CodeScry local codebase index with MCP retrieval tools
Project description
CodeScry
CodeScry is a local codebase retrieval tool for coding agents. It indexes committed code from local git repos into a local SQLite database, then exposes ranked snippets through a CLI and MCP stdio server.
Install
Fast path:
curl -LsSf https://raw.githubusercontent.com/Zhachory1/codescry/main/scripts/install.sh | sh
The installer uses uv tool install codescry when uv is available, otherwise pipx install codescry. If neither uv nor pipx is installed, it bootstraps pipx with python3 -m pip --user.
If you prefer explicit installs:
pipx install codescry
# or, if uv is already installed
uv tool install codescry
Node users can run the npm wrapper after installing uv:
npx codescry doctor
The npm package is a thin wrapper around the Python package. It does not bundle local SQLite index data.
For development:
python -m venv .venv
source .venv/bin/activate
pip install -e '.[dev]'
Check local readiness:
codescry doctor
First success path
For a deterministic five-minute smoke test, see docs/getting-started.md.
Index this repo or another local git repo:
codescry index /path/to/git/repo
Query it:
codescry query "where is request retry handled" -k 5
Lookup a symbol:
codescry get-symbol RepoIndex --repo /path/to/git/repo
Discover and index every git repo under a root:
codescry index-root ~/code
Show indexed repos and freshness:
codescry status
MCP setup
Run the MCP server over stdio:
codescry serve
Agent config example:
{
"mcpServers": {
"codescry": {
"type": "stdio",
"command": "/Users/YOU/.local/bin/codescry",
"args": ["--db", "/Users/YOU/.codescry/index.sqlite", "serve"],
"env": {}
}
}
}
npm/npx config example:
{
"mcpServers": {
"codescry": {
"type": "stdio",
"command": "npx",
"args": ["-y", "codescry", "--db", "/Users/YOU/.codescry/index.sqlite", "serve"],
"env": {}
}
}
}
Use which codescry to find the absolute command path for your machine when using direct CLI installs.
Freshness hooks
Install hooks for one repo or a repo root:
codescry install-hooks /path/to/git/repo
codescry install-hooks ~/code --recursive
Hooks run best-effort after commit/merge:
codescry --db <db> reindex "$PWD"
They preserve the selected DB path and must not fail git commands.
Docs
docs/getting-started.md— install to first useful query.docs/mcp-clients.md— MCP config examples.docs/troubleshooting.md— common setup/query/freshness issues.docs/cli-reference.md— command reference.docs/output-schema.md— JSON fields.docs/evals.md— eval authoring and gate.docs/pilot.md— 5-engineer pilot measurement plan and local reporting commands.docs/language-support.md— parser/regex/window support matrix.docs/recipes.md— common operations.docs/upgrade-uninstall.md— lifecycle commands.docs/release.md— PyPI-first and npm-wrapper release flow.
Evals
The seed golden set lives in evals/golden.codescry.jsonl.
Run the eval gate:
codescry eval evals/golden.codescry.jsonl . -k 10 --fail-under 0.85
Pilot proof
Pilot task/activation/miss events are recorded in ~/.codescry/usage.jsonl without snippets. Passive query logging is opt-in with CODESCRY_ENABLE_USAGE_LOG=1. Use:
codescry pilot report
See docs/pilot.md for activation, timing, miss capture, and decision gates.
Retrieval behavior
- Python functions/classes/methods get parser-backed symbol metadata.
- TS/JS/Go/Java/Rust/C/C++/SQL get Tree-sitter parser-backed symbol metadata.
- Other common declaration patterns get regex-backed symbol metadata.
get_symboluses stored symbol metadata before search fallback.- Search blends vector, lexical, symbol, and path scores.
- Results include stale/dirty flags.
Data boundary and safety
- Default embeddings are local deterministic hash vectors.
- Default configuration does not send source code to external APIs.
- Index data is local SQLite derived data and can be deleted/rebuilt.
- Files matching high-confidence secret patterns are skipped and prior chunks for those paths are removed.
- Secret skipping is a best-effort local guardrail, not a guarantee. See
SECURITY.md.
Current limits
- Python uses stdlib AST parser chunks; TS/JS/Go/Java/Rust/C/C++/SQL use Tree-sitter parser chunks; other languages use regex-backed symbol hints plus line windows.
- Local deterministic hash embeddings, not quality-tuned semantic embeddings.
- SQLite storage scans/scoring in Python, no ANN/vector extension yet.
- Freshness is committed-code freshness; dirty working-tree edits are reported but not indexed.
Project details
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