原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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CocoIndex Code

作者:cocoindex-io版本 0.2.43i★ –i在你的电脑上运行
注册名称io.github.cocoindex-io/cocoindex-code

安装

概览

作者提供的说明(英文原文)

Semantic code search over a local repository, with AST-based chunks and incremental re-indexing.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: COCOINDEX_CODE_ROOT_PATH

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "cocoindex-code": {
      "command": "uvx",
      "args": [
        "cocoindex-code",
        "serve"
      ],
      "env": {
        "COCOINDEX_CODE_ROOT_PATH": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add cocoindex-code --env COCOINDEX_CODE_ROOT_PATH=your-value -- uvx cocoindex-code serve

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "cocoindex-code": {
      "command": "uvx",
      "args": [
        "cocoindex-code",
        "serve"
      ],
      "env": {
        "COCOINDEX_CODE_ROOT_PATH": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "cocoindex-code": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "cocoindex-code",
        "serve"
      ],
      "env": {
        "COCOINDEX_CODE_ROOT_PATH": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • COCOINDEX_CODE_ROOT_PATH env
    Root directory of the codebase to index. Set it when the client does not start the server inside the codebase. If unset, the server uses its working directory.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 cocoindex-io 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7231 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7231 个服务器的 99% 更新
  • 基础检查结果等于或优于此分类中其他 7231 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

CocoIndex Code 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.2.43)于今天进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT3天前更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT44天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

AST-based semantic code search

CocoIndex Code provides AST-based semantic search for your codebase, built on the CocoIndex Rust data transformation engine. Use it from the CLI or connect Claude, Codex, Cursor, and other coding agents through a Skill or MCP.

  • 70% token savings.
  • 1 min setup with default settings.

Star CocoIndex if you find it useful.

Deutsch | English | Español | français | 日本語 | 한국어 | Português | Русский | 中文

Get Started

Install

Using pipx:

pipx install 'cocoindex-code[full]'          # batteries included (local embeddings)

pipx upgrade cocoindex-code # upgrade

Using uv:

uv tool install --upgrade 'cocoindex-code[full]'

Two install styles — they mirror the Docker image variants of the same names:

  • cocoindex-code[full] — batteries-included. Pulls in sentence-transformers so local embeddings (no API key required) work out of the box. The ccc init interactive prompt defaults to Snowflake/snowflake-arctic-embed-xs.
  • cocoindex-code (slim) — LiteLLM-only; requires a cloud embedding provider and API key. Use when you don't want the local-embedding deps (~1 GB of torch + transformers).

Next, set up your coding agent integration — or jump to Manual CLI Usage if you prefer direct control.

Coding Agent Integration

This repository is a single plugin marketplace (.claude-plugin/marketplace.json) consumed by both Claude Code and Grok — same plugin id cocoindex-code, same ccc skill. Grok optionally activates the bundled hooks and MCP server with --trust; Claude Code users can install the same marketplace and rely on the skill alone or load hooks/MCP from the plugin as needed.

Skill (Recommended)

Install the ccc skill so your coding agent automatically uses semantic search when needed:

npx skills add cocoindex-io/cocoindex-code

The skill teaches the agent to handle initialization, indexing, and searching, so you don't need to run ccc init or ccc index yourself. The agent keeps the index up to date as you work.

The agent uses semantic search automatically when it would be helpful. You can also nudge it explicitly — just ask it to search the codebase, e.g. *"find how user sessions are managed"*, or type /ccc to invoke the skill directly.

Works with Claude Code and other skill-compatible agents.

Claude Code plugin marketplace

For Claude Code users, this repository is also a plugin marketplace. Install the skill from inside Claude Code with:

/plugin marketplace add cocoindex-io/cocoindex-code

/plugin install cocoindex-code@cocoindex-code

This bundles the same ccc skill, with version pinning and /plugin marketplace update for updates. The repository also ships hooks/hooks.json and .mcp.json for Grok (and Claude Code plugin installs that load those files); Claude users who want skill-only search can rely on the skill alone and add MCP manually in the MCP Server section below instead of using the bundled .mcp.json.

Grok plugin

For Grok users, install via Grok's plugin system. The plugin bundles three components:

ComponentPurpose
Skill (skills/ccc/)Agent runs ccc search / ccc index via the CLI (same as Claude Code above)
Hook (hooks/hooks.json)SessionStart + PostToolUse (Edit/Write/…) → incremental ccc index when .cocoindex_code/settings.yml exists (never in the directory holding ccc's user settings, ~ by default)
MCP (.mcp.json)ccc mcp stdio server — search tool with refresh_index=true by default

Grok does not import Claude's enabledPlugins or plugin cache; install separately even if you already use cocoindex in Claude Code.

