Attocode Code Intelligence
What it does
Local code search, symbol navigation and change impact for coding agents. No model, no API key.
- Connects 在你的电脑上运行
- Account or key No key needed
- Category 开发者工具
安装
选择你使用的 AI 应用,然后复制设置。
通过 3/3 项检查 · 在你的电脑上运行 · ✓ 命令已检查 2026年11月13日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude,但需要先准备
需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
打开电脑版 Claude 应用的设置文件
SettingsDeveloperEdit Config
粘贴这些设置并保存文件
{ "mcpServers": { "attocode-code-intel": { "command": "uvx", "args": [ "attocode-code-intel" ] } } }退出 Claude 再重新打开
试一试
用 Attocode Code Intelligence 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 Attocode Code Intelligence,或回答中出现 Attocode Code Intelligence 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 Attocode Code Intelligence
Attocode Code Intelligence 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器
你可以改用这些方式
A · 使用能连接 Attocode Code Intelligence 的应用
- 需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
- 需要先在电脑上安装 Python (uv)(只需一次)
- 需要先在电脑上安装 Python (uv)(只需一次)
- 需要先在电脑上安装 Python (uv)(只需一次)
B · 开发者工具 类中能连接 ChatGPT 的其他服务器
从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的
- Sentry✓ ChatGPT
- Compiler Explorer✓ ChatGPT
- GitDiagram✓ ChatGPT
可连接 Claude Code,但需要先准备
需要先在电脑上安装 Python (uv)(只需一次)
打开终端
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
粘贴这条命令并按 Enter
claude mcp add --scope user attocode-code-intel -- uvx attocode-code-intel在 Claude Code 中输入 /mcp
应能看到 Attocode Code Intelligence 在列表中并显示已连接
试一试
用 Attocode Code Intelligence 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 Attocode Code Intelligence,或回答中出现 Attocode Code Intelligence 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor,但需要先准备
需要先在电脑上安装 Python (uv)(只需一次)
在 Cursor 中以 Agent 模式打开 AI 聊天
试一试
用 Attocode Code Intelligence 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 Attocode Code Intelligence,或回答中出现 Attocode Code Intelligence 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code,但需要先准备
需要先在电脑上安装 Python (uv)(只需一次)
在 VS Code 中以 Agent 模式打开 AI 聊天
试一试
用 Attocode Code Intelligence 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 Attocode Code Intelligence,或回答中出现 Attocode Code Intelligence 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
开发者专用:终端命令和 JSON 设置
安装在电脑上
Claude Code
claude mcp add --scope user attocode-code-intel -- uvx attocode-code-intelClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"attocode-code-intel": {
"command": "uvx",
"args": [
"attocode-code-intel"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"attocode-code-intel": {
"command": "uvx",
"args": [
"attocode-code-intel"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"attocode-code-intel": {
"type": "stdio",
"command": "uvx",
"args": [
"attocode-code-intel"
]
}
}
}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。
一览
哪些应用可以使用它
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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14日
- ✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 eren23 验证,该账户拥有此仓库
- ✓ 通过
仍在维护
代码最后更新于昨天
- ✓ 通过
有许可证
使用 MIT
- – 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
讨论
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
用户评价
还没有评价
与“开发者工具”中的其他服务器比较i
- 星标数多于此分类中其他 5876 个服务器的 83%
- 发布到注册中心的时间比此分类中其他 5876 个服务器的 97% 更新
- 基础检查结果等于或优于此分类中其他 5876 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
Attocode Code Intelligence 安全吗?
它在 3 项适用的基础检查中通过了 3 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 仓库最后更新于昨天,最新版本(0.1.35)于昨天进入注册中心。
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:REA, GitHub, Serena MCP: the IDE for your agent
同类别的其他选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ 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
GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Serena MCP: the IDE for your agent
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.
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。
attocode-code-intel
Local code search and navigation for coding agents and for people. It runs as an MCP server for Codex, Claude Code, Cursor and other MCP clients, and as a command in your terminal. It needs no model, no API key and no network.
Status: beta. We measured the search quality (see What we measured). We have not shown that it makes agents faster or more accurate.
Quickstart
You need Python 3.12 or later and Git.
uv tool install attocode-code-intel
cd /path/to/your/project attocode-code-intel init
Then restart your agent. init configures Codex, Claude Code and Cursor. Use --client claude, --client codex or --client cursor for one client. Codex needs a trusted project for a project configuration. Claude Code can ask you to enable the project MCP server.
