"Building Agentic AI Solutions" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Hosted AI agent memory that learns from outcomes, with shared rooms, in Claude, Cursor and ChatGPT.
Portable AI memory you own. Keep memories and notes across Claude, ChatGPT, and other AI tools.
Auto-Apply That Ends on an Interview. Job matches, applications sent on the employer's own hiring system, employer-receipt tracking, per-role resumes, cover letters, interview prep.
Credit card payoff, mortgages, refinancing, 401(k), rent vs buy. Every rule and default is cited.
Production MCP server for US equity and options intelligence: real-time IV radar, Monte Carlo simulation, options pressure, strategy backtesting, AI prediction, pre-trade risk analysis, and automated stock research reports.
Manage products, EU Digital Product Passports, operator parties, and GS1 EPCIS supply-chain events.
Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.
Read-only Dutch vehicle knowledge, comparisons, terminology and cited sources for AI clients.
Swiss commercial-register intelligence: Zefix/SHAB companies and publications with AI lead scoring.
Real-time Booking.com rates for agents. Three things people do with this server. Scan for rate gaps: price_as_seen_from prices the same room from another market, so an agent can sample a property across countries and compare. Put live search in your app: search a destination or look a property up by name, no internal IDs, room-level rates as flat JSON. Run a 24/7 AI travel agent: add the server, sign in with Google, and schedule it. No ads, no sponsored content. You bring your own RapidAPI key, so every search is billed to your plan and never to anyone else's. Add https://hotels.flightpowers.com/mcp , click Sign in, sign in with Google, and paste your RapidAPI key once on the page that opens. Scripts and clients without a sign-in button send the key as x-rapidapi-key on the same URL.
Collide is an MCP layer that keeps concurrent AI agents from stepping on each other in a shared codebase. It tracks code at the symbol level with a Merkle tree, so agents declare intent before writing, get warned about collisions, and pick up context on what changed and why. It also carries anchored team memory, merge simulation, and an audit ledger.
Durable identity and memory for AI agents, anchored on the Emercoin blockchain.
Sights, events, opening hours, weather and tides; nearby sharing as currently reported.
Personal-finance workspace for AI agents: accounts, spending, budgets, goals, and investments.
Plan last-mile deliveries from your AI assistant. Turns orders from spreadsheets, URLs, or pasted text into optimized delivery routes. It geocodes addresses, flags locations that need confirmation, and assigns stops across your fleet while respecting vehicle capacity, delivery time windows, and stop limits. Manage vehicles and depots, review route maps, and plan anything from a small delivery run to thousands of stops. Connect with your Vepathos account using OAuth.
Build, run, schedule, and publish AI video pipelines to YouTube and TikTok from any MCP client.
Coding agents in multi-service codebases routinely rebuild existing helpers, trust stale type definitions, and modify API contracts without knowing who consumes them. Carrick solves this by indexing your entire TypeScript ecosystem across service and repository boundaries. By integrating deeply with the TypeScript compiler, Carrick traces every route, type, and cross-service call while recording function behaviour so agents search by intent rather than name. Delivered via MCP for AI agents and LSP for IDEs, Carrick ensures models see existing endpoints and utilities before generating new code. The scanner is source-available and runs from your CLI or CI pipeline.
Secure P2P File Transfer, Encrypted Chat & Communication | Decentralized P2P & AES-256-GCM encryption | Zero cloud logs. Zero registration. For humans and autonomous AI agents / MCP servers.
RegEvidenceHub Sponsor: UK Skilled Worker sponsor-change preflight with GOV.UK evidence.
Podcast post-production for an AI agent: transcribe a recording, cut fillers and pauses, clean up the voice, add licensed music that ducks under speech, set chapters and export a finished episode.
