"Exploring Applications of AutoGen Technologies" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Pay-per-use APIs for agents: web research, data lookups, and metered endpoints billed to credits.
SimFuse is a travel eSIM storefront covering 200+ countries and regions. This connector lets an AI assistant plan a trip, compare live prices and open a checkout for eSIM data. Browsing needs no authentication. What it does: - plan-trip: give the stops (country code and days in each) and it compares one plan covering the whole route against one plan per country against a mix, on live prices, then flags the cheapest complete option and lists any country it cannot cover. - list-destinations: search every country and region SimFuse sells for, with the cheapest plan price per destination. - list-plans and get-plan: browse a destination's plan ladder, filter by data amount, validity and price, and inspect a single plan in detail. - get-plan-coverage: check every country a plan works in before buying. - create-checkout-session: open a checkout for the selected plans at frozen prices. Nothing is charged by that call; payment, completion and cancellation happen over the agentic HTTP API with the returned key. Good to know: prices come back in minor units of the currency you ask for, data allowances are in megabytes, and quotes are offers rather than reservations, so the charged total is computed at checkout. Operated by Qorinx OÜ. Buy directly at https://simfuse.app, agent documentation at https://simfuse.app/agent/.
Machine-exclusive web distillation MCP server for AI agents. Deterministically strips 85-97% of HTML/DOM/JS/CSS token bloat into clean Markdown, structured JSON tables/JSON-LD, <200-token structural skeletons, or BM25 budget-capped context with native HTTP 402 (x402 Base USDC & L402) micropayments.
Free directory of MCP servers and x402 APIs for AI agents. Find them, or list your own in one call.
Strips 85-97% of HTML/DOM bloat into clean Markdown or JSON with cryptographic ROI proof.
Enhanciar is a company brain for engineering teams. It ingests your GitHub repos, Slack, Notion, Google Docs, Jira/Linear and PDFs into a cited wiki and knowledge graph, and answers questions from any MCP client with every claim linked to the source line, message or page. Tools: query (cited Q&A), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (blast radius of changing a file or function), list_repos, list_skills/get_skill, propose_action/list_proposed_actions (draft Jira/Linear/Slack/calendar actions for human approval). BYOK — bring your own model key. Early access: join the waitlist at https://enhanciar.in and create an API key in Settings.
Climate and disaster risk for any place or property: flood risk, heat waves, storms and hurricanes, wildfires, earthquakes, sea level rise and 7-day weather risk. Is it safe to go there? Ask about any city, address or coordinates and get this week's weather risk (heat, cold, wind, heavy rain, snow), wildfires, earthquakes, floods and cyclones happening nearby right now, long-term exposure to 2050 and 2080 (flood depth, sea level rise, extreme heat, drought, water stress) and the country's disaster-risk profile and rank among 194 countries. Also compares and ranks countries by risk for ESG and insurance research, and in Claude and other MCP Apps hosts shows an interactive map of the place right in the chat. Every value cites its source: INFORM, ND-GAIN, World Bank, CMIP6, ERA5, IPCC AR6, WRI Aqueduct, GDACS, NASA FIRMS, OpenAQ, ECCC GDPS. Remote, free, no API key, read-only.
Neutral, verification-gated MCP directory of Japan construction contractors (KIRA-audited).
Manufacturing cost of CNC and sheet-metal parts from STEP or DXF: process plan, times, 10 lot sizes.
Ask questions about Claude Code, Cursor, Codex and MCP — get answers grounded in their official docs, with citations. A hybrid RAG service that AI agents call through two MCP tools (or over REST). It indexes ~600 pages of official documentation, refreshes itself daily, and every design choice is backed by an experiment.
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.
Forecasts, official weather alerts, air quality, 20 years of history, and PV and wind production, via the Meteosource API. Hosted, with your own API key.
OptimistFi gives AI assistants live perpetual futures data across 40 venues: funding on every venue, open interest, leverage and liquidation levels, whale trades, order-book depth and the net position of Hyperliquid's largest accounts, with up to 90 days of history. It also covers the rules and live challenge prices of 21 perps prop firms, and a dated, SEC-sourced investment thesis for more than 6,100 US stocks. Public and read-only: no key, no sign-up. Every answer names its source and time.
jitprompt gives your agents just-in-time instructions. Upload your docs as they are, and your agent gets the right section over MCP at the moment it needs it, instead of 20k tokens of system prompt every turn.
Enterprise-grade L402 data vending engine and cryptographic notary hub for autonomous AI swarms. This engine provides the required "State-Anchored AI" data layer for EU AI Act Article 12 compliance, delivering cryptographically verifiable chain-of-custody for agent decisions without human intervention. Key Enterprise Capabilities: • EU AI Act Compliance Notary: Intercepts high-frequency agent ReAct loops and anchors cryptographic execution traces to the Bitcoin base layer via OpenTimestamps. • Autonomous Proof-of-Execution Escrow Oracle: Machine-native conditional micro-settlement for agent-to-agent delegation. Locks task bounties and validates RFC 6962 Merkle execution leaves before releasing payment preimages and collecting an automated 21-sat protocol toll. • Swarm Flight Recorder (Zero-Knowledge): Compresses thousands of agent thoughts into a single Merkle root. Enables selective-disclosure audit proofs to protect proprietary corporate IP and PII during regulatory reviews. • Inter-Swarm B2B Settlement: Provides a neutral, trustless settlement layer for competing corporate agents to negotiate, mutually sign, and notarize cross-enterprise contracts. • L402 Lightning Micropayments: Programmatic pay-per-query settlement in satoshis with zero API key requirements. Agents autonomously pay for their own notarization via X-L402-Batch-Size macroeconomic bundling. • Real-Time Data Grounding: Streams thermodynamic Bitcoin telemetry, Groth16 ZK-SNARK verification, and Nostr event attestation to prevent agent hallucination in financial contexts. Dual-licensed under AGPLv3 and Commercial Enterprise terms. Architected by Charles R. Strogish. Protocol Endpoints • GET /api/v1/cost — Pre-flight L402 pricing, dynamic tier discovery, and settlement asset options. • GET /api/v1/stratigraphy — Nostr-signed thermodynamic Bitcoin dataset. • GET /api/v1/stratigraphy/stream — Real-time telemetry event stream.
Live data on millions of companies worldwide, read from their own websites, job boards and public registers: what they do, where they operate, their tech stack, funding rounds and investors, and how fast they grow. Find companies by industry, country, size, founding year, funding stage, investor or technology; get lookalikes of any company with the reasons; research one company in depth; search verified job postings and pay statistics. Read-only, OAuth sign-in; compact lists are free up to 50 a day, full profiles and statistics are paid from Alion credits.
Data Parrot brings AI revenue analysis of your HubSpot data into your AI tools.
Estimates the water and energy footprint of AI use – chat prompts, agent sessions from token counts, and everyday comparisons – from a published, versioned methodology with sources. Pure arithmetic, no API key; every result states its boundary and assumptions.
Connect your AI assistant to your Quattr account and ask in plain English: who gets cited instead of you in AI answers, why organic clicks changed, how you compare with tracked competitors, and which pages need attention next. Every answer comes from your own Quattr data.
Pull tables out of a PDF as rows and cells, ready for a spreadsheet or a data pipeline.
