Ermöglicht Coding Agents die lokale Code-Suche, Symbol-Navigation und Change Impact Analysis, ohne dass ein LLM oder ein API-Key benötigt wird.
Auch bekannt als eren23/attocode, attocode-code-intel
- Stars
- 17
- Tools
- —
- Downloads, 30 Tage
- 6.115
- Neueste Version
- 0.1.36
- Letzter Commit
- 13. Nov. 2026
- Lizenz
- MIT
Was ist Attocode Code Intelligence MCP?
Attocode Code Intelligence ist ein MCP server. Ermöglicht Coding Agents die lokale Code-Suche, Symbol-Navigation und Change Impact Analysis, ohne dass ein LLM oder ein API-Key benötigt wird.
Zusammenfassung generiert aus dem README des Projekts
Über Attocode Code Intelligence MCP server
Attocode Code Intelligence bietet lokale Code-Suche und Navigationsfunktionen für Coding Agents und Entwickler. Es fungiert als MCP server, der mit Clients wie Claude Code, Cursor und Codex kompatibel ist, oder als eigenständiger Terminal-Befehl. Da alles vollständig auf deinem lokalen Rechner läuft, sind keine API-Keys, keine externen Modelle und keine Netzwerkverbindung erforderlich.
Nutzer können den Server für spezifische Clients mit dem init-Befehl initialisieren oder ihn via uvx für jeden MCP client ausführen, der lokale Befehle unterstützt. Der Server bietet verschiedene Tool-Profile an, wie zum Beispiel das Daily-Profil, das 16 Tools zum Finden von Code, Lesen von Symbolen und Planen von Änderungen bereitstellt. Er unterstützt verschiedene Programmiersprachen wie Go, Rust, Java, C, Perl und OCaml. Während primär Keyword-Matching genutzt wird, können Nutzer durch die Installation des semantic-Extras oder die Konfiguration von OpenAI Embeddings via Umgebungsvariablen auch die semantische Suche nutzen.
Was du damit machen kannst
- 1Code-Änderungen und deren Auswirkungen analysierenEin AI Agent kann bestimmen, welche Dateien durch eine spezifische Code-Modifikation beeinflusst werden könnten.
- 2Komplexe Symbol-Strukturen navigierenEin Entwickler kann eine Symbol-Definition, den dazugehörigen Quellcode und dessen Referenzen in einer einzigen Anfrage abrufen.
- 3Unbekannte Repositories explorierenEin Agent kann eine neue Codebase kartieren, um relevante Abschnitte für eine bestimmte Aufgabe zu finden.
- 4Lokale semantische Suchen durchführenNutzer können mittels semantischer Such-Tools unter Verwendung von natürlicher Sprache nach Code suchen.
Geschrieben aus dem README des Projekts. Jeder Use Case wurde gegen ein Zitat daraus geprüft.
So installierst du Attocode Code Intelligence MCP
Formate geprüft am 10. Nov. 2026Zu Cursor hinzufügenZu Goose hinzufügenAttocode Code Intelligence MCP in Claude Code installieren
$ claude mcp add attocode-code-intel -- uvx attocode-code-intelAttocode Code Intelligence MCP in Cursor installieren
~/.cursor/mcp.json
{
"mcpServers": {
"attocode-code-intel": {
"command": "uvx",
"args": [
"attocode-code-intel"
]
}
}
}Attocode Code Intelligence MCP in VS Code installieren
.vscode/mcp.json
{
"servers": {
"attocode-code-intel": {
"type": "stdio",
"command": "uvx",
"args": [
"attocode-code-intel"
]
}
}
}Attocode Code Intelligence MCP in VS Code CLI installieren
$ code --add-mcp '{"name":"attocode-code-intel","type":"stdio","command":"uvx","args":["attocode-code-intel"]}'Attocode Code Intelligence MCP in Claude Desktop installieren
claude_desktop_config.json
{
"mcpServers": {
"attocode-code-intel": {
"command": "uvx",
