tree-sitter-analyzer
# ๐ณ Tree-sitter Analyzer
**English** | **[ๆฅๆฌ่ช](README_ja.md)** | **[็ฎไฝไธญๆ](README_zh.md)**
[](https://pypi.org/project/tree-sitter-analyzer/) [](https://python.org) [](LICENSE) [](https://codecov.io/gh/aimasteracc/tree-sitter-analyzer) [](https://github.com/aimasteracc/tree-sitter-analyzer) [](#supported-agents)
**Code intelligence AI agents can trust** โ correct cross-language structure across the [supported language inventory](#supported-languages), agent-native (MCP + CLI).
TSA indexes your codebase with tree-sitter and serves correct call graphs, symbol search, and structural queries to AI coding agents โ locally, with no telemetry.
**Why it's different:**
* **Cross-language bindings are gated by language family.** A name match alone does not create a cross-language edge, and the gates that enforce this are executable tests rather than a convention.
* **Built agent-native.** 8 MCP tools provide structured JSON output and verdict envelopes, with CLI access and curated workflows.
* **Broad and correctly classified.** The [generated support-depth inventory](#supported-languages) distinguishes pipeline evidence from unverified cross-file behavior.
> Upgrading from v1.x? See [docs/MIGRATION.md](docs/MIGRATION.md).
---
## Get Started
> **Requires Python 3.10+** (check: `python3 --version`). Install from [python.org](https://www.python.org/downloads/) if needed.
### Automated install (recommended)
```bash
curl -fsSL https://raw.githubusercontent.com/aimasteracc/tree-sitter-analyzer/main/install.sh | bash
```
Auto-installs `uv` if missing, detects Claude Desktop / Claude Code / Cursor / VS Code, and writes the MCP entry. Run `tree-sitter-analyzer --doctor` to verify.
> **Bootstrap trust:** for convenience, the command above downloads and executes the official `uv` installer when `uv` is missing or outdated. That installer is mutable and **not content-bound**; TSA warns before downloading it to a temporary file over TLS and performs a strict post-install version check. To avoid this unverified bootstrap, install `uv >= 0.11.0` manually first, or use the secure opt-out (which exits with manual-install instructions when bootstrap is needed):
> ```bash
> curl -fsSL https://raw.githubusercontent.com/aimasteracc/tree-sitter-analyzer/main/install.sh \
> | TSA_DISABLE_UNVERIFIED_UV_BOOTSTRAP=1 bash
> ```
Install command for **Claude Code**:
```bash
claude mcp add tree-sitter-analyzer \
--env TREE_SITTER_PROJECT_ROOT="$PWD" \
-- uvx --from "tree-sitter-analyzer[mcp]" tree-sitter-analyzer-mcp
```
Restart your agent, then say: *"Run the `index` tool with action=status."*
CLI equivalent (no agent needed): `tree-sitter-analyzer --codegraph-status`
> **PyPI / uvx users โ install skills:** the `tsa-*` skills are bundled in the wheel. Copy them once with:
> ```bash
> tree-sitter-analyzer --install-skills # into ./.claude/skills/ (this project)
> tree-sitter-analyzer --install-skills-global # into ~/.claude/skills/ (all projects)
> ```
> Git-clone users already have them under `.claude/skills/` โ no action needed.
[Other agents (Cursor, Copilot, Cline, Continue, Claude Desktop, Roo Code) โ](#supported-agents)
### Quick install
#### 1. Install dependencies
```bash
# uv (required). This official convenience installer is mutable/not content-bound;
# see https://docs.astral.sh/uv/ for alternative manual installation methods.
curl -LsSf https://astral.sh/uv/install.sh | sh # macOS / Linux
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" # Windows
```
#### 2. Install Tree-sitter Analyzer
```bash
# Standalone install (persistent CLI command):
uv tool install "tree-sitter-analyzer[all,mcp]"
# โ or skip installing entirely: the MCP entry below runs via uvx on demand.
# Inside a uv-managed Python project, use: uv add "tree-sitter-analyzer[all,mcp]"
```
#### 3. Hook it into your agent
See **[Supported Agents](#supported-agents)**. Most clients want this MCP server entry:
```json
{
"mcpServers": {
"tree-sitter-analyzer": {
"command": "uvx",
"args": ["--from", "tree-sitter-analyzer[mcp]", "tree-sitter-analyzer-mcp"],
"env": { "TREE_SITTER_PROJECT_ROOT": "/absolute/path/to/your/project" }
}
}
}
```
After restart: *"Run the `index` tool with action=status."*
CLI equivalent (no agent needed): `tree-sitter-analyzer --codegraph-status`
**Check resolver behavior on your own repository** โ no install required:
```bash
uvx --from tree-sitter-analyzer miswire-audit .
