# Amdb

> Turn your codebase into AI context — entirely on your machine. Single-binary MCP server with AST parsing, call graph, and local embeddings.

- **Type:** MCP server
- **Install:** `agentstack add mcp-betaer-08-amdb`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [BETAER-08](https://agentstack.voostack.com/s/betaer-08)
- **Installs:** 0
- **Category:** [Databases](https://agentstack.voostack.com/c/databases)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [BETAER-08](https://github.com/BETAER-08)
- **Source:** https://github.com/BETAER-08/amdb

## Install

```sh
agentstack add mcp-betaer-08-amdb
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# amdb

  

**amdb turns your codebase into AI context — entirely on your machine.**

amdb is a zero-runtime, single-binary code context MCP server with combined graph + vector retrieval. No code leaves the machine and no Node/Python runtime is required. Built for air-gapped environments, CI containers, and regulated industries where cloud-based codebase indexing is prohibited.

## Install

```bash
cargo install amdb
```

Or download a static binary for Linux/macOS from the [Releases page](https://github.com/BETAER-08/amdb/releases) — no toolchain required.

## Quickstart

```bash
amdb init .    # index the repo: AST parse + local embeddings, incremental
amdb serve     # expose the index as an MCP server over stdio
```

Done. Prefer a file instead of a server? `amdb generate --focus "auth"` writes a targeted context file to `.amdb/`.

## Connect your editor

**VSCode / Cursor** — add `.vscode/mcp.json` to your project:

```json
{
  "servers": {
    "amdb": {
      "command": "amdb",
      "args": ["serve"]
    }
  }
}
```

**Claude Code**:

```bash
claude mcp add amdb -- amdb serve
```

The server exposes three tools, all reading from the pre-built local index:

| Tool | What it returns |
| :- | :- |
| `amdb_get_context` | Full project overview: files, symbols, and the mermaid dependency graph |
| `amdb_focus` | Context narrowed to a query via name match + semantic vector search, expanded by `depth` dependency hops |
| `amdb_get_symbol` | Every definition of a symbol name as JSON: file, kind, line, signature, callers, and callees — each callee carries its resolved file and a `resolution` value (`same-file`, `global-unique`, or `unresolved`) |

If no index exists the tools respond with an error asking you to run `amdb init` — the server never indexes on its own.

## Demo

Real session, 1.0 seconds end-to-end ([scripts/demo.sh](scripts/demo.sh)):

```console
$ amdb init .
 INFO Initializing amdb in: .
 INFO Scanning files in ....
 INFO Files: 35 unchanged, 0 changed, 0 added, 0 removed
 INFO Indexing 0 files using 12 threads...
 INFO Embedding calls: 0
 INFO Project indexed successfully at .

$ amdb serve
  MCP client calls amdb_get_symbol with {"name": "cosine_similarity"}

cosine_similarity — src/core/vector_store.rs:196
  signature:  fn cosine_similarity(a: &[f32], b: &[f32]) -> f64
  visibility: private
  called by:  search (src/core/vector_store.rs)
  calls:      iter, map, sqrt, sum, zip

Answer came from the local index. No network. No code left the machine.
```

To record the cast on a host with asciinema: `asciinema rec -c "AMDB_BIN=./target/release/amdb ./scripts/demo.sh" demo.cast`, then `agg demo.cast demo.gif`.

## Benchmarks

Measured by [`benchmark.py`](benchmark.py) against amdb's own source tree (31 files, 21,887 raw tokens). Full methodology and caveats in [benchmark.md](benchmark.md).

| Metric | Score | Meaning |
|--------|-------|---------|
| Precision targeting | 100% (28/28 indexed files) | Query = exact file stem; the file's own section comes back. A retrieval-plumbing test, not a semantic-search-quality test |
| Global efficiency | 91.5% reduction | Focus output tokens vs. a full-repo dump |
| Noise reduction | 81.7% compression | Interface tokens vs. raw tokens, top-5 largest files |
| Graph presence | 100% (28/28) | Output contains real `-->` dependency edges |

3 of 31 files are module-declaration files with no extractable symbols; they are not in the index and are excluded from the denominator, not silently counted.

## Language support

Symbols and the call graph are extracted for all 16 grammars, but `is_public` and `signature` enrichment is AST-accurate for only three languages. The rest fall back to `is_public = true` and no signature — honest table below, so you know what you get:

| Language | Extensions | Symbols + call graph | `is_public` / `signature` |
|----------|-----------|:---:|:---|
| Rust | `.rs` | ✅ | ✅ AST-accurate |
| Python | `.py` | ✅ | ✅ AST-accurate |
| TypeScript | `.ts`, `.tsx` | ✅ | ✅ AST-accurate |
| JavaScript | `.js`, `.jsx`, `.mjs` | ✅ | fallback (`true` / none) |
| C | `.c`, `.h` | ✅ | fallback (`true` / none) |
| C++ | `.cpp`, `.hpp`, `.cc`, `.cxx` | ✅ | fallback (`true` / none) |
| C# | `.cs` | ✅ | fallback (`true` / none) |
| Go | `.go` | ✅ | fallback (`true` / none) |
| Java | `.java` | ✅ | fallback (`true` / none) |
| Ruby | `.rb` | ✅ | fallback (`true` / none) |
| PHP | `.php` | ✅ | fallback (`true` / none) |
| HTML | `.html`, `.htm` | ✅ | fallback (`true` / none) |
| CSS | `.css` | ✅ | fallback (`true` / none) |
| JSON | `.json` | ✅ | fallback (`true` / none) |
| Bash | `.sh`, `.bash` | ✅ | fallback (`true` / none) |

## How it works

`amdb init` parses every source file with Tree-sitter, extracts symbols and call edges, and embeds each symbol with a local fastembed model — content-hashed, so unchanged files are skipped entirely on re-runs. Everything lands in two SQLite files: a symbol/relationship store and a vector store. Retrieval combines exact name matching, cosine similarity over the vectors, and call-graph expansion, served over MCP stdio or written to a Markdown context file.

## Comparison

Same fixture repo (amdb's own source), same five questions ("where is symbol X defined, and who calls it?"), all numbers actually measured by `benchmark.py`. We did not run competitor indexing tools, so none appear here; the baselines are a raw full-repo dump and a scripted grep-then-read-matched-files agent protocol.

| Strategy | Avg tokens to model | Avg tool calls |
|----------|--------------------:|---------------:|
| Raw full-repo dump | 21,887 | 1 |
| grep + read matched files | 4,180 | 2.4 |
| amdb (`--focus`, depth 1) | 3,972 | 1 |

On a 31-file repo, grep is genuinely competitive on tokens — amdb's edge at this scale is one structured call instead of 2–4, with signatures, visibility, and resolver-accurate caller/callee attribution instead of raw text. The token gap widens with repo size: the dump grows linearly, grep grows with match noise, amdb's focus output grows with the size of the relevant interface.

## More

**Daemon mode** — `amdb daemon` watches the project and incrementally re-indexes on save, keeping the MCP answers fresh.

**Focus depth** — `amdb generate --focus  --depth N` expands context N call-graph hops from the matched files (default 1).

**Configuration** — optional `amdb.toml` in the project root:

```toml
db_path = ".database"
ignore_patterns = ["target", ".git", "node_modules", ".amdb", ".fastembed_cache", "__pycache__", ".database"]
```

`AMDB_DB_PATH` overrides `db_path`. Add `.database/` and `.amdb/` to your `.gitignore`.

**Verbose** — `-v` / `--verbose` on any command for debug logs.

**Docker** — the repo `Dockerfile` builds a slim image whose entrypoint is `amdb serve`, so the container speaks MCP over stdio immediately:

```bash
docker build -t amdb .
docker run --rm -v "$PWD:/workspace" --entrypoint amdb amdb init .
docker run -i --rm -v "$PWD:/workspace" amdb
```

The published `ghcr.io/betaer-08/amdb:1.0.0` image predates the serve entrypoint — it runs bare `amdb`, so pass the subcommand explicitly: `docker run -i --rm -v "$PWD:/workspace" -w /workspace ghcr.io/betaer-08/amdb:1.0.0 serve`. Images published from the next tag serve by default.

## Stability

amdb follows semantic versioning. 1.0.0 freezes the contract below; anything listed as covered changes only in a 2.0 release, and contract tests in `tests/contract_test.rs` fail loudly if it drifts.

**Covered by the 1.0 promise:**

- **CLI** — subcommands `init`, `daemon`, `generate`, `serve`; flags `--focus`/`-f`, `--depth`/`-d`, `--verbose`/`-v`; the optional path argument to `init` and `daemon`. Exit codes: 0 on success, 1 on unrecoverable error.
- **MCP tools** — exactly `amdb_get_context`, `amdb_focus`, `amdb_get_symbol` with their current input parameters. `amdb_get_symbol` responses keep every current field with its current type: `file`, `name`, `kind`, `line`, `signature`, `is_public`, `callers[]` (`name`, `file`), `callees[]` (`name`, `file`, `resolution` ∈ `same-file` | `global-unique` | `unresolved`). New fields and new `resolution` values may be *added* in minor releases; existing ones are never renamed, removed, or retyped.
- **Config** — `amdb.toml` keys `db_path` and `ignore_patterns`, and the `AMDB_DB_PATH` environment override. Unknown keys are ignored.
- **Database upgrades** — the index schema is versioned via `PRAGMA user_version`. Any database written by amdb ≥ 0.6 opens without error and migrates automatically; the next `amdb init` rebuilds whatever the migration invalidated. Deleting `.database/` is a last-resort fallback, never a required upgrade step.
- **Generated Markdown anchors** — two things in `generate` output are stable for scripts: each indexed file gets a heading line of exactly `### ` (forward slashes, relative to the project root), and the dependency graph is a single fenced ` ```mermaid ` block containing `graph TD;` with `-->` edge lines.

**Not covered (may change in any release):**

- Every other detail of the Markdown layout: bullet and signature formatting, section ordering, mermaid node-id sanitization, header text.
- Log and progress text on stdout/stderr.
- The SQLite table layout and the vector-store file format (only automatic migration is promised, not the bytes).
- The benchmark harness (`benchmark.py`) and its output format.
- Internal Rust APIs — amdb is a binary crate; depending on its modules as a library is unsupported.

## License

MIT. Bug reports and inquiries: try.betaer@gmail.com

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [BETAER-08](https://github.com/BETAER-08)
- **Source:** [BETAER-08/amdb](https://github.com/BETAER-08/amdb)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-betaer-08-amdb
- Seller: https://agentstack.voostack.com/s/betaer-08
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