"args": [
"attocode-code-intel"
]
}
}
}Attocode Code Intelligence MCP in Codex installieren
$ codex mcp add attocode-code-intel -- uvx attocode-code-intelAttocode Code Intelligence MCP in Codex config.toml installieren
~/.codex/config.toml
[mcp_servers.attocode-code-intel] command = "uvx" args = ["attocode-code-intel"]
Attocode Code Intelligence MCP in Gemini CLI installieren
$ gemini mcp add -s user attocode-code-intel uvx -- attocode-code-intelAttocode Code Intelligence MCP in Gemini settings.json installieren
~/.gemini/settings.json
{
"mcpServers": {
"attocode-code-intel": {
"command": "uvx",
"args": [
"attocode-code-intel"
]
}
}
}Automatisierte Checks
Geluften am 13. Nov. 2026Vollständiger Bericht →Unsere automatisierten Checks bestanden. Das ist kein Security-Audit: Lies den Code und gib dem Server nur den minimal notwendigen Zugriff. Wie die Checks funktionieren
- Source Repository verknüpft und erreichbarBestanden
- Open Source Lizenz (OSI)Bestanden
- Commit oder Release im letzten JahrBestanden
- Package-Name ähnelt keinem populären PackageBestanden
- Remote Endpoint nutzt HTTPSNicht geprüft
- Destruktive Tools sind markiertNicht geprüft
- Keine versteckten Anweisungen an das ModellBestanden
- Keine kritischen Advisories im Paket oder seinen AbhängigkeitenBestanden
README
Auf GitHub ansehenattocode-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 <target>. 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 0.1.33 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.
Commands for people
Run these in your project:
attocode-code-intel query "parse config" # search the code with its own words
attocode-code-intel symbols src/app.py # the symbols of a file
attocode-code-intel symbols --search greet # find a symbol by name
attocode-code-intel impact src/app.py # the files that a change can affect
attocode-code-intel deps src/app.py # what a file imports, and what imports it
attocode-code-intel hotspots # the files with the most risk or complexity
Search matches the words of the code and its paths. It does not use embeddings unless you install the semantic extra.
What we measured
- Search. We ran the 560 issues of Loc-Bench V1, with the full issue as the query. For 53.2% of them, the first five files held all files of the fix (file Acc@5 0.532). On a mix of 10 public benchmarks, file Acc@5 was 0.425. See the first-stage results and the matrix results.
- Agents. In four studies, Claude Code (Sonnet 5.5) named the files to edit for an issue. The server did not raise file Acc@5. Each run with the server cost 1.4 to 2.1 times as much. When the agent could choose, it seldom called the server. See the agent pilot and study R3.
The R6 review study found no demonstrated review benefit. The completed R7 repair pilot also found no demonstrated benefit; its reviewed decision is to stop expansion. The 2026-10-22 investigation pilot stopped incomplete after its first task pair because structured-output/tool calls failed the frozen protocol. It provides no quality, cost or time benefit evidence.
Limits and troubleshooting
- First search. The first tool call starts the index build. A search waits up to 15 seconds for the index. On a large repository, a search can report that the index is warming. Then search again. An empty result during warm-up does not prove that the code is absent.
