Service-catalog-MCP – Index your codebase and make batch changes

Hacker News

Hi all 3 things service catalog does: * index * It indexes the whole codebase, and per repo to make a sense of it. 2 types of indexing we are looking at, a codebase level where we let the agent figure out the relation between repositories and per repo, where we extract the data (libraries, dependencies, etc) with respect to what we know of the codebase * search * After indexing the whole codebase, we are able to run search. the search can be either lexical or logical. we pass the context of the codebase we generated in the index phase to the search and let search decide what to look for. User will be able to search by asking "find me repositories that are written with python, use library X and all the repos that are relevant to these repos". * batch change * Batch change lets users make changes in many services at the same time. So a user will be able to say "Find all repos with github actions job name X and update the version from 1 to 2". The mcp server will fire up claude code in clones targeted repositories, and make a change while passing the codebase and repostiories context to it for better decision making. After making these changes, user can ask the server to make PRs, and check the PR status of them and give a summary ================= You can find a video of me using the mcp server here: https://infraas.ai

Visit product View on Hacker NewsJun 23, 2026

Share card

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

95%95% 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 · Strong signals: video, users · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% predicted probability of success on AppSumo, 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

28%28% 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

28%28% 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

13%13% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Ambassador Service Catalog for K8s40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ambassador Service Catalog for K8s

Hacker News4

Keep all microservices consistent and make batch changes37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Keep all microservices consistent and make batch changes

Hacker News3

F5NoMore – See your changes as you make them55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

F5NoMore – See your changes as you make them

Hacker News3

SwiftPM Catalog25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SwiftPM Catalog

Hacker News1

JordanRePeterson5%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

philosophy of Jordan Peterson catalog

Indie Hackers1advertising

A system to recommend configuration changes on NixOS / Nix47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A system to recommend configuration changes on NixOS / Nix

Hacker News3

British Newspaper Negativity Index40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

British Newspaper Negativity Index

Hacker News2

Crowdsourced index of concepts in CS lectures43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Crowdsourced index of concepts in CS lectures

Hacker News2

-0

-0.7 to -0.9 correlation between the VIX and our sentiment index52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

-0.7 to -0.9 correlation between the VIX and our sentiment index

Hacker News2

untumbld - an index of the unindexed tumblrs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

untumbld - an index of the unindexed tumblrs

Hacker News4

Browse all products Analyze your launch