```
It reports possible cross-language name collisions so you can inspect resolver behavior on your own repository. Results are diagnostic, not a competitive benchmark claim.
---
## Why Tree-sitter Analyzer
* **Structured output.** MCP responses use standard JSON envelopes; payload behavior is guarded by response contract tests.
* **Verdict envelopes.** Every response carries `verdict: SAFE | CAUTION | UNSAFE | INFO | REVIEW | WARN | ERROR | NOT_FOUND`, so orchestrators branch on outcomes without re-prompting.
* **Project health grading (AโF).** TSA grades projects across size, complexity, coverage, duplication, dependencies, structure, and git hotspots.
* **Curated workflows (Skills).** Pre-baked tool subsets for "find symbol", "trace call chain", "assess health", "safe-to-edit before refactor", "PR review", etc.
* **Layered safety.** `edit action=safe` + `edit action=guard` + constraint DSL + `edit action=impact` + verdict envelopes โ designed so agents *know* before they touch.
* **Agents and shells share a query surface.** The analysis primitives and the unified query DSL are available to both.
---
## Key Features
### Pre-indexed code intelligence
An agent's cost is dominated by turns, not by the size of each reply: every extra
tool call re-sends the whole conversation. TSA is built so that a question is
answered by a call whose response already carries the evidence needed to stop
asking.
| Question | TSA tool | What the response carries |
|---|---|---|
| Where is this symbol, and what refers to it? | `nav` action=navigate | definition site, references, and call hierarchy together |
| What breaks if I change this? | `nav` action=impact | transitive dependents with a risk verdict |
| Who calls this, and what does it call? | `nav` action=callers / action=callees | resolved call sites, and the sites resolution could not resolve |
| Find a symbol by name | `search` action=symbol | relevance-ranked matches (FTS5 + BM25) |
| Fetch related symbols with their relationship map | `structure` action=explore | the requested symbols and how they connect |
| Is the index usable right now? | `index` action=status | coverage, staleness, and edge count |
| Build or refresh the call graph | `index` action=auto / action=full / action=sync | index state after the run |
| Which tests does this change touch? | `--affected FILE...` (CLI) | transitively affected tests |
### Capabilities beyond code navigation
| Capability | TSA tool | Note |
|---|---|---|
| **BM25-ranked symbol search** | all search tools | min-max normalized relevance_score on every result; sort(by='confidence') in DSL |
| **Semantic search (BM25 pre-filtered)** | `search` action=chain (`semantic()` DSL) | lexical pre-filter before cosine rerank |
| **Project AโF health grading** | `health` action=project | combines size, complexity, dependencies, coverage, duplication, structure, and git hotspots |
| **JSON output** | every tool, `output_format: "json"` (default) | standard structured response envelopes |
| **Verdict envelopes** | every tool | `SAFE/CAUTION/UNSAFE/INFO/WARN/ERROR/NOT_FOUND` |
| **Safe-to-edit gate** | `edit` action=safe / action=guard | refuses high-risk edits before they happen |
| **Architectural constraint DSL** | `edit` action=constraints | "module A cannot import B" โ enforced |
| **Code health (file-level)** | `health` action=file | block/long-method/smell detection |
| **Class hierarchy** | `structure` action=class_tree | type-inheritance tree |
| **Dependency matrix** | `health` action=matrix | module-coupling matrix |
| **Dead code** | `health` action=dead | transitive unreachable analysis |
| **Complexity heatmap** | `health` action=heatmap | per-fn cyclomatic + project view |
| **AST-structural clone detection** | `viz` action=similarity | structural clones rather than text matches |
| **Mermaid call-graph export** | `viz` action=graph | paste-ready in docs |
| **UML Mermaid export** | `viz` action=uml | class / package / component / sequence diagrams |
| **PR review** | `edit` action=pr | AST-diff + semantic classify + blast radius |
| **agent_summary** | every response | next-step hint baked into the envelope |
| **Synapse cross-file resolver** | internal | import-aware name resolution across files |
| **Temporal activation** | `nav` action=lineage | per-symbol git-modification frequency |
| **File orientation** | `project` action=smart | health + exports + deps + edit-risk in a combined response |
| **Architectural decision journal** | `project` action=journal | persists reasoning across sessions |
### Skills
TSA ships curated workflows under `.claude/skills/tsa-*/`:
`tsa-landing`, `tsa-find`, `tsa-graph`, `tsa-structure`, `tsa-deps`, `tsa-index`, `tsa-health-watch`, `tsa-edit-safety`, `tsa-edit-then-verify`, `tsa-constraints`, `tsa-pr-review`, `tsa-refactor-queue`, `tsa-temporal`.
