"YAPI API Documentation Integration Guide" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Live USPS, UPS, FedEx and DHL rates from the US: domestic, Canada, UK, Germany, Australia. No scale.
Catch AI-fabricated citations (real DOI + fake title). Retraction, open-access, 10,000+ CSL styles.
Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.
Neutral freight reference + validation layer for AI agents: ADR, HS, UN/LOCODE, freight math
The Brain Layer for AI Trading Agents — quant calls + cross-venue arb across perp venues via MCP.
Price benchmarks, alternatives & daily price history across 17,000+ AI agents and MCP servers.
Daily exit context, depth, tiers, and sealed records. No commodity futures or execution authority.
101Shared private memory layer for AI agents. Write context once, carry it across Claude, ChatGPT, Grok, Cursor, Replit, Bolt, Lovable, Devin, v0 and more. Supports reusable SKILL.md bundles for agent skills discovery. OAuth 2.1 + API key auth.
Free, open MCP server for The Urantia Papers. 197 papers, 14,500+ paragraphs, 4,400+ entities.
Generate AI images and videos from any compatible MCP client.
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.
Cook County / Chicago property by address or PIN: sales, permits, assessments, comps. 25 free/day.
DXF and PDF/X-4 for AI agents: structured facts, PNG renders, an interactive in-chat viewer.
Form backend an agent runs end to end: provision forms, snippets, spam, signed webhooks.
Verified GPU compute for Blender rendering with signed receipts and proof.
Ask your AI assistant about your own website's SEO and get answers from your real data, not generic advice. One connector, all your channels: Google Search Console (rankings, clicks, indexing), Google Analytics (traffic and sources), Google Ads (campaigns and search terms), Google Business Profile (local visibility and reviews), Google Trends, keyword research, backlinks and link prospects, competitor rankings, site crawls, and AI visibility (does ChatGPT mention your site?). Ask things like: which keywords am I one push away from page 1 for? Why did traffic drop last month? Which competitor is outranking me, and where? Are my ads and SEO fighting over the same keywords? Then let it act. On a paid plan, your assistant can prepare SEO fixes, content campaigns, and article drafts. Nothing touches your site until you approve it in SEOmatic, and every change shows before-and-after results. Connect via OAuth: log in, pick your site, done. No API key needed.
Free bank research: NPA reconciliation, small finance banks, UCBs and cited evidence limits.
211Helena Bioinformatics MCP for clinical variant interpretation, ACMG/AMP evidence and literature.
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