To check the setup, run attocode-code-intel doctor. It starts the configured server, calls two tools and shows the result for each client. The probe also reports the executable and server version returned by that new probe. An already running client session must be checked separately.
For other clients (VS Code, Zed, Windsurf, Claude Desktop and more), run attocode-code-intel install . attocode-code-intel commands lists the targets.
To run the server without an installation, use uvx. This is a configuration for any MCP client that starts a local command:
{
"mcpServers": { "attocode-code-intel": { "command": "uvx", "args": ["attocode-code-intel", "--project", "/absolute/path/to/your/project"] } } }
You can omit --project if the client sends one workspace root. Otherwise the server looks for a repository marker such as .git in the working folder and its parents, but never selects your home folder. If it finds no repository, it stops with an error.
To use the latest source, install from a clone of this repository: uv tool install /path/to/attocode/packages/code-intel.
What your agent gets
Version 0.1.35 adds an optional stdio-to-HTTP client bridge that manages a live cancellation context and forwards tool cancellation using the actual upstream SDK request ID. init --http-cancellation configures the bridge with a named token environment variable. Authentication and the server's cancellation opt-in are still required; notification enqueueing is best effort. See the release notes for setup, verification and transport limits.
Version 0.1.34 corrects gateway cancellation and workspace-worker ownership, and adds optional authenticated HTTP tool-call cancellation. HTTP cancellation stays off by default and requires a per-client UUID4 context and one server process or context affinity. See the release notes for setup, verification and remaining limits.
Version 0.1.33 makes remote-settings saves atomic and private, preserves old config bytes on failed writes, and refuses symlink redirects or invalid and oversized data. The existing Perl roots and TOML values survive successful saves. See the release notes for the Linux/macOS contract, refusal behavior and remaining limits.
Version 0.1.32 adds explicit Perl module roots in .attocode/config.toml, refreshes dependencies after config-only edits, and preserves valid TOML when saving remote settings. File-discovery exclusions and unresolved module ambiguity remain conservative. See the release notes.
Version 0.1.31 retains prior vectors during failed live refresh, fences superseded queued writes, and commits file vectors and metadata together. Go receiver identities agree across keyword, body and vector search; optional fusion keeps distinct source spans and preserves vector text when only keyword metadata is available. Future cache formats are refused before journal or permission changes. See the release notes for validation and bounds.
Version 0.1.30 preserves Java, C and Go signature metadata, Go type and receiver ownership, and imports inside declared Go standard modules. Parameter and body-only edits update cached metadata and callers, while startup checks parser and indexer identity before reusing persisted symbols. See the release notes for source-pinned validation and limits.
Version 0.1.29 recognizes Perl .t test scripts in both parser entry points, making native test imports and callers available when a Perl grammar is installed or cached. Source-pinned Carp checks cover real cross-file navigation and scoped inclusion through refresh/restart. See the release notes.
Version 0.1.28 summarizes duplicate compact-search metadata diagnostics after evidence fitting. Full lexical-index details remain at data.ranking.index, with readiness and coverage hints in metadata.ranking.index. Results and source excerpts are unchanged. See the release notes.
Version 0.1.27 fixes a dictionary-size error during symbol inspection when AST hydration changes the cache concurrently. Namespace resolution snapshots cached file membership; later changes appear in the next build. See the release notes.
Version 0.1.26 gives Rust precision lookups a shared five-second budget and fixes cancelled startup cleanup when a child retains inherited pipes. Other languages keep two seconds; longer reloads still return partial evidence.
Version 0.1.25 uses OpenAI embeddings only when you set ATTOCODE_EMBEDDING_MODEL=openai. Before, an OPENAI_API_KEY in the environment was enough to send code chunks to OpenAI at index time. Rust references are also more reliable while rust-analyzer loads.
Version 0.1.24 adds ATTOCODE_INTEL_RANKING_PROVIDER=openrouter, a preset for the opt-in hosted rerank. In a frozen trial with 24 short questions, the rerank found 24 of 26 labeled files in the first five results, against 20 without it; see Hosted rerank. Rerank stays off by default, because it sends source excerpts to OpenRouter.