Each skill ships an `allowed-tools` subset + procedure recipe + decision-surface schema, so the agent doesn't have to triage 8 tools on every question.
### 361 CLI flags
Highlights:
```bash
tree-sitter-analyzer --table full <file> # method/signature/complexity table
tree-sitter-analyzer --partial-read --start-line N --end-line M <file>
tree-sitter-analyzer --project-health # A-F grade across the project
# Note: --callers / --callees require the call-graph index โ run --full-index first
tree-sitter-analyzer --full-index # build call-graph index (run once)
tree-sitter-analyzer --callers <symbol> # who-calls
tree-sitter-analyzer --codegraph-impact <fn> # blast radius + risk
tree-sitter-analyzer --affected <file...> # tests transitively affected
tree-sitter-analyzer --dead-code # transitive unreachable
tree-sitter-analyzer --check-constraints # architectural rules
tree-sitter-analyzer --safe-to-edit <file> # refuse if risky
tree-sitter-analyzer --uml class # Mermaid UML class diagram
```
TSA performs indexed code search and live source verification in process. No ripgrep or fd installation is required.
`search-content` and `find-and-grep` have been removed on develop. See the
[migration guide](docs/MIGRATION.md) and [`CLI codemap`](docs/CODEMAPS/cli.md).
---
## Quantitative claim governance
Public benchmark, performance, or competitive numbers are emitted only from the
provenance-bound registry in
[`benchmarks/codegraph_compare/claim_registry.json`](benchmarks/codegraph_compare/claim_registry.json).
E4 evidence must bind exact tool names and versions, measurements, corpus,
benchmark date/version, and an artifact digest. Evidence below E4 remains
internal and cannot emit wording. See the [benchmark runbook](benchmarks/codegraph_compare/README.md).
<!-- BEGIN GENERATED QUANTITATIVE CLAIMS -->
<!-- END GENERATED QUANTITATIVE CLAIMS -->
The absence of a generated item means that no quantitative public claim is
currently authorized. Qualitative descriptions above are bounded product
capabilities, not measured superiority claims.
---
## How It Works
```
Source code โ tree-sitter parse โ SQLite + FTS5 index (.ast-cache/index.db)
โ
nav (navigate) / structure (explore) / nav (callers) / ...
โ
JSON response envelope
(verdict + agent_summary + data)
โ
MCP client / CLI consumer
```
The 8 MCP tools expose indexed queries and direct source analysis.
Build the AST index explicitly before indexed symbol/context queries with
`tree-sitter-analyzer --ast-cache --ast-cache-mode index --format json`. Refresh
it after source changes with `index` action=sync. Indexed queries reuse cached
AST data; automatic warming is specific to individual tools.
---
## Supported Agents
<details>
<summary><b>๐ Claude Code</b> (recommended)</summary>
```bash
claude mcp add tree-sitter-analyzer \
--env TREE_SITTER_PROJECT_ROOT="$PWD" \
-- uvx --from "tree-sitter-analyzer[mcp]" tree-sitter-analyzer-mcp
```
Verify: `claude mcp list`. The bundled `tsa-*` skills auto-discover from `.claude/skills/`.
**PyPI / uvx users** โ install the bundled skills once with:
```bash
tree-sitter-analyzer --install-skills # into ./.claude/skills/ (this project)
tree-sitter-analyzer --install-skills-global # into ~/.claude/skills/ (all projects)
```
Git-clone users already have them โ no action needed.
</details>
<details>
<summary><b>๐ Claude Desktop</b></summary>
Edit `claude_desktop_config.json` (macOS: `~/Library/Application Support/Claude/`, Windows: `%APPDATA%\Claude\`, Linux: `~/.config/Claude/`):
```json
{
"mcpServers": {
"tree-sitter-analyzer": {
"command": "uvx",
"args": ["--from", "tree-sitter-analyzer[mcp]", "tree-sitter-analyzer-mcp"],
"env": { "TREE_SITTER_PROJECT_ROOT": "/absolute/path/to/your/project" }
}
}
}
```
</details>
<details>
<summary><b>๐ GitHub Copilot (VS Code)</b></summary>
Create `.vscode/mcp.json` (note: `servers`, not `mcpServers`):
```json
{
"servers": {
"tree-sitter-analyzer": {
"type": "stdio",
"command": "uvx",
"args": ["--from", "tree-sitter-analyzer[mcp]", "tree-sitter-analyzer-mcp"],
"env": { "TREE_SITTER_PROJECT_ROOT": "${workspaceFolder}" }
}
}
}
```
</details>
<details>
<summary><b>๐ฑ Cursor / Cline / Continue / Roo Code</b></summary>
All read the same `mcpServers` schema as Claude Desktop. Cursor: **Settings โ MCP**. Cline: MCP panel โ Edit settings. Continue: `~/.continue/config.json` under `experimental.modelContextProtocolServers`. Roo Code: MCP panel โ Edit MCP Settings.
</details>
<details>
<summary><b>๐ณ Docker</b> (no local Python / uv)</summary>
The repo ships a [`Dockerfile`](Dockerfile) that builds the MCP server (stdio transport) from source, so the image always matches the committed code.
```bash
# Build once
docker build -t tree-sitter-analyzer-mcp .
# Run against the current repo (server speaks MCP over stdio; -i keeps stdin open)
docker run --rm -i --user "$(id -u):$(id -g)" \
-v "$PWD:/work" -w /work tree-sitter-analyzer-mcp
```
`--user "$(id -u):$(id -g)"` runs as your host UID/GID, so the `.ast-cache/`, decision journal, and any `edit` writes under the bind-mounted repo are owned by you, not root.
MCP client config (the project root inside the container is the mount point `/work`):
```json
{
"mcpServers": {
"tree-sitter-analyzer": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"--user", "1000:1000",
"-v", "/absolute/path/to/your/project:/work",
"-w", "/work",
"-e", "TREE_SITTER_PROJECT_ROOT=/work",
"tree-sitter-analyzer-mcp"
]
}
}
}
```
</details>
> โ ๏ธ `TREE_SITTER_PROJECT_ROOT` must be **absolute**. The server enforces a security boundary against escapes via `SecurityValidator`.
---
## Supported Languages
<!-- BEGIN GENERATED LANGUAGE SUPPORT INVENTORY -->
Generated from runtime registries; see [`docs/CODEMAPS/languages.md`](docs/CODEMAPS/languages.md) for the full capability matrix. **22 plugins**: 13 pipeline-registered, 3 index-admitted, 0 call-dispatch-only, 5 data/markup, 1 scaffold. `pipeline_registered` is registration evidence, not positive cross-file binding proof.
`pipeline_registered`: C, C++, C#, Go, Java, JavaScript, Kotlin, PHP, Python, Ruby, Rust, Swift, TypeScript | `index_admitted`: Bash, Lua, Scala | `call_dispatch_only`: | `data_markup`: CSS, HTML, Markdown, SQL, YAML | `scaffold`: JSON
<!-- END GENERATED LANGUAGE SUPPORT INVENTORY -->
## Configuration
Mostly nothing. The defaults are designed so you can hook it into your agent and forget:
* **Output format**: JSON. The `output_format: "json"` parameter is retained for explicitness.
