MetaMCP – the middleware MCP to manage all your MCPs

Hacker News

Hi HN I am James author of MetaMCP would like to share a project I recently launched and would like to learn your thoughts about it! MetaMCP manages MCPs through its middleware MCP server. A few feature highlights: - GUI app to manage MCP configurations with dynamic updates when list_tools, etc. - Support ANY MCP clients (e.g. Claude Desktop, Cursor, etc.) because MetaMCP is a MCP server. - Support prompts, resources, tools under MCP. - Support multi-workspace: e.g. activate a workspace of DB1 or switch to DB2 in another workspace, preventing polluting context of DB1 to your MCP Client.

Visit product View on Hacker NewsFeb 24, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, claude, mcp · Missing: mac, agents, macos

90%90% 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.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

22%22% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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