Launching Espresso API & MCP — Curated Business Intelligence for AI Agents & Dashboards

Project Cafecito launched Espresso API & MCP, a curated business intelligence product for AI agents and dashboards. The API provides structured signals and events from public data sources, including product changes, stock movements, and SEC filings, with an MCP server for direct agent consumption.

It is my pleasure to introduce Project Cafecito https://medium.com/r/?url=https%3A%2F%2Fcafecito.tech ’s next product — Espresso API & MCP https://developer.cafecito.tech/howtos/espresso-howto . The API is part of the larger Espresso product suite, which also includes Espresso Publications: Editorials https://developer.cafecito.tech/howtos/espresso-howto , X https://x.com/espressovibz , Threads https://www.threads.com/@espresso.sips — our curated digests and deeper human-readable analysis built on the same high-signal intelligence layer. Think of it as concentrated shots of structured intelligence: event digests, synthesized signals, tags, and relationships — served fresh for dashboards, monitoring workflows, and AI agents. Like everything we ship these days, it comes with a full MCP server so your agents can sip directly without burning tokens on JSON parsing. Events are generated from a wide range of public data sources — product price changes, stock market movements, SEC filings, earnings reports, product announcements, corporate partnerships, and more. Signals are the abstraction layer on top. They combine multiple similar events across an extended timeline to identify event chains, causal relationships, and commonality between various entities. python import requests import os API KEY = os.environ "CAFECITO API KEY" BASE URL = "https://api.cafecito.tech" headers = {"Authorization": f"Bearer {API KEY}"} resp = requests.get f"{BASE URL}/espresso/signals", headers=headers, params={ "q": "market volatility and interest rate impact", "acc": 0.75, "limit": 5, "response type": "text" }, timeout=30 resp.raise for status print resp.text resp = requests.get f"{BASE URL}/espresso/signals", headers=headers, params={ "tags": "usa", "policy reform" , "from": "2026-05-01", "limit": 10 }, timeout=30 resp.raise for status print resp.json Combine semantic + tags resp = requests.get f"{BASE URL}/espresso/signals", headers=headers, params={ "q": "regulatory changes affecting tech", "tags": "regulation","openai" , "acc": 0.8, "limit": 8 } resp.raise for status print resp.json { "actions": "2026-06-28 Firefighters died and injuries occurred at Wyoming-Utah border.", "2026-06-28 Large wildfire destroyed parts of ski resorts." , "briefing": "On June 28, 2026, three U.S. firefighters died while battling rapidly spreading wildfires near the Colorado-Utah border; approximately 100 sq km burned. Temperatures reached 34°C with strong winds, prompting mass evacuations. The Snyder Fire merged with others, causing significant damage to infrastructure like ski resorts. Causes include severe drought and human factors. This incident reflects escalating regional wildfire risks driven by climate change.", "companies": "us federal", "us state" , "cross domain impacts": "public safety: Increased risk of civilian casualties.", "tourism: Disruption of winter sports facilities.", "environmental: Habitat loss in mountainous areas." , "event type": "wildfire outbreak", "future outlook": "Continued extreme fire seasons expected without mitigation efforts.", "id": "091726f8-421a-566d-9db8-339625f2ed9e", "impact level": "high", "macro context": "western us climate crisis", "regions": "colorado", "utah" , "reported": "2026-06-28T22:49:07Z", "tags": "wildfire", "climate change", "us", "emergency response" }, { "actions": "2026-06-28 Governments of United States and Iran agree to cease fire", "2026-06-30 Bilateral talks scheduled in Oruz" , "briefing": "On June 28, 2026, U.S.-Iran governments reached an emergency agreement halting military clashes amid regional tensions. The pause prevents broader war while resuming negotiations by June 30 focused on Ormuz Strait security. This diplomatic step averts immediate market shocks but depends on both sides lowering aggressive rhetoric for tangible outcomes.", "cross domain impacts": "energy markets: Reduced oil volatility expected", "security framework: Gulf stability improved temporarily" , "event type": "diplomatic ceasefire", "future outlook": "Talks may stabilize but risk re-escalation without sustained engagement.", "id": "6b4562d2-0a5c-540f-a39e-f1d5cad4ee5f", "impact level": "high", "macro context": "middle east conflict resolution", "products": "petróleo" , "regions": "gulf", "ormuz" , "reported": "2026-06-28T21:52:00Z", "tags": "diplomacy", "gulf", "iran", "us", "fuel" } Full documentation is available in the Developer Portal https://developer.cafecito.tech/introduction . If you’re building AI agents, executive dashboards, automated briefings, or RAG pipelines that need real business/market/policy context — Espresso is the noise-free high-signal layer you’ve been missing. v0.1 is live and open. It’s early — we’re still pruning bugs and adding more signals — but it’s already useful enough that I’m using it internally. Try Espresso here https://developer.cafecito.tech/api/espresso | Get your API key & full docs https://developer.cafecito.tech/settings/api-keys Fire it up and start sipping. It's free for a while dude Drop a comment below and tell me: Happy building. May your signals stay strong and your agents well-informed. ☕ PS : This is part of the growing Cafecito stack Beans + Espresso + more brewing . If you liked the no-BS vibe from the Beans launch, you’ll enjoy what’s coming next. See you in the comments. Beans API https://developer.cafecito.tech/settings/api-keys is your bare metal news and blogs API. You query it when you want raw content being published by different publishers, authors, and news sites. Great for RAG, full article retrieval, or when you need the original source material. Oh by the way, we just added a new route for tracking content propagation across publishers and mentions on social media. It’s good 💩, check it out. Espresso API is the structured, curated market intelligence layer. It takes multiple information sources, cross-correlates them, and gives you the data that actually matters for business decision-making — without all the pointless crying, whining, bitching, and moaning noise. In short: PS Cafecito https://cafecito.tech/ | Espresso https://espresso.cafecito.tech/ | X https://x.com/espressovibz | Threads https://www.threads.com/@espresso.sips | GitHub https://github.com/soumitsalman/go-espresso-api Creators: Soumit Salman Rahman https://www.linkedin.com/in/soumitsrahman/ | Daniel Oliver Vidaud https://www.linkedin.com/in/dvidaud/