development MCP Server
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
Discovered via github-topic:mcp and last synced 1w ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
8.1x
Build or incrementally update the graph
Retrieve documentation sections
Find most-connected nodes (architectural hotspots)
List registered repositories
API key for MiniMax embeddings
2
Flow Detection
Callers, callees, tests, imports, inheritance queries
Find flows affected by changed files
Auto-generated review questions from analysis
0.7x
What it does
Compute vector embeddings for semantic search
Architecture overview from community structure
99
Blast radius of changed files
83
0.7ms
Ultra-compact context (~100 tokens) — call this first
Find functions/classes exceeding a line-count threshold
Find chokepoints via betweenness centrality
Search across all registered repositories
60
0.5ms
If set, disables ANSI colors in terminal
1.5ms
Details
BFS/DFS traversal from any node with token budget
List detected code communities
Rename preview, dead code detection, suggestions
Maximum nodes to include in impact analysis
Description
Risk-scored change impact analysis for code review
Retrieve a specific wiki page
API key for Google Gemini embeddings
Identify structural weaknesses and untested hotspots
Description
API key for OpenAI-compatible embeddings
status
Generate markdown wiki from communities
Maximum depth for graph traversal
List execution flows sorted by criticality
Files
141
0.4ms
Default model for vector embeddings
Pin embedding dimension (v3 models support reduction)
1,122
Search code entities by name or meaning
Get details of a single community
Apply a previously previewed refactoring
Search depth for blast-radius analysis
If `1`, disables parallel parsing (use for debugging)
Token-optimised review context with structural summary
Get details of a single execution flow
Detect unexpected cross-community coupling
Timeout in seconds for Git operations
Model name for OpenAI-compatible embeddings
Suppress the cloud embedding egress warning after explicit acknowledgement
Allow HuggingFace models that require `trust_remote_code=True`
Override directory for graph databases and generated graph artefacts
Include git submodules in file collection when set to `1`, `true`, or `yes`
Maximum frontier size for transitive caller/callee expansion
Comma-separated allowlist of MCP tools to expose when serving
2
0.7ms
Re-run flow detection, community detection, and FTS indexing
Graph size and health
Maximum changed functions analysed in one change report
Optional timeout in seconds for bounded MCP tools (`0` disables timeout)
OpenAI-compatible embeddings endpoint
API key for Voyage embeddings
Model name for Voyage embeddings
Output dimension for Voyage embeddings
Output dtype for Voyage embeddings
Voyage embeddings endpoint
Batch size for Voyage embedding requests
Minimum delay between Voyage requests
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