MCP Bridge – Access Local MCP Servers Remotely

Hacker News

I built a bridge that lets cloud-based AI tools to communicate with local MCP servers. It converts HTTP/HTTPS to Stdio and includes Ngrok tunneling + token auth, and enable cloud-based tools to integrate local MCP servers easily. Repo: https://github.com/EvalsOne/MCP-bridge Feel free to check the demo video of how I use it to add MCP servers to my own AI tool and automate my daily tasks. https://youtu.be/puSDNPogscQ?si=rWkvRkoRLlMQO1um Happy holiday, and I would love your feedback :)

Visit product View on Hacker NewsDec 26, 2024

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3points

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Did not reach leaderboard

Launch Intel predictions

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

72%72% 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.

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

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

17%17% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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