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Show HN: I made a website that makes you cry

<a href="https:&#x2F;&#x2F;archive.ph&#x2F;10l96" rel="nofollow">https:&#x2F;&#x2F;archive.ph&#x2F;10l96</a>

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Hey Pietro and Luigi here, we are the authors of mcp-use (<a href="https:&#x2F;&#x2F;github.com&#x2F;mcp-use&#x2F;mcp-use">https:&#x2F;&#x2F;github.com&#x2F;mcp-use&#x2F;mcp-use</a>).When the first MCP servers came out we were very excited about the technology, but as soon as we wanted to get our hands dirty, we found out that MCP could be used only through Claude Desktop or Cursor. As engineers, we did not like that. MCP seemed like something you wanted to use to build products and applications yourself, not something to hide behind a closed source application.So we approached the SDK but were pretty dissatisfied with the developer experience (double async loops, lots of boilerplate). We decided to write mcp-use to make our lives easier.mcp-use lets you connect any LLM to any MCP server in just 6 lines of code. We provide a high level abstraction over the official MCP SDK that makes your life easier and supports all the functionalities of the protocol.Demo video here: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=nL_B6LZAsp4" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=nL_B6LZAsp4</a>.The key abstractions we provide are called MCPClient and MCPAgent.MCPClient takes in a set of server configurations, automatically detects the transport type and creates a background task which handles the stream from&#x2F;to the server.MCPAgent is a combination of the MCPClient, an LLM, and a custom system prompt. It consumes the MCP client by transforming the tools, resources and prompts into model agnostic tools that can be called by the LLM.The library also contains some cool utilities:- secure sandboxed execution of MCP servers (we know the protocol doesn&#x27;t shine for security)- meta-tools that allow the agent to search over available servers and tools (to avoid context flooding) and connect dynamically to the server it needs (you could create the omnipotent agent with this).Some cool things we did with this:
- write an agent that can use a browser and create&#x2F;read linear tickets updated with latest information on the internet- write an agent that has access to the metrics of our company to automatically create weekly reports.- I connected an agent to an IKEA curtain I hacked an MCP on to adapt the lighting of my room from images of the lighting situation.- recreated am open source claude code like CLI, with full MCP capability but with custom models and BYOK (<a href="https:&#x2F;&#x2F;github.com&#x2F;mcp-use&#x2F;mcp-use-cli">https:&#x2F;&#x2F;github.com&#x2F;mcp-use&#x2F;mcp-use-cli</a>).We recently crossed 100,000 download and we are used by many organizations, including NASA!We’d love to hear what you think of it, most importantly how we can improve it! We are happy to answer any questions and look forward to your comments.

Show HN: Mcp-use – Connect any LLM to any MCP

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Hey HN, we&#x27;re Haakam, Michael, and Adi. We&#x27;re building AgentMail (<a href="https:&#x2F;&#x2F;agentmail.to&#x2F;">https:&#x2F;&#x2F;agentmail.to&#x2F;</a>), an API to give AI agents their own email inboxes. We’re not talking about AI for your email, this is email for your AI.We started building email agents because they can converse with users in their inboxes, automate email-based workflows, and authenticate with third-party applications. Given these unique capabilities, we think email will be a core interface for agents.But we were building on top of Gmail, which was a struggle: poor API support, expensive subscriptions, rate limits, sending limits, GCP Pub&#x2F;Sub, OAuth, crappy keyword search, and an overall terrible developer experience.Gmail and other providers didn’t work for us. So we decided to bite the bullet and build our own.AgentMail is like Gmail, but API-first, with programmatic inbox creation, events over webhooks and websockets, simple API key auth, organization-wide semantic search, structured data extraction, and usage-based pricing that scales with emails sent&#x2F;received.Here’s a demo of building an email agent: <a href="https:&#x2F;&#x2F;youtu.be&#x2F;1V7BISeFUTM" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;1V7BISeFUTM</a>, and here’s a demo of a voice agent with its own email inbox: <a href="https:&#x2F;&#x2F;youtu.be&#x2F;eG2fCsRK4RY" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;eG2fCsRK4RY</a>So far AgentMail has been deployed to use cases such as apps with dedicated inboxes for each user, voice agents that receive documents in real time, automated account provisioning and QA testing, cold outbound platforms with thousands of inboxes, automations for processing invoices, and agents that coordinate work with humans and other agents.We would love to hear your thoughts and feedback. You can try our playground at <a href="https:&#x2F;&#x2F;chat.agentmail.to">https:&#x2F;&#x2F;chat.agentmail.to</a>

Show HN: AgentMail – Email infra for AI agents