aptu-coder: MCP server for AST analysis, call graphs, and code structure (tree-sitter)
- ✓Open-source license (Apache-2.0)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
git clone https://github.com/clouatre-labs/aptu-coder{
"mcpServers": {
"aptu-coder": {
"command": "aptu-coder"
}
}
}MCP Servers overview
<p align="center">
<h1 align="center">aptu-coder</h1>
<p align="center">
<a href="https://crates.io/crates/aptu-coder"><img alt="crates.io" src="https://img.shields.io/crates/v/aptu-coder.svg?style=for-the-badge&color=fc8d62&logo=rust" height="20"></a>
<a href="https://slsa.dev"><img alt="SLSA Level 3" src="https://img.shields.io/badge/SLSA-Level%203-green?style=for-the-badge" height="20"></a>
<a href="https://www.bestpractices.dev/projects/12275"><img alt="OpenSSF Best Practices" src="https://img.shields.io/cii/level/12275?style=for-the-badge" height="20"></a>
</p>
<p align="center">Standalone MCP server for code structure analysis using tree-sitter. OpenSSF silver certified: fewer than 1% of open source projects reach this level.</p>
<!-- mcp-name: io.github.clouatre-labs/aptu-coder -->
> [!NOTE]
> Native agent tools (regex search, path matching, file reading) handle targeted lookups well. `aptu-coder` handles the mechanical, non-AI work: mapping directory structure, extracting symbols, and tracing call graphs. Offloading this to a dedicated tool reduces token usage and speeds up coding with better accuracy.
## Benchmarks
Auth migration task on Claude Code against [Django](https://github.com/django/django) (Python) source tree. [Full methodology](https://github.com/clouatre-labs/aptu-coder/blob/main/docs/benchmarks/v12/methodology.md).
| Mode | Sonnet 4.6 | Haiku 4.5 |
|---|---|---|
| MCP | 112k tokens, $0.39 | 406k tokens, $0.42 |
| Native | 276k tokens, $0.95 | 473k tokens, $0.53 |
| **Savings** | **59% fewer tokens, 59% cheaper** | **14% fewer tokens, 21% cheaper** |
AeroDyn integration audit task on Claude Code against [OpenFAST](https://github.com/OpenFAST/openfast) (Fortran) source tree. [Full methodology](https://github.com/clouatre-labs/aptu-coder/blob/main/docs/benchmarks/v13/methodology.md).
| Mode | Sonnet 4.6 | Haiku 4.5 |
|---|---|---|
| MCP | 472k tokens, $1.65 | 687k tokens, $0.72 |
| Native | 877k tokens, $2.85 | 2162k tokens, $2.21 |
| **Savings** | **46% fewer tokens, 42% cheaper** | **68% fewer tokens, 68% cheaper** |
## Overview
aptu-coder is a Model Context Protocol server that gives AI agents precise structural context about a codebase: directory trees, symbol definitions, and call graphs, without reading raw files. It supports 18 languages (see [Supported Languages](#supported-languages)) and integrates with any MCP-compatible orchestrator.
## Supported Languages
All languages are enabled by default. Disable individual languages at compile time via Cargo feature flags.
| Language | Extensions | Feature flag |
|----------|------------|--------------|
| Astro | `.astro` | always-on (regex via TypeScript frontmatter extractor) |
| C/C++ | `.c`, `.cc`, `.cpp`, `.cxx`, `.h`, `.hpp`, `.hxx` | `lang-cpp` |
| C# | `.cs` | `lang-csharp` |
| CSS | `.css` | `lang-css` (tree-sitter; regex fallback when disabled) |
| Fortran | `.f`, `.f77`, `.f90`, `.f95`, `.f03`, `.f08`, `.for`, `.ftn` | `lang-fortran` |
| Go | `.go` | `lang-go` |
| HTML | `.html`, `.htm` | `lang-html` (stub; no extraction) |
| Java | `.java` | `lang-java` |
| JavaScript | `.js`, `.mjs`, `.cjs` | `lang-javascript` |
| JSON | `.json` | always-on (regex; first-level key extraction) |
| Kotlin | `.kt`, `.kts` | `lang-kotlin` |
| Markdown | `.md`, `.mdx` | `lang-markdown` |
| Python | `.py` | `lang-python` |
| Rust | `.rs` | `lang-rust` |
| TOML | `.toml` | always-on (regex; section header extraction) |
| TSX | `.tsx` | `lang-tsx` |
| TypeScript | `.ts` | `lang-typescript` |
| YAML | `.yaml`, `.yml` | `lang-yaml` (tree-sitter; regex fallback when disabled) |
## Installation
### Homebrew (macOS and Linux)
```bash
brew install clouatre-labs/tap/aptu-coder
```
Update: `brew upgrade aptu-coder`
### cargo-binstall (no Rust required)
```bash
cargo binstall aptu-coder
```
### cargo install (requires Rust toolchain)
```bash
cargo install aptu-coder
```
## Quick Start
### Build from source
```bash
cargo build --release
```
The binary is at `target/release/aptu-coder`.
### Configure MCP Client
Two transports are available. **Streamable HTTP is recommended** when using orchestrators that spawn delegates (e.g. goose coder): a single server process is shared across the orchestrator and all agents, eliminating extension-drift that occurs when each stdio subprocess gets its own isolated instance.
**Streamable HTTP (recommended for multi-agent setups)**
With Homebrew, one command starts the server on login and keeps it running:
```bash
brew services start aptu-coder
```
The Homebrew formula starts the server on port `49200` by default. Then add the extension once to `~/.config/goose/config.yaml`:
```yaml
extensions:
aptu-coder:
type: streamable_http
uri: http://127.0.0.1:49200/mcp
name: aptu-coder
timeout: 300
```
Or for Claude Code:
```bash
claude mcp add --transport http aptu-coder http://127.0.0.1:49200/mcp
```
To use a different port, set `APTU_CODER_PORT` before restarting:
```bash
APTU_CODER_PORT=4000 brew services restart aptu-coder
```
To start directly without brew services:
```bash
aptu-coder --port 49200
# or equivalently
APTU_CODER_PORT=49200 aptu-coder
```
**stdio (single-client use)**
Suitable when only one process needs the server. The client owns the process lifecycle and spawns it automatically:
```bash
claude mcp add --transport stdio aptu-coder -- aptu-coder
```
Or add manually to `.mcp.json` at your project root (shared with your team via version control):
```json
{
"mcpServers": {
"aptu-coder": {
"command": "aptu-coder",
"args": []
}
}
}
```
## Tools
All optional parameters may be omitted. Shared optional parameters for `analyze_directory`, `analyze_file`, and `analyze_symbol`:
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `summary` | boolean | auto | Compact output; auto-triggers above 50K chars |
| `cursor` | string | -- | Pagination cursor from a previous response's `next_cursor` |
| `page_size` | integer | 100 | Items per page |
| Tool | Purpose | Languages |
|------|---------|-----------|
| `analyze_directory` | Directory tree with LOC, function, and class counts; respects `.gitignore` | all |
| `analyze_file` | Functions, classes, and imports with signatures and line ranges; returns graceful fallback (line count, file head, no AST) for unsupported extensions | all |
| `analyze_module` | Lightweight function and import index (~75% smaller than `analyze_file`); returns graceful fallback (empty index with note) for unsupported extensions | all |
| `analyze_symbol` | Call graph for a named symbol across a directory; callers, callees, call depth | all |
| `edit_overwrite` | Create or overwrite a file; creates parent directories | any file |
| `edit_replace` | Replace a unique exact text block or all non-overlapping occurrences (replace_all=true); errors if zero or multiple matches; empty `new_text` deletes the block; CRLF normalized before matching; returns occurrences_replaced count | all |
| `exec_command` | Run a shell command; returns stdout, stderr, exit code; output capped and filtered; optional `timeout_secs` (kill on expiry) and `drain_timeout_secs` (post-exit drain window); heredoc rejected before spawn (file-write pattern, stdin-consuming flag, stdin parameter conflict, or missing closing delimiter) | any |
Tool parameters, constraints, and examples are available via your MCP client's tool inspector or `tools/list` response.
## Output Management
For large codebases, several mechanisms prevent context overflow.
**Pagination**
`analyze_file` and `analyze_symbol` append a `NEXT_CURSOR:` line when output is truncated. Pass the token back as `cursor` to fetch the next page. `summary=true` and `cursor` are mutually exclusive; passing both returns an error.
```
# Response ends with:
NEXT_CURSOR: eyJvZmZzZXQiOjUwfQ==
# Fetch next page:
analyze_symbol path: /my/project symbol: my_function cursor: eyJvZmZzZXQiOjUwfQ==
```
**exec_command output caps**
`exec_command` applies three independent byte-level caps to prevent large command outputs from flooding the context:
| Stream | Cap | Behavior |
|--------|-----|----------|
| stdout | 30,000 chars | Tail-preserving; keeps the last 30k chars |
| stderr | 10,000 chars | Tail-preserving; errors appear at the end |
| combined `output_text` | 50,000 chars | Safety net after interleaving |
The 30k stdout cap is data-driven: analysis of 27,981 observed `exec_command` calls shows only 0.33% exceed this limit. When any cap fires, `output_truncated: true` is set in the response and recorded in the JSONL metrics.
`drain_timeout_secs` controls how long the server waits after the child exits for any background subprocess still holding the pipe open. Default is 500 ms (0 or omitted). Negative values return INVALID_PARAMS. When the drain window expires before the pipe closes, `output_truncated: true` is set.
**exec_command output filters**
A built-in filter table suppresses per-file noise from chatty CLI tools before output reaches the model. Filters apply to stdout, stderr, and interleaved output on success only; raw output is always preserved on failure.
| Command | Behavior |
|---------|----------|
| `git pull` | Strips diff-stat noise (pipe bars, `create mode`, `delete mode`, `rename`, `mode change` lines); empty output replaced with `ok (up-to-date)` |
| `git fetch` | Strips `From` and ref-range lines; caps at 10 lines; empty output replaced with `ok fetched` |
| `git push` | Strips `remote:` progress lines and `To ` destination lines; caps at 10 lines; empty output replaced with `ok pushed` |
| `git log` | Caps at 20 lines |
| `git status` | Caps at 20 lines |
| `git show` | Strips patch hunks (`@@` headers and `+`/`-` diff lines); caps at 200 lines |
| `git commit` | Strips GPG signing and gitleaks hook output; caps at 10 lines; empty output replaced with `ok committed` |
| `git diff` | Strips ANSI escape sequences; caps at 100 lines;What people ask about aptu-coder
What is clouatre-labs/aptu-coder?
+
clouatre-labs/aptu-coder is mcp servers for the Claude AI ecosystem. aptu-coder: MCP server for AST analysis, call graphs, and code structure (tree-sitter) It has 5 GitHub stars and was last updated today.
How do I install aptu-coder?
+
You can install aptu-coder by cloning the repository (https://github.com/clouatre-labs/aptu-coder) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is clouatre-labs/aptu-coder safe to use?
+
Our security agent has analyzed clouatre-labs/aptu-coder and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.
Who maintains clouatre-labs/aptu-coder?
+
clouatre-labs/aptu-coder is maintained by clouatre-labs. The last recorded GitHub activity is from today, with 12 open issues.
Are there alternatives to aptu-coder?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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