Full install (skill + hook + MCP):

grok plugin marketplace add cocoindex-io/cocoindex-code

grok plugin install cocoindex-io/cocoindex-code --trust grok plugin enable cocoindex-code

Prefer the GitHub shorthand (cocoindex-io/cocoindex-code) for install — grok plugin install cocoindex-code can fail when no marketplace plugin matches that bare name.

--trust is required so Grok activates the plugin's hooks and MCP server (skills load when the plugin is enabled).

Skill-only (match Claude Code — no auto-index hook, no MCP tool):

Install and enable as above, then disable the optional components:

  1. Hooks — open /hooks, select the SessionStart / PostToolUse hooks from cocoindex-code, press Space to disable.
  2. MCP — open /mcps, select cocoindex-code, press Space to disable; or persist in ~/.grok/config.toml:
[mcp_servers.cocoindex-code]

enabled = false

The agent still owns indexing via the ccc skill (ccc index / ccc search --refresh when stale), same as Claude Code.

To avoid importing MCP servers from your Claude/Cursor user config (unrelated to this plugin):

[compat.claude]

mcps = false

[compat.cursor] mcps = false

Oh My Pi plugin

Oh My Pi reads .omp-plugin/marketplace.json (preferred) and falls back to .claude-plugin/marketplace.json.

omp plugin marketplace add cocoindex-io/cocoindex-code

omp plugin install cocoindex-code@cocoindex-code --scope project

Then restart the session (/reload-plugins does not reload extensions). Requires ccc on PATH (uv tool install --upgrade 'cocoindex-code[full]').

ComponentPurpose
Skill (skills/ccc/)Agent runs ccc search / ccc index via the CLI
Hook (extensions/ccc-index.ts via package.json#omp.extensions)session_start + post-edit tool_result → incremental ccc index when .cocoindex_code/settings.yml exists (never in the directory holding ccc's user settings, ~ by default)
MCP (.mcp.json)ccc mcp stdio server

OMP does not execute Claude hooks/hooks.json command hooks. The TypeScript extension is the OMP equivalent of the Claude/Grok SessionStart + PostToolUse pair.

Skill-only (no MCP, no auto-index): install the skill via npx skills add cocoindex-io/cocoindex-code, or run ccc search / ccc index from the shell.

MCP Server

Alternatively, use ccc mcp to run as an MCP server:

Claude Code

claude mcp add cocoindex-code -- ccc mcp

Codex

codex mcp add cocoindex-code -- ccc mcp

OpenCode

opencode mcp add

Enter MCP server name: cocoindex-code Select MCP server type: local Enter command to run: ccc mcp

Or use opencode.json:

{

"$schema": "https://opencode.ai/config.json", "mcp": { "cocoindex-code": { "type": "local", "command": [ "ccc", "mcp" ] } } }

</details>

Kilo Code

Add a local MCP server in ~/.config/kilo/kilo.jsonc, kilo.jsonc, or .kilo/kilo.jsonc:

{

"mcp": { "cocoindex-code": { "type": "local", "command": ["ccc", "mcp"], "enabled": true } } }

</details>

Oh My Pi

Prefer the marketplace install above. Manual project MCP (.omp/mcp.json):

{

"mcpServers": { "cocoindex-code": { "command": "ccc", "args": ["mcp"] } } }

</details>

Once configured, the agent can use semantic search to find code by description, explore unfamiliar codebases, and locate implementations without exact names.

Note: The cocoindex-code command (without subcommand) still works as an MCP server for backward compatibility. It auto-creates settings from environment variables on first run.

MCP Tool Reference

When running as an MCP server (ccc mcp), the following tool is exposed:

`search` — Search the codebase using semantic similarity.

search(

query: str, # Natural language query or code snippet limit: int = 5, # Maximum results (1-100) offset: int = 0, # Pagination offset refresh_index: bool = True, # Refresh index before querying languages: list[str] | None = None, # Filter by language (e.g. ["python", "typescript"]) paths: list[str] | None = None, # Filter by path glob (e.g. ["src/utils/*"]) )

Returns matching code chunks with file path, language, code content, line numbers, and similarity score.

Manual CLI Usage

You can also use the CLI directly — useful for manual control, running indexing after changing settings, checking status, or searching outside an agent.

ccc init                                # initialize project (creates settings)

ccc index # build the index ccc search "authentication logic" # search!

The background daemon starts automatically on first use.

Tip: You can skip ccc init and go straight to ccc index — it auto-initializes new projects with default settings. If global settings are missing too (first use on the machine), it walks you through the same model setup as ccc init when run interactively; non-interactive runs (scripts, hooks) still require a

只显示了开头部分;其余内容请在仓库中阅读

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