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SimplyLiz/CodeMCP

v9.0.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 1mo MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai architecture claude cli code-analysis code-intelligence
+9 more
cursor developer-tools go llm lsp mcp mcp-server refactoring scip

Summary

AI summary

Introduces LIP v2.0 semantic integration with 25 new functions and a performance‑scanning tool.

Full changelog

What's New

LIP v2.0 Semantic Integration

CKB now speaks the correct LIP v2.0 wire protocol ("type" discriminator, snake_case variants) and exposes 25 new functions. Key tool upgrades:

  • reviewPRsemantic-novelty check flags changed files with novelty score ≥ 0.7 (may lack test coverage)
  • getAffectedTestsNearestByFileFiltered("*_test.go") finds semantically proximate tests that aren't connected via the SCIP import graph
  • explainFileFindBoundaries appends a semantic_boundaries section with per-region shift magnitudes
  • getArchitectureSimilarityMatrix + GetCentroid add a semantic_coupling matrix across modules
  • doctor — shows LIP coverage %, stale embeddings count, and model provenance

All LIP calls degrade silently — no errors or config required when LIP is not running.

Setup

cargo install lip-cli
LIP_EMBEDDING_URL=http://localhost:11434/v1/embeddings \
LIP_EMBEDDING_MODEL=nomic-embed-text \
lip daemon --socket ~/.local/share/lip/lip.sock
lip index .

See Hybrid-Retrieval for details.

Performance Scanning

New ckb perf structural command and analyzePerf MCP tool. Spec for 6 checkers (n1-queries, resource-leaks, unbounded-growth, large-copies, lock-scope, error-drain) at docs/specs/performance-scanning.md.

Bulk Index Optimizations

Parallel SCIP load, O(n) caller index (was O(n²)), streaming FTS populate, mmap on Linux/macOS.


See CHANGELOG.md for the full list.

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About SimplyLiz/CodeMCP

Code intelