API Robots 🤖🚀

✅ Explore our vast ecosystem of APIs 🧩 We've got 50+ APIs covering everything from finance, crypto, vin decoders, streaming services to motivation. Dive in and supercharge your app today! #RestAPI #API apirobots.pro/apis/

I reached $10K MRR in 30 days. Here's the exact playbook I used 🧵 #indiehacker #saas #buildinpublic

Made $10K for 30 days! #buldinpublic #indiehacker #microsaas

@eddylazzarin Google Trends peaked in August 2025

I never hear about MCP "servers" anymore. What happened?

@gethackteam Have you tried any of these? github.com/adhikasp/mcp-t… github.com/vidhupv/x-mcp github.com/dewkiks/twitte…

Is there a MCP server for the X API? (cannot find one that actually works...)

@JakiTreehorne @MervinPraison @ollama @PraisonAI @adamsilverman @Saboo_Shubham_ @elonmusk You can find thousands of MCP servers at this awesome list github.com/bgizdov/awesom…

@MervinPraison @ollama @PraisonAI @adamsilverman @Saboo_Shubham_ @elonmusk Where can I find some good MCP servers to test with Ollama?

Introducing @Ollama MCP AI Agents! 🎉 🔒 100% local 💻 Just 3 lines of Code 🗺️ 1000+ MCP server Integration ✨ @PraisonAI v2.1 is here with 1000+ MCP Support ! @adamsilverman @Saboo_Shubham_ @elonmusk

@charlierward You can search within 900+ MCP Servers here apimcp.dev/mcp-directoryh…

Where is your go to place to find MCP servers?

@dan_starns That is impressive, we are building a service for converting APIs to MCP, and one of the main issues is the big number of tools available, do you think your project can help with this?

Been building with MCP servers lately and kept exhausting my API limits with 90+ tools loading on every request 😅 So I built MCP-RAG - a TypeScript wrapper for AI SDK that uses vector search + Neo4j to semantically select only the relevant tools you actually need. Went from 47K tokens down to 5K while keeping 100% accuracy. Basically, your agent doesn't need to see every tool on every request. Let it search instead. Open source, benchmarked, ready to use. GitHub, npm, and full breakdown below 👇 rconnect.tech/blog/semantic-…

@buraksarica @ericzakariasson @cursor_ai We've already built this, you can convert your API to MCP and use it in @cursor_ai in minutes remotely hosted without code writing apimcp.dev

@ericzakariasson @cursor_ai An API to MCP wrapper so we wouldn't need to build or host MCP's ourselves.

if you could extend @cursor_ai, what would you build? think plugins to tweak chat + ui, hooks into internal agent APIs, full editor extensibility… curious to hear!

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APIMCP is #1 Project of the day at @openlaunchai openlaunch.ai/projects/apimc… #mcp #restapi #ai #LLMs

@aaditsh 14 min? With apimcp.dev you can build Remote MCP from your API in 1 minute.

@svpino Could we create a good MCP based on a RESTful API by limiting the tools and combining endpoints into more behavioral tools?

The Model Context Protocol (MCP) is not just "another API lookalike." If you think, "Bro, these two ideas are the same," it means you still don't get it. Let's start with a traditional API: An API exposes its functionality using a set of fixed and predefined endpoints. For example, /products, /orders, /invoices. If you want to add new capabilities to an API, you must create a new endpoint or modify an existing one. Any client that requires this new capability will also need modifications to accommodate the changes. That issue alone is a colossal nightmare, but there's more. Let's say you need to change the number of parameters required for one endpoint. You can't make this change without breaking every client that uses your API! This problem brought us "versioning" in APIs, and anyone who's built one knows how painful this is to maintain. Documentation is another issue. If you are building a client to consume an API, you need to find its documentation, which is separate from the API itself (and sometimes nonexistent.) MCP works very differently: First, an MCP server will expose its capabilities as "tools" with semantic descriptions. This is important! Every tool is self-describing and includes information about what the tool does, the meaning of each parameter, expected outputs, and constraints and limitations. You don't need separate documentation because the interface itself is that documentation! One of my favorite parts is when you need to make changes: Let's say you change the number of parameters required by one of the tools in your server. Contrary to the API world, with MCP, you won't break any clients using your server. They will adapt dynamically to the changes! If you add a new tool, you don't need to modify the clients either. They will discover the tool automatically and start using it when appropriate! But this is just the beginning of the fun: You can set your tools so they are available based on context. For example, an MCP server can expose a tool to send messages only to those clients who have logged in first. There's a ton more, but I don't think I need to keep beating this dead horse. AI + MCP > AI + API *micdrop*

Checkout MCP Weekly: - Model Context Protocol (MCP): what, how, and its benefits - How Model Context Protocol (MCP) is Fueling the Next Era - How to Secure your Model Context Protocol Estate mcpweeklydigest.substack.com/p/model-contex… #mcp #ai #claude #llm #ChatGPT

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