- Index location. The index is in
.attocode/in your project. When the server makes that folder, it adds a.gitignore, so the index stays out of commits. - What the index reads. By default the server discovers at most 50,000 eligible files and skips files over 1 MB. From 0.1.22, the discovery budget setting allows an explicit limit up to 100,000; the selected index can be smaller under its independent file limit. It skips files that
.gitignoreignores, and folders that start with a dot. It also skips folders nameddist,build,out,output,target,env,tmp,vendororcoverage, and binary, media and lock files. If a build-named folder contains real source, explicitly re-include it with a root.gitignoreentry such as!dist/; discovery and edit refresh honor that override. - Languages. The base install parses Bash, C, C#, C++, CSS, Elixir, Go, HCL, HTML, Java, JavaScript, JSON, Kotlin, Lua, PHP, Python, Ruby, Rust, Scala, Swift, TOML, TypeScript, YAML and Zig. Optional grammars are loaded only when already installed or cached; installing the
tree-sitter-allextra does not trigger grammar downloads during navigation. A slow grammar falls back after a 100 ms parse budget. Static imports and references are partial evidence, not compiler/type resolution. - Degraded parsing (development builds). Selecting a missing definition in
a file with a recorded native parse failure permits one bounded retry for
that source/parser generation. A failed retry reports partial evidence and
an
attocode-code-intel notifycommand to queue a file refresh. Empty results and ordinary syntax errors do not trigger this recovery. - Test paths. Search and test suggestions recognize conventional test folders and filenames, plus supported Kotlin/Android source sets directly under
src(for examplecommonTest,jvmTest,androidHostTestandandroidDeviceTest). Helpers in those sets count as test code even without a test filename. Custom target or flavor names are not inferred from aTestsuffix alone. Short queries explicitly asking for tests put recognized test files first, preserving order within each group; longer issue descriptions keep source-first behavior. Suggestions can include helpers; verify the actual runnable tests. - Remove the setup. Run
attocode-code-intel init --remove. It restores an entry that existed beforeinit. - Server does not answer. Run
attocode-code-intel doctor. If a client shows "not configured", runinitfor it. After a change, restart the agent. In Claude Code,/mcpshows the server state. - HTTP server.
attocode-code-intel --transport httpneeds thehttpextra. It serves only this computer unless you setATTOCODE_API_KEY.
For one installation for all repositories, use init --global. A global server works on the repository of its working directory, or on the workspace that a tool call names.
Teams and remote agents
Self-hosting and migration covers PostgreSQL, Redis, workers, authentication, and the dashboard. The service serves native Streamable HTTP MCP at /mcp/. The dashboard provides connection snippets and knowledge editing.
attocode-code-intel init --client all --server https://intel.example.com --repo REPOSITORY_UUID
attocode-code-intel doctor --client codex --remote
Set ATTOCODE_API_KEY in the agent's environment. Use intelligence:read for analysis and add intelligence:write for knowledge changes. Every repository operation checks membership and scope before using cached analysis. Results identify repository, source, commit, index coverage, and truncation. PostgreSQL stores shared knowledge with authorship, revision, and file anchors.
Local and remote entries coexist. Remote calls analyze committed branches or explicit revisions. Local edits remain local. To copy a particular learning to your team, review and run an explicit share:
attocode-code-intel share --project . --learning 12 --server https://intel.example.com --repo REPOSITORY_UUID --dry-run
attocode-code-intel share --project . --learning 12 --server https://intel.example.com --repo REPOSITORY_UUID
cross_repo_search searches explicitly selected authorized repositories and retains provenance on each result.
Development
The package is in packages/code-intel of the attocode repository.
uv sync --extra dev --extra code-intel
uv run pytest -c packages/code-intel/pyproject.toml --confcutdir=packages/code-intel/tests packages/code-intel/tests
uv build --package attocode-code-intel
For routine work, use .venv/bin/python -m eval.quality quick (two minutes)
or local (ten minutes). They isolate scratch and caches in a monitored 5 GiB
workspace and report incomplete runs separately from passes. The
quality guide covers pinned multi-language
workflow checks, storage inventory, cleanup and optional CPU cloud batches.
Releases use intel-v* tags (release guide).
Product and operations guide · Tool catalog · Search details · Changelog · MIT license
Attocode Code Intelligence MCP Fragen
Wie füge ich Attocode Code Intelligence MCP zu Claude Code hinzu?
Führe claude mcp add attocode-code-intel -- uvx attocode-code-intel in deinem Terminal aus. Füge --scope user hinzu, damit der Server in jedem Projekt verfügbar ist.
Wie füge ich Attocode Code Intelligence MCP zu Cursor hinzu?
Öffne ~/.cursor/mcp.json und füge den Server unter mcpServers hinzu, mit der Cursor-Config aus dem Installationsabschnitt oben.
Benötigt dieser Server einen API-Key oder ein LLM?
Nein, er läuft lokal und benötigt weder ein Modell noch einen API-Key.
Welche Tools stehen für Coding Agents zur Verfügung?
Das Daily-Profil bietet 16 Tools, darunter semantische Suche, Symbol-Inspection, Call Graphs, Impact Analysis und Projekt-Zusammenfassungen.