* **Project root**: `TREE_SITTER_PROJECT_ROOT` (env var, MCP) or `--project-root` (CLI).
* **Cache location**: `<project>/.ast-cache/`. Safe to delete โ auto-rebuilds.
* **Optional**: `TREE_SITTER_OUTPUT_PATH` for large-output write target.
---
## Quality & Testing
| Metric | Value |
|---|---|
| Test suite | `uv run pytest tests/` โ the count is whatever the current tree collects; CI owns the signal |
| Coverage | [](https://codecov.io/gh/aimasteracc/tree-sitter-analyzer) |
| Type safety | mypy |
| Platforms | macOS ยท Linux ยท Windows for ordinary operations; snapshot evidence has the narrower scope above |
| Pre-commit gates | ruff ยท bandit ยท mypy ยท pyupgrade ยท detect-secrets ยท tsa-codemap-sync |
```bash
uv run pytest -q # bounded local quick gate
uv run pytest tests/ -q --timeout=120 -m "not e2e and not network and not benchmark" # comprehensive local suite
PYTEST_XDIST_AUTO_NUM_WORKERS=1 uv run pytest -q --maxfail=1 # quick gate, one worker (lower CPU load)
PYTEST_XDIST_AUTO_NUM_WORKERS=2 uv run pytest -q --maxfail=1 # quick gate, two workers (balanced)
uv run pytest --lf --maxfail=1 # rerun only failed tests from last run
uv run python check_quality.py --new-code-only # quality gate
```
---
## Troubleshooting
| Symptom | Fix |
|---|---|
| `unsupported language` on `.swift / .kt / .rb / .php / .cs` | Update to a current supported release โ the missing-language gap was patched in commit `50e99a8f`. Grammar modules for extras-gated languages are not bundled in the base install; run `pip install "tree-sitter-analyzer[swift]"` (or `kotlin`, `ruby`, `php`, `csharp`) to add them. |
| MCP server doesn't appear in client | `TREE_SITTER_PROJECT_ROOT` must be an **absolute path** (e.g. `$(pwd)` or `/home/user/project`); a relative path causes the server to resolve against the wrong directory. Restart the client after editing. Run `tree-sitter-analyzer --doctor` to verify. |
| `database is locked` | Stop any other process holding `.ast-cache/index.db`; if persistent, `rm -rf .ast-cache && tree-sitter-analyzer --full-index`. |
| Slow first call or missing index | Some tools warm the index automatically. Run `--full-index` upfront before indexed queries. |
| Agent picks the wrong tool | Use a `tsa-*` skill (`/tsa-graph`, `/tsa-find`, ...) โ each skill restricts the visible tool set to its dedicated workflow. |
---
## Development
```bash
git clone https://github.com/aimasteracc/tree-sitter-analyzer.git
cd tree-sitter-analyzer
uv sync --extra all --extra mcp
uv run pytest -q # quick gate (bounded)
```
See **[`docs/CONTRIBUTING.md`](docs/CONTRIBUTING.md)** for the development guide.
---
## Boundaries and Known Limits
Scope statements that would otherwise read as marketing. They are collected here so the install path above is not interrupted by them.
### Response Size And Parameter Names
`nav action=navigate` inlines the body of every definition it matches and reports no truncation. A symbol name shared by classes in multiple files therefore returns the entire reference set in the same response. Use `search action=symbol` to disambiguate first, or `nav action=callers` / `action=callees`, which honor `limit` and set `truncated`.
`symbol` and `function_name` are both accepted by `callers`, `callees`, and `impact`. `navigate` and `lineage` require `symbol`; passing `function_name` to them raises instead of returning a verdict envelope.
### Platform Scope Of Snapshot Evidence
Ordinary file analysis, index creation/update, and legacy index-backed queries are
separate from certified snapshot access. Their existing Windows operational paths
do not require the new private WAL snapshot kernel. They may create or update the
cache; certified read-only access has a separate contract.
The snapshot implementation adds **POSIX-only private database/WAL evidence capture**, requiring
descriptor-relative operations, `O_NOFOLLOW`, a safe external temporary directory,
and successful source/manifest/projection checks. It does **not** deliver Windows
read-only snapshot parity or extend the existing qualification gate for explicit
`access_mode="read_existing"` consumers.
