Skip to main content

OpenTrace Python agent — maps system architecture, code structure, and service relationships into a knowledge graph

Project description

OpenTrace

PyPI - Version License

Index any codebase into a knowledge graph — then query it with AI via MCP.

OpenTrace parses source code with tree-sitter, extracts classes, functions, imports, and call relationships, and stores the result in an embedded graph database. The graph is queryable through a built-in MCP server, so tools like Claude Code can search, traverse, and understand your codebase structure.

Install

pip install opentraceai

Or run directly with uv:

uvx opentraceai index .

Requires Python 3.12+.

Quick Start

1. Index a codebase

opentraceai index /path/to/repo

This parses every supported file, extracts symbols and relationships, and writes the graph to ./otindex.db.

$ opentraceai index ~/projects/myapp
Opening LadybugDB at ./otindex.db ...
Indexing /home/user/projects/myapp ...
  1284 nodes, 3421 relationships, 187 files, 95 classes, 412 functions
Done in 4.2s.

2. Query via MCP

Start a stdio MCP server against the indexed database:

opentraceai mcp --db ./otindex.db

This exposes graph query tools over stdin/stdout for any MCP-compatible client.

Claude Code

Add OpenTrace to Claude Code as a plugin, or configure it manually in your project's .mcp.json:

{
  "mcpServers": {
    "opentrace": {
      "type": "stdio",
      "command": "uvx",
      "args": ["opentraceai", "mcp", "--db", "./otindex.db"]
    }
  }
}

MCP Tools

Tool Description
search_graph Full-text search across nodes by name or properties
list_nodes List nodes by type (Class, Function, Service, etc.)
get_node Get a node's full details and immediate neighbors
traverse_graph Walk relationships from a node (outgoing, incoming, or both)
get_stats Get graph statistics — node/edge counts broken down by type

Supported Languages

Full extraction (symbols + calls + imports) Structural extraction (symbols only)
Python, TypeScript/JavaScript, Go Rust, Java, Kotlin, C#, C/C++, Ruby, Swift

Config and data files (JSON, YAML, TOML, Protobuf, SQL, GraphQL, Bash) are indexed as file nodes.

CLI Reference

opentraceai index [PATH] [OPTIONS]
Option Default Description
PATH . Directory to index
--db ./otindex.db Database path
--repo-id directory name Repository identifier
--batch-size 200 Items per write batch
-v, --verbose off Debug logging
opentraceai mcp [OPTIONS]
Option Default Description
--db ./otindex.db Database path
-v, --verbose off Debug logging

Part of OpenTrace

This package is the CLI/MCP component of OpenTrace, an open-source platform for mapping system architecture into knowledge graphs. The full project also includes a browser-based graph explorer at oss.opentrace.ai.

License

Apache License 2.0

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

opentraceai-0.3.0rc22.tar.gz (214.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

opentraceai-0.3.0rc22-py3-none-any.whl (103.7 kB view details)

Uploaded Python 3

File details

Details for the file opentraceai-0.3.0rc22.tar.gz.

File metadata

  • Download URL: opentraceai-0.3.0rc22.tar.gz
  • Upload date:
  • Size: 214.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for opentraceai-0.3.0rc22.tar.gz
Algorithm Hash digest
SHA256 19bd8080732fdaeae716eff0ea8eac2c6edbce4f3431c771f5c165a4e19c6440
MD5 a101637da64c758bcac17974062d5fb1
BLAKE2b-256 43dd95251c9b70bacab66d0839cd6fee538d90b99978312333bbf42a0633d0cb

See more details on using hashes here.

Provenance

The following attestation bundles were made for opentraceai-0.3.0rc22.tar.gz:

Publisher: publish-dev.yml on opentrace/opentrace

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file opentraceai-0.3.0rc22-py3-none-any.whl.

File metadata

File hashes

Hashes for opentraceai-0.3.0rc22-py3-none-any.whl
Algorithm Hash digest
SHA256 eaad79d8108e4891a32e6479510093d4bf73dbbbe340f9038f4f5ee22ea4aef6
MD5 bc58777a38ee45d54ec58581c4581298
BLAKE2b-256 cca1580438a553a7db069ff61b8b1ae52bfe7d48d6107f1743f4ec8f2a20d72e

See more details on using hashes here.

Provenance

The following attestation bundles were made for opentraceai-0.3.0rc22-py3-none-any.whl:

Publisher: publish-dev.yml on opentrace/opentrace

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page