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Products that do what Sourcerer – MCP for semantic code search that reduces token waste does

I built this because I got tired of watching Claude Code read through massive files just to find a few functions. Sourcerer lets AI agents search code semantically and grab exactly the code chunks they need instead of burning tokens on whole files. It uses tree-sitter to parse your codebase and creates a searchable index. So instead of "read auth.py (538 lines)", an agent can search for "user authentication logic" and get back just the relevant functions. Demo: https://asciinema.org/a/736638 GitHub: https://github.com/st3v3nmw/sourcerer-mcp

  1. 1SA

    Hi HN, We’re Brendan and Michael, the creators of Sourcebot (https://github.com/sourcebot-dev/sourcebot). Sourcebot is an open-source code search tool that allows you to quickly search across many large codebases. Check out our demo video here: https://youtu.be/mrIFYSB_1F4, or try it for yourself on our demo site here: https://demo.sourcebot.dev While at prior roles, we’ve both felt the pain of searching across hundreds of multi-million line codebases. Using local tools like grep were ill-suited since you often only had a handful of codebases…

    2024 · github.com

  2. 2

    Local semantic search for AI agents

    Aug 2026 · tryreference.com

  3. 3SC

    Hey HN! We (Stephan and Thomas) recently open-sourced Semble. We kept running into the same problem while using Claude Code on large codebases: when the agent can't find something directly, it falls back to grep, reading full files or launching subagents. This uses a lot of tokens, and often still misses the relevant code. There are existing tools for this, but they were either too slow to index on demand, needed API keys, or had poor retrieval quality. Semble is our solution for this. It combines static Model2Vec embeddings (using our latest static model: potion-code-16M) with BM25, fused…

    May 2026 · github.com

  4. 4SS

    Hi HN, We’re Brendan and Michael, the creators of Sourcebot (https://www.sourcebot.dev/), a self-hosted code understanding tool for large codebases. We originally launched on HN 9 months ago with code search (https://news.ycombinator.com/item?id=41711032), and we’re excited to share our newest feature: Ask Sourcebot. Ask Sourcebot is an agentic search tool that lets you ask complex questions about your entire codebase in natural language, and returns a structured response with inline citations back to your code. Some types of questions you might ask: - “How does…

    2025 · github.com

  5. 5

    The MCP that proves your AI's integration fixes work

    14d ago · fetchsandbox.com

  6. 6MS

    I was looking around for an MCP server that could connect Anna's Archive to Claude Desktop, as I wanted to be able to search and download books directly through the interface. I couldn't find any public implementations, so ended up building one myself. What it does? - It searches Anna's Archive by keywords. - It downloads books from search results. - It works directly in Claude Desktop through MCP. Check out the repository's README for detailed installation and configuration instructions. The code is fully open source and builds run on GitHub Actions for transparency. I figured I'd share,…

    2025 · github.com

  7. 7

    Skip migration and launch MCP with built-in Auth

    Nov 2025

  8. 8CS

    We now write most of our code with agents. For a while, PRs piled up, causing review fatigue, and we had this sinking feeling that standards were slipping. Consistency is tough at this volume. I’m sharing the solution we found, which has become our main product. Continue (https://docs.continue.dev) runs AI checks on every PR. Each check is a source-controlled markdown file in `.continue/checks/` that shows up as a GitHub status check. They run as full agents, not just reading the diff, but able to read/write files, run bash commands, and use a browser. If it finds…

    Feb 2026 · docs.continue.dev

  9. 9

    Open-source Computer Use MCP for AI agents

    May 2026 · github.com

  10. 10

    Your AI has your code's text, never its map. Fix that.

    Jun 2026 · luuuc.github.io

  11. 11AM

    I am Rohan, and I have grown really frustrated with CC's search and read tools. They use Haiku to summarise all the search results, so it is really slow and often ends up being very lossy. I built this MCP that you can install into your coding agents so they can actually access the web properly. Right now it can: - search the general web - search Reddit - read and scrape basically any webpage Install it: npx openalmanac setup The MCP is completely free to use. We have also built a central store where you can contribute things you learned while exploring. If you find something useful, you can…

    Apr 2026 · openalmanac.org

  12. 12PA

    Hello HN, I’m Kamil. The past months have been filled with news about ChatGPT, Bard, etc. Thankfully, there are some heroic attempts to bring that power to the users. I wanted to contribute to that effort with my side project, an extension for Chrome: it makes searching the history by meaning – instead of the exact words – possible. This is only a proof of concept, building on the excellent transformers.js[0], and running entirely in the browser. My goal here is to explore the possibilities unlocked by a client-side AI. I would love to have your feedback, to know which direction that project…

    2023 · getpinbot.com

  13. 13AM

    Hey HN! One of the biggest limitations of tools like Cursor is that they only have context over the project you have open. We built this MCP to allow you to fetch code context from all of your repos. It uses Sourcebot under the hood, an open source code search tool that supports indexing thousands of repos from multiple platforms. The MCP server leverages Sourcebot's index to rapidly fetch relevant code snippets and inject it into your agents context. Some use cases this unlocks include: - Finding all references of an API across your companies repos to allow the agent to provide accurate…

    2025 · github.com

  14. 14
    grepai33

    grep for the AI era

    Jan 2026

  15. 15CA

    Codebased combines Tree Sitter for code awareness (find functions, data structures, constants, etc. not just lines of code), full-text search using SQLite, and semantic search using OpenAI embeddings + FAISS. Despite being implemented in Python, supporting semantic search, making multiple API calls for embedding and re-ranking, it is faster than ripgrep for runng searches against the Linux kernel (takes ~1 second vs. ~2 seconds, obviously depends on system, temperature, time of day, tidal forces, etc.) Up next: - A Perplexity-like agent for interpreting results, making multiple follow-up…

    2024 · codebased.sh

  16. 16RA

    Hey HN! I built Retain as the evolution of claude-reflect (github.com/BayramAnnakov/claude-reflect). The original problem: I use Claude Code/Codex daily for coding, plus claude.ai and ChatGPT occasionally. Every conversation contains decisions, corrections, and patterns I forget existed weeks later. I kept re-explaining the same preferences. claude-reflect was a CLI tool that extracted learnings from Claude Code sessions. Retain takes this further with a native macOS app that: - Aggregates conversations from Claude Code, claude.ai, ChatGPT, and Codex CLI - Instant full-text…

    Jan 2026 · github.com

  17. 17AC

    We built a reference MCP server that lets your editor/agent learn a codebase directly from source (signatures, types, AST, comments). Docs are optional. The reference impl runs on our open-source project’s codebase. Why we built it Docs are important, but they add another abstraction layer between your code and your users. Keeping them at the right quality is hard (especially at a startup), and LLM-generated docs are often mediocre until you invest real polish. Exposing code to the model in a structured way keeps answers grounded and current, and it’s always available. You can even…

    Sep 2025 · github.com

  18. 18RM

    I was tired of asking my claude code to reference my codex chats to get references to what decisions it made and why ; so I built Reference MCP It, whenever prompted establishes sessions to get direct access - been using it on my system for a bit and was super helpful so I made a repo :) Would love feedback!

    Jun 2026 · github.com

  19. 19

    The AI research assistant that cites real sources honestly

    Jun 2026 · github.com

  20. 20IB

    Hi! My name is Herve Kom, a computer science student that is interested in learning new things everyday! As one of my graduation project, I have developed a Claude Code -like Coding CLI, but with enhancement for API Testing: - Auto-generate & run tests (unit, e2e, Playwright, CI/CD, etc.) - Say bye-bye to hallucinations with built-in MCP Server to let LLM directly read from API Docs - Adding Agent.md support for better context persistence across your whole codebase - Automatic bug & security scans (logic is kind of basic but works great!) - Vibes, I want it to feel less "enterprise" but…

    2025 · github.com

  21. 21

    Hi y'all. Been working on something that should've been made a long time ago imo. It compiles codebases into O(1) hashmaps that the agent queries to discover the structure of your code/answer questions/write code. It also does complete static analysis checks on any writes the agent makes. Don't take my word for it though. Here are the benchmarks: https://benzi.fly.dev/benchmark. on 2/20 tests, Claude Code (mostly Sonnet on one task) regressed or timed out. Benzi didn't because of course, it has a map it can query and not get lost in the sauce. On the other 18 it…

    29d ago · benzi.fly.dev

  22. 22CA

    2022 · codesearch.ai

  23. 23OS

    Hey HN! I'm open-sourcing a little weekend side project. It's a terminal UI that generates parsers for webpages using AI, and a library that runs these parsers while you browse (it connects to Chrome over CDP). You can parse Twitter, LinkedIn, and HN posts and they get saved to a DuckDB database, so you can query them later. Contributions welcome! I wrote a bit more about it here: https://0thernet.substack.com/p/memo-2-selectron

    2025 · github.com

  24. 24AM

    More than a decade ago, I adopted the self-imposed rule, if I answer a question more than once, the third time I need to be able to answer with a URL. Today, I published one very large URL - a book distilling what I learned from helping people work remotely at GitHub, and I wanted to rethink my rule for the age of AI. What if, instead of a URL, I could create an interactive experience that could tailor the guidance to your particular situation? What I ended up building was an Open and Async Advisor MCP server. To install (in claude or any other AI): > claude mcp add open-async -- npx -y…

    Jul 2026 · github.com

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