Windows snapshot certification was already unavailable in the develop baseline
(`SECURE_FD_SNAPSHOT_UNSUPPORTED`). It remains unavailable in this implementation
(`WAL_PRIVATE_SNAPSHOT_UNSUPPORTED`, `completeness="unknown"`, no snapshot token).
This is not a statement that the physical index is empty or that ordinary queries
are disabled. Native Windows qualification for the new capture path has not been
performed; a local capability test is not a substitute for it.
The per-file `certified_at` state is not a replacement for full snapshot authority.
`partial_at` persistent history is **not implemented or included in this PR**.
An incomplete or unverifiable projection cannot authorize a certified consumer.
### Pulse / TQL / Semantic Query
These subsystems back `nav` actions and the internal API; they are not part of the tool surface an agent configures. Their limits are stated rather than implied:
TQL temporal selectors compare modification timestamps, not modification counts.
The `tql_schema` action documents the window and the shared default for bare
`:hot` and `:recently_modified`. Depth queries retain exact definition identity
and fail explicitly when traversal limits are exceeded.
Pulse requests return snapshot-bound context. SQL reads for identity,
relationships, reverse-import context and optional cached LSP enrichment share
a savepoint without ending a caller-owned transaction. This is not a SQL
round-trip or latency guarantee.
Pulse's Python reverse-import context uses the existing module resolver; this
is not a claim of complete cross-language module resolution. Comment context
requires an index rebuilt with comment extraction. Old indexes and languages
without comment extraction return `COMMENTS_NOT_INDEXED`, rather than an empty
success; explicitly omit comment context with the documented `max_comments`
setting when it is not needed. Missing legacy commit-message projections become
`pending` for lazy refresh; `disabled` activation is preserved. Legacy NULL
activation states also become pending, without clearing old messages or counts.
Enabled cached indexing cycles continue bounded activation refresh. Pulse exposes
unavailable activation as `null`, while temporal queries reject incomplete
activation evidence. Refresh reads real Git history through bounded batches;
failed message reads retain pending work rather than claiming completion.
Semantic queries require a known stored embedding model and a consistent
dimension. Mixed or unknown models are errors, with no provider fallback.
Offline tests use model doubles; they do not certify live-provider quality.
Pulse batches retain successful entries but report failure if a target fails.
TQL treats missing or unreadable indexes as errors, distinct from a ready index
with no matches. Public request validation rejects invalid types and limits
before opening the index or invoking an embedding provider.
---
## Contributing & License
* โญ A GitHub star helps surface this tool to other AI-agent users.
* ๐ [Sponsor](https://github.com/sponsors/aimasteracc) โ supports continued MCP / Skills development.
* Lead sponsor: **[@o93](https://github.com/o93)**.
* MIT licensed โ see [LICENSE](LICENSE).
* Release history: [CHANGELOG.md](CHANGELOG.md).
TDQS
Scored across 9 tools
The facades have broadly overlapping exploration duties: search, nav, and structure all feel like code-navigation surfaces, and shared action names such as impact, overview, and knowledge appear in multiple tools. An agent would struggle to pick a tool without first querying action=help, since the boundary between facades is not clear from the names or action lists alone.
The eight codegraph facades follow a consistent lowercase single-word naming style (search, nav, structure, health, edit, project, index, viz), which is predictable across the set. The exceptions are the verb-noun set_project_path and the abbreviations nav/viz, which are minor deviations rather than a chaotic mix.
Nine tools is a well-scoped count for a code-intelligence suite: setup, indexing, searching, navigation, structural analysis, health, editing, project intelligence, and visualization each have a dedicated facade. Each tool bundles many actions but remains a single cohesive entry point, so the count feels intentional rather than excessive or thin.
The surface covers the full expected lifecycle for a code analyzer: project initialization, index management, code search, navigation, AST/structural analysis, health analysis, safe refactoring/editing, project metrics, and visualization. The edit facade even includes verification and mutation-probe actions, and health/test-gap covers quality checking, leaving no obvious dead end or missing major capability.