Version 0.1.23 is listed in the official MCP Registry and documents a uvx quick start. The opt-in hosted rerank now accepts the dated model ID that OpenRouter returns; see Hosted rerank. Rerank stays off by default.
Version 0.1.22 adds an opt-in discovery budget of up to 100,000 files (ATTOCODE_INTEL_DISCOVERY_MAX_FILES; the default stays 50,000). It also packages the LLM client, so ATTOCODE_FLAG_CONFIDENCE=llm and LLM rule synthesis work from a PyPI install when an OpenRouter or Anthropic key is set.
Version 0.1.21 includes configured search-discovery coverage, OCaml interface parsing and more conservative Go/Rust fallback evidence. The existing 100 ms native budget and 50,000-file discovery safety ceiling remain; bounded fallback is heuristic.
Version 0.1.20 improves native OCaml/Perl call candidates and conservative workspace import candidates for OCaml, Perl and Crystal. Physical paths and ambiguity remain guarded; native limits, ranking and dependencies are unchanged. Optional grammars must be explicitly available before analysis; navigation never downloads them.
Version 0.1.19 restores source text into spare space after fitting a complete compact search page. Existing hits, visible text, source lines and continuations remain protected within the same response budget; ranking and retrieval are unchanged.
Version 0.1.7 also provides changes and trace commands: investigate a diff, follow source-backed caller paths, export JSON/Markdown, and check or refresh saved evidence. MCP equivalents change_context and trace_flow are local full-profile tools. Version 0.1.8 adds exact file/symbol selection and bounded changed-class summaries, with --class-mode expand for class-wide callers. Version 0.1.9 keeps Python docstrings and parameter types, and lists impact results nearest first. Version 0.1.10 shows the best test hit second for "tested" searches, and counts Swift Tests/ folders as tests. Version 0.1.11 counts more test file names as tests, such as _test.dart and Perl .t scripts and t/ modules. Version 0.1.12 makes doctor --client claude read the local-scope entry that claude mcp add writes to ~/.claude.json. Version 0.1.13 fills compact search pages within their budget, offers bounded deeper searches, and repairs stale navigation indexes after successful restart parsing. Version 0.1.18 restores the ready phase after a failed snapshot load is followed by a complete fallback rebuild. Incomplete recovery stays guarded.
Version 0.1.17 lets a later explicit inspection retry a failed selected-file parse after a one-second cooldown, preserving immediate-repeat and source guards. Version 0.1.16 stabilizes tied symbol pages and reduces the Docker image while preserving runtime contracts. It adds bounded online maintenance evidence; the preview and restart experiments did not justify product changes. Version 0.1.15 adds parser ownership by thread, one language-server stderr reader, bounded native recovery without static callers and release install verification on GitHub runners. Version 0.1.14 adds bounded selected-file recovery, safe navigation publication, guarded Elixir definitions and doctor probe identity. See the change investigation guide.
The agent sees 16 tools (the daily profile):
| Use | Tools |
|---|---|
| Find code | semantic_search, fast_search, search_symbols, bootstrap, relevant_context |
| Read a symbol | inspect_symbol, symbols, cross_references, call_graph |
| See structure | dependencies, explore_codebase, project_summary |
| Plan a change | impact_analysis, suggest_tests, review_change |
| Check the server | capabilities |
- When the agent knows a symbol,
inspect_symbol(symbol_name="...", task_hint="...")gives the definition, the source, the references and candidate tests in one call. - In an unfamiliar repository,
bootstrap(task_hint="...")finds the relevant code and gives a map. impact_analysisandsuggest_testshelp plan the checks for a change.
For all tools (about 140: rules, security scans, history, snapshots and more), add --profile full to init. The tool catalog lists them. The search details page describes ranking, the response format and the experimental rerankers.
Explicit Perl module roots are available from 0.1.32 for static resolution over discovered workspace files.
For an experimental local seven-tool surface (0.1.5 or later), use init --profile lean and restart your client. It advertises bootstrap, search_symbols, inspect_symbol, semantic_search, impact_analysis, suggest_tests and capabilities, with conditional routing instructions and 2,000-token responses. Without file watching, notify_file_changed is an eighth tool. Advanced tools require a full-profile session. This opt-in profile has no demonstrated completion benefit; see the [completed pilot](https://github.com/eren23/atto