then links related events into ongoing situations with a maintained summary and a full timeline. An agent can answer what has happened over the last six weeks, not just what a single headline says right now.
Total-return data for every US mutual fund and ETF — ~32,000 funds — handed straight to your AI assistant. No fact-sheet scraping, no brokerage API.
Check how much real depth Armasourcing's vetted Filipino virtual assistant pool has for a specific role, skills and timezone, and understand how hiring and engagement work. Returns aggregate pool statistics only, no candidate names, no profiles, and no pricing, and ends in a free discovery call booking.
Agent-facing lodging decision tool. Non-sensitive categories only. Alpha, unauthenticated.
Open AI Visibility Index for crypto and Web3. Weekly share-of-answer measurements for 24 tracked brands across ChatGPT, Perplexity and Gemini, from a frozen versioned prompt panel. Five read-only tools: full index, per-brand lookup, brand list, complete measurement history and methodology. No auth, no API key. Data is CC BY 4.0 with a permanent archive of every weekly snapshot, so any figure can be verified independently.
Open AI Visibility Index for SaaS and AI tools. Weekly share-of-answer measurements for 20 tracked brands across ChatGPT, Perplexity and Gemini, from a frozen versioned prompt panel. Five read-only tools: full index, per-brand lookup, brand list, complete measurement history and methodology. No auth, no API key. Data is CC BY 4.0 with a permanent archive of every weekly snapshot, so any figure can be verified independently.
Connect Claude or any MCP client to Thread Otter, a GTM agent for founders. Free tools with no key: find_buyer_threads (give it a website URL and get recent Reddit threads where that product's buyers are asking for it, report in ~3 minutes), reddit_demand_board (weekly demand across 40 communities with thread receipts), and subreddit_rules (promotion posture for 2,000+ profiled subreddits). With an API key: read your buying-intent mentions across Reddit, X, LinkedIn, and Bluesky, check your pipeline, and propose posts and reply drafts in your voice. Propose-only by design: nothing sends without your approval flow. Keys at threadotter.com/connect.
Australian AI governance framework mapped to the Privacy Act and sector laws your AI use triggers.
Official MCP: continuous supply-chain risk monitoring and early warning, not a one-off report. Register and create a key at https://supplygraph.ai/zk_chat_os/dashboard/dashboard.html — if you are not signed in you will be redirected to login; new users can register there. After login, open A2A / MCP and click Create Production Key or Create Sandbox Key. Send the header as Bearer <api_key> (one Bearer prefix, then the raw key). Optional for initialize and tools/list; required for tools/call.
Unstructured document processing for LLM pipelines. Upload as PDF/DOCX/TXT any supported files, extract structured data (PII-redacted), build LLM-ready datasets, and search/export results — all via MCP tools (document.process, job.status, job.result, dataset.build, dataset.search, dataset.export).
