ZBS Index What actually exists in applied AI, with the source next to it

mcp server

Code Context Engine

Index your codebase. AI searches instead of re-reading files. 94% token savings.

Description as published by the maintainer. Source

  • version 0.4.13
  • active
  • retrieval

active — Most recent push to the repository was 2026-08-02. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 393 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-08-02 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 14 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 0.4.13 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-05-03 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-05-03 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub

Where to get it

Related, by what their authors tagged them

  • io.github.BigJai/tokennuke — last commit 2026-03-02, shares code-indexing, token-savings
    Code indexing MCP: 15 tools, 10 languages, hybrid search, call graphs, O(1) retrieval.
  • io.github.Alejandro-M-P/git-courer — last commit 2026-07-31, shares gemini-cli, token-savings
    Full git MCP server for LLM agents — 17 tools, AST annotator, auto-backups, real plumbing.
  • datoon — last commit 2026-08-03, shares token-savings
    Smart structured-data to TOON gateway: converts to TOON only when it saves LLM tokens.
  • io.github.CSCSoftware/aidex — last commit 2026-08-05, shares ai-coding, code-indexing, copilot
    Persistent code indexing for AI assistants. 50x less context than grep. 11 languages.
  • io.github.codegraph-ai/codegraph — last commit 2026-07-19, shares ai-coding, code-indexing, copilot
    Semantic code graph: 42 tools, 38 languages. Callers, impact, AI context, memory, PR review.
  • io.github.BigJai/codemunch-pro — last commit 2026-03-02, shares code-indexing
    Code indexing MCP: 15 tools, 10 languages, hybrid search, call graphs, O(1) retrieval.
  • Memorix — last commit 2026-08-06, shares ai-coding, copilot, gemini-cli
    Local-first persistent project memory for AI coding agents across MCP clients and sessions.
  • Rails AI Context — last commit 2026-08-01, shares ai-coding, copilot
    38 MCP tools give AI agents live Rails schema, routes, models, and conventions.
  • com.llm-bus/llm-bus — last commit 2026-06-22, shares ai-coding, multi-agent
    Coordinate multiple AI agents over MCP: atomic claims, leases, shared ledger, handoffs, tasks.
  • io.github.asklokesh/loki-mode — last commit 2026-08-06, shares multi-agent, openai-codex
    Autonomous spec-to-product coding-agent CLI with an MCP server exposing 34 tools over stdio.

These share tags the maintainers applied themselves, such as code-indexing, token-savings, gemini-cli, ai-coding. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: ai-coding, claude, claude-code, code-indexing, codex, copilot, cursor, gemini-cli, github-copilot, llm-tools, mcp-server, multi-agent, open-source, openai-codex, save-tokens, token-savings.

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Sources

  1. elara-labs/code-context-engine on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.