sphinxcontrib-nexus 0.1.0

Unified code + documentation knowledge graph from Sphinx builds and Python AST analysis

sphinxcontrib-nexus

A unified code + documentation knowledge graph extracted from Sphinx builds and Python AST analysis. Queryable via MCP, CLI, and Python API.

What makes it unique: Nexus is the only tool that puts code structure (call graphs, imports, inheritance, type annotations) and documentation structure (equations, cross-references, citations, theory pages) in the same graph. This enables queries that are impossible with code-only or doc-only tools — like tracing from a literature citation through an equation to the function that implements it.

Quick Start

pip install sphinxcontrib-nexus

As a Sphinx Extension

Add to your docs/conf.py:

extensions = ['sphinxcontrib.nexus']

After sphinx-build, find the graph at <outdir>/_nexus/graph.db (SQLite) and <outdir>/_nexus/graph.json.

Standalone AST Analysis (no Sphinx needed)

nexus analyze src/ --db graph.db

MCP Server (for Claude Code / AI agents)

nexus serve --db graph.db --project-root /path/to/project

Install Skills for Claude Code

nexus setup           # project-local: .claude/skills/
nexus setup --global  # global: ~/.claude/skills/

Configuration

Config value	Default	Description
nexus_output	_nexus	Output directory relative to build output
nexus_ast_analyze	True	Run AST analysis during Sphinx build

What the Graph Contains

Node Types (16)

Type	Source	Example
file	Sphinx	RST/doc pages
section	Sphinx	Labeled sections (:ref: targets)
equation	Sphinx	Labeled math equations (:eq: targets)
term	Sphinx	Glossary terms
function	Sphinx + AST	Python functions
class	Sphinx + AST	Python classes
method	Sphinx + AST	Python methods
attribute	Sphinx + AST	Class attributes
module	Sphinx + AST	Python modules
data	Sphinx	Module-level data
exception	Sphinx	Exception classes
type	Sphinx	Type aliases
external	Auto-detected	stdlib, builtins, installed packages (numpy, scipy, ...)
unresolved	Auto-detected	Referenced but not documented symbols

Edge Types (13)

Edge	Meaning	Source
contains	Parent → child (toctree, module→function, class→method)	Sphinx + AST
references	Cross-reference (:ref:, :term:)	Sphinx
documents	Doc page → code symbol (:func:, :class:)	Sphinx
equation_ref	Doc → equation (:eq:)	Sphinx
cites	Doc → citation	Sphinx
implements	Code → equation (inferred from co-occurrence in docs)	Merge
calls	Function → function	AST
imports	Module → module	AST
inherits	Class → parent class	AST
type_uses	Function → type (from annotations)	AST
tests	Test → tested function	AST
derives	Derivation → equation	AST

MCP Tools (16)

Exploration

• query — keyword search across node names
• context — 360-degree view of a symbol (all connections grouped by type)
• neighbors — direct connections with direction and type filtering
• shortest_path — how two concepts connect
• god_nodes — most connected nodes (entry points)
• stats — graph-level statistics

Safety & Refactoring

• impact — blast radius analysis (what breaks if you change X)
• detect_changes — map git diff to affected symbols
• rename — safe multi-file rename with confidence tagging
• retest — minimum set of tests to re-run after changes
• communities — detect functional groupings

Code + Doc Fusion (unique to Nexus)

• provenance_chain — citation → equation → code traceability
• verification_coverage — equation → code → test coverage map
• staleness — detect docs that drifted from code
• session_briefing — AI agent context restoration
• trace_error — trace from failing test to equations on call path
• migration_plan — plan dependency migration with phased blast radius

MCP Resources (4)

Resource	Content
nexus://graph/stats	Node/edge counts by type
nexus://graph/communities	Functional area summaries
nexus://graph/schema	Node types, edge types, ID format
nexus://briefing	Session briefing for AI agents

Skills (8)

Installed via nexus setup. Each skill triggers on natural language:

Skill	Triggers on
nexus-exploring	"How does X work?", "What calls this?"
nexus-impact	"Is it safe to change X?", "What tests to re-run?"
nexus-debugging	"Why is X failing?", "Which equation is wrong?"
nexus-refactoring	"Rename this", "Extract this into a module"
nexus-verification	"What's verified?", "Which docs are stale?"
nexus-migration	"Plan numpy→jax migration"
nexus-guide	"What Nexus tools are available?"
nexus-cli	"Analyze the codebase", "Start the server"

Storage

The graph is stored in two formats:

• SQLite (primary) — indexed queries, FTS5 full-text search, 0.05ms neighbor lookups
• JSON (secondary) — human-readable, NetworkX node-link format

Python API

from sphinxcontrib.nexus.export import load_sqlite
from sphinxcontrib.nexus.query import GraphQuery

kg = load_sqlite("_nexus/graph.db")
q = GraphQuery(kg)

# What uses numpy.ndarray?
q.query("ndarray", node_types=["external"])

# Blast radius of changing a function
q.impact("py:function:sn_solver.solve_sn", direction="upstream")

# Citation → equation → code chain
q.provenance_chain("py:function:sn_sweep.sweep_spherical")

# Migration plan
q.migration_plan("numpy", "jax")

License

MIT