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Playground to Test Skills and MCP

Hacker News

Playground to Test Skills and MCP

Hi HN, I'm Matt, founder of MCPJam. We're building open source dev tools for MCP server builders. There’s been a lot of debate around skills vs MCP. From what I see, there’s a growing trend of people using skills paired with MCP servers. Skills teach the agent how to use the MCP server tools and guide the agent to completing complex workflows. We’re also seeing Anthropic encourage the use of Skills + MCP in their products. Anthropic recently launched the connectors marketplace. A good example of this is the Figma connector + skills. The Figma skill teaches the agent how to use the Figma MCP connector to set up design system rules. The use of Skills + MCP pairing is growing, and we recommend MCP server developers to start thinking about writing skills that complement their MCP server. Today, we’re releasing two features around skills to help you test skills + MCP pairing. In MCPJam, you can now view your skills beautifully in the skills tab. MCPJam lets you upload skills directly, which are then saved to your local skills directory. You can also test skills paired with your MCP server in MCPJam’s LLM playground. We’ve created a tool that contextually fetches your skills so they get loaded into the chat. If you want more control, you can also deterministically inject them with a “/” slash command. Skills + MCP are a fairly new concept. I would love to hear your thoughts on it!

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, mcp, new · Missing: mac, agents, macos
96%96% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: open source, ide · Missing: https docs, excited, just released
40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive
19%19% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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