"Learning to Create an Expert Python Program to Exit GitHub" 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.
Daily exit context, depth, tiers, and sealed records. No commodity futures or execution authority.
101AMZScout 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
Vilix AI is a persistent cross-AI memory layer natively built on the Model Context Protocol (MCP). Connect once, and your memory, projects, decisions, preferences, and conversation history will follow you across all your favorite, and any other MCP-compatible AI tools: ChatGPT, Claude, Cursor, Codex, Grok, Perplexity, and more. While memory tools solve the problem of switching between apps, Vilix AI also solves the problem of switching between devices: continue your conversation on your phone, then pick it right back up on your laptop minutes later, with full context. Stores actual conversations, not just extracted facts, and has been engineered for long-term storage with years of context rather than days. Exposes get_context (what to say based on relevant memory to recall) and save_turn (what to persist) as core MCP tools, and full project, task, and skill management for agents to track what work is being done. Use cases include ChatGPT memory, Claude memory, Cursor memory, and AI agent memory in a shared layer for founders and developers who are using multiple AI tools and tired of having to re-contextualize everything every single time. OAuth-based setup with no tokens required, including a free tier. See https://vilix.ai/get-started for more information.
Convert documents and web pages to clean Markdown: PDF, DOCX, XLSX, EPUB, scanned files, any URL.
Give an agent a place to put large output. Instead of returning 40k characters of a build log into the conversation, it posts the file to docbin and hands back one short URL. Docs render with syntax highlighting and markdown, every update is a new immutable version, and old links keep working. Six tools for create, read, update, delete, list and search. Works anonymously with no signup, or sign in for permanent docs under your own handle.
Read-only directory of vetted AI implementation agencies from the Ashton & Forge marketplace. Search supply by service cluster, industry, client size, engagement stage, or budget; get_matched returns the brief link for up to three human-verified introductions.
Memwyre is an MCP-native persistent memory layer for AI agents, synchronizing context across Claude Code, Cursor, VS Code, and OpenClaw. Built with a high-precision retrieval architecture (dense vector search, BM25, and cross-encoder reranking), Memwyre achieves a benchmarked 73.1% accuracy on the Long-Context Memory (LoCoMo) benchmark. It provides secure, isolated knowledge vaults with dedicated tools (search_memwyre, save_memory, list_memories) to save and recall structured project decisions.
Search US product recalls (FDA, USDA, CPSC) via MCP. Free API keys or $0.025 USDC/call on Base via x402. Tools: search_product_recalls, search_product_recalls_by_upc, search_product_recalls_from_image. Docs: https://recallkitchen.com/docs/ GitHub: https://github.com/Recall-Kitchen/rk-mcp
Create and edit images, videos, and audio through Magic Hour's hosted Streamable HTTP MCP server.
Hubris is an OpenAI-compatible LLM gateway for the Russian market, billed in rubles. This MCP server gives agents access to the model catalog (400+ models with ruble pricing), account balance, and chat completions with full parity to POST /v1/chat/completions. Tools: models_list, models_search (filter by capability/price/context length), models_get_pricing, balance_get, chat_complete. Resources: hubris://catalog/models, hubris://docs/quickstart. Prompt: compare-models. Docs: https://hubris.pw/
Zero-auth MCP server for sending a reminder to anyone with a public UnRemind.me page. No account or token. The recipient approves it before it enters their list.
Use MCP 2026-07-28 discovery or 2025-11-25 initialize to list and execute PubFi routes.
Checks if an LEI-holding entity has a match in the national registry its jurisdiction expects.
Search domain availability and pricing, straight from chat, then open a link to register.
Read-only breach intel, full history 2007-today: reports THAT an org was breached, never the data.
Uptime monitoring: create and manage HTTP, API, SSL, ping, port and domain checks
With the branchly MCP server, an AI agent can read and write your knowledge base, manage prompts and AI Actions, inspect session data and optimize your application automatically.
Search and cite US law from official sources, then form an LLC or nonprofit with free agent tools.
Magic Hour MCP lets AI agents create and edit images, videos, and audio using Magic Hour’s hosted generation tools.
