sari 0.6.9

High-performance local search and indexing engine for large codebases

Sari – Local Code Search/Indexing MCP Server

한국어 설명(Korean)

Sari is a local code search/indexing MCP server designed for fast, local indexing and search across large codebases. It defaults to MCP stdio integration, supports multi-workspace collection, and keeps configuration and data paths clearly separated.

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1. Overview

Sari indexes large codebases locally and provides fast search capabilities via the Model Context Protocol (MCP). It ensures your source code stays on your machine while providing powerful search, symbol navigation, and call graph analysis to LLMs.

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2. Installation

2.1 Recommended: uv tool (Global-like Utility)

Since Sari is an MCP server utility used across multiple projects, we strongly recommend using uv tool. It keeps the environment isolated while providing a stable, single binary path for all your workspaces.

• Pros: Prevents redundant installations, stable command path for MCP config, and easy CLI access.

uv tool install sari

After installation, find the absolute path for your MCP settings:

which sari
# Example: /Users/yourname/.local/bin/sari

2.2 Optional: venv install (Per-project Isolation)

Use this only if you want to lock Sari to a specific project. Note that you'll need to install it in every workspace, and you must update your MCP command path whenever you switch projects.

uv venv .venv
source .venv/bin/activate
uv pip install sari

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3. Runtime Modes

3.1 stdio (MCP Recommended)

The stdio transport runs as a daemon proxy for high performance.

Start the daemon (required for stdio):

sari daemon start -d

3.2 HTTP API

Start the HTTP API server for access via browser or other HTTP clients.

sari --transport http --http-api-port 47777

Health check:

curl http://127.0.0.1:47777/health

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4. MCP Client Setup

Configuration depends on your installation method and whether you want to manage workspaces globally or per-project.

4.1 Recommended: Global Configuration (Unified Search)

Use this if you want to search across multiple repositories from any workspace.

1. Initialize Global Config:

   mkdir -p ~/.config/sari
   echo '{"workspace_roots": []}' > ~/.config/sari/config.json
   

2. Add Your Workspaces:

   sari roots add /abs/path/to/repo1
   sari roots add /abs/path/to/repo2
   

3. Update MCP Settings: Point SARI_CONFIG to the global path.

A. Gemini CLI (~/.gemini/settings.json)

{
  "mcpServers": {
    "sari": {
      "command": "sari",
      "args": ["--transport", "stdio"]
    }
  }
}

B. Codex CLI (~/.codex/config.toml)

[mcp_servers.sari]
command = "sari"
args = ["--transport", "stdio"]

Note: Ensure that sari is available in your system PATH. If you installed via uv tool, this is usually handled automatically.

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4.2 Optional: Per-project Configuration

Use this if you want isolated indexing for a specific workspace.

A. Gemini CLI

{
  "mcpServers": {
    "sari": {
      "command": "/Users/yourname/.local/bin/sari",
      "args": ["--transport", "stdio"],
      "env": {
        "SARI_CONFIG": "/abs/path/to/workspace/.sari/config.json"
      }
    }
  }
}

B. Codex CLI

[mcp_servers.sari]
command = "/Users/yourname/.local/bin/sari"
args = ["--transport", "stdio"]

[mcp_servers.sari.env]
SARI_CONFIG = "/abs/path/to/workspace/.sari/config.json"

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5. Data & Install Paths

• Global DB: ~/.local/share/sari/index.db
• Global Registry: ~/.local/share/sari/server.json
• Logs: ~/.local/share/sari/logs
• Workspace Config: <workspace>/.sari/config.json or <workspace>/sari.json
• Global Config: ~/.config/sari/config.json

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6. Multi-workspace

6.1 CLI

sari roots add /path/to/workspaceA
sari roots add /path/to/workspaceB
sari roots list

6.2 Config file

{
  "workspace_roots": [
    "/path/to/workspaceA",
    "/path/to/workspaceB"
  ]
}

6.3 Collection Example

Register multiple workspaces in the global config and run.

# Register roots
sari roots add /Users/user/Repo1
sari roots add /Users/user/Repo2

# Run with global config
SARI_CONFIG=~/.config/sari/config.json sari --transport stdio

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7. Indexing Policy

Sari determines indexing roots in this order:

1. workspace_roots from global/workspace config
2. SARI_WORKSPACE_ROOT environment variable
3. rootUri/rootPath from MCP initialization
4. Fallback to current working directory (CWD)

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8. Configuration Reference

Key	Description	Default
workspace_roots	Multi-workspace roots	[CWD]
include_ext	File extensions to index	.py, .js, .ts, .java, ...
exclude_dirs	Excluded directories	.git, node_modules, .venv, ...
max_depth	Max directory depth	20
scan_interval_seconds	Auto-scan interval (sec)	180

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9. Call Graph Options

call_graph becomes more stable when you provide explicit scope:

• repo: force repository scope
• depth: search depth (default: 2)
• include_paths/exclude_paths: glob filters

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10. Troubleshooting

Please see docs/TROUBLESHOOTING.md when issues occur.

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11. Maintenance

Update

• Force update from local source:

  uv tool install . --force
  

• Upgrade to the latest version via PyPI:

  uv tool upgrade sari
  

Uninstall

uv tool uninstall sari