cbasegraph 0.2.2

Generic codebase knowledge graph engine for Python projects.

codebaseGraph

codebaseGraph is alocal knowledge graph for AI coding agents. It builds a graph from Python source code, Markdown, and MDX files into a LadyBugDB-backed graph, then exposes search, compact context, schema, query helpers, and read-only MCP tools.

Using codebaseGraph helps agents orient and reason faster, reduce guesswork, keep prompts focused, and make changes with better impact awareness. Because the graph stores local source, documentation, spans, and relationships together, it gives AI agents a compact evidence layer for safer edits, architecture review, dependency tracing, and onboarding while reducing token consumption and tool calling.

Requires Python 3.10+

Quick start

python -m pip install cbasegraph
codebase-graph setup --repo-root .
codebase-graph graph-search SampleService --repo-root . --no-refresh

Setup creates:

.codebaseGraph/
  config.json
  manifest.json
  <repositoryName>_graph.ldb

For a repository named my-service, the database path is .codebaseGraph/my-service_graph.ldb.

The setup command materializes the graph, writes or updates one marked codebaseGraph block in AGENTS.md or CLAUDE.md, and installs a Codex MCP client entry unless skipped.

Useful setup options:

codebase-graph setup --repo-root /path/to/repo
codebase-graph setup --mcp-client claude
codebase-graph setup --mcp-client lmstudio
codebase-graph setup --skip-mcp-config
codebase-graph setup --instructions-target claude
codebase-graph setup --dry-run --pretty

MCP install

codebase-graph mcp install --client codex

Supported clients are codex, claude, claude-project, lmstudio, hermes, openclaw, and generic.

Server naming:

• codebase-graph setup installs the default MCP server as codebase_graph.
• Standalone codebase-graph mcp install defaults to codebase_graph_<repo>.
• Use --name codebase_graph to override the standalone installer name.

The installer builds the server descriptor from .codebaseGraph/config.json, uses a supported native client CLI when available, and falls back to writing the client config file directly. Use --dry-run --json to inspect the emitted command or config patch before writing, and --verify to run a stdio smoke test after installation.

codebase-graph mcp install --client claude --scope user
codebase-graph mcp install --client claude-project
codebase-graph mcp install --client all --dry-run --json
codebase-graph mcp install --config-path /path/to/.codebaseGraph/config.json
codebase-graph mcp install --verify

MCP usage

Stdio is the default transport for local MCP clients:

codebase-graph mcp serve --config .codebaseGraph/config.json
codebase-graph-mcp --config .codebaseGraph/config.json

HTTP is available for local endpoint clients:

codebase-graph mcp http --config .codebaseGraph/config.json --host 127.0.0.1 --port 8765

Keep HTTP bound to 127.0.0.1 for normal use. Remote binding requires --allow-remote and a bearer token, but does not provide TLS, rate limiting, authorization scopes, or a multi-user security model. HTTP clients must initialize first and send the returned Mcp-Session-Id header on later requests.

Available MCP tools:

• graph_health
• graph_search
• graph_context
• graph_schema
• graph_query_helpers
• graph_architecture_queries
• graph_query with write-like statements blocked

graph_query returns at most 1,000 rows per call. Add a narrower MATCH pattern or a query-side LIMIT for broader graph exploration.

CLI workflow

The CLI mirrors the MCP tools for clients that do not surface MCP directly:

codebase-graph graph-health --repo-root .
codebase-graph graph-context SampleService --repo-root . --profile definitions
codebase-graph graph-query "MATCH (n) RETURN count(n) AS total_nodes LIMIT 1" --repo-root .

Retrieval commands emit block format by default for agent-facing output. Use --json --pretty or --format json for structured inspection. MCP callers can request the typed payload with include_structured_content: true. Retrieval commands also support --detail standard|slim; slim drops score diagnostics and duplicate or empty summary fields.

For coding-task architecture orientation, call graph_architecture_queries first, then run selected statements with graph_query.

Development

python -m pip install -e .[dev]
python -m pytest
ruff check .

Release and security

CI runs pytest across Linux, macOS, and Windows for Python 3.10 through 3.14, plus ruff, package-build checks, supply-chain validation, and smoke tests. See docs/release.md for the full release process and conda-forge checklist.

Report suspected vulnerabilities privately. See SECURITY.md for supported versions, reporting expectations, and the local-first MCP security boundary.

Troubleshooting

• Missing LadyBugDB: install a package build that includes real_ladybug; setup fails before creating .codebaseGraph if the runtime cannot open a graph database.
• Stale graph: rerun codebase-graph setup --repo-root . after material source or documentation changes.
• Broken client config: rerun codebase-graph mcp install --client <client> --verify.
• PATH or executable issues: run setup from the virtual environment that contains codebase-graph; the descriptor prefers that absolute executable path.
• Unsupported files: binary, vendor, cache, virtualenv, build, dist, .codebase_graph, and .codebaseGraph paths are skipped.
• Lock errors: stop other graph materialization or setup processes using the same .codebaseGraph/<repositoryName>_graph.ldb. Stale locks with dead writer PIDs are removed automatically; if the error remains, inspect the .ldb.lock file before removing it manually.
• Diagnostics: set CODEBASE_GRAPH_LOG_LEVEL=INFO to include setup start/completion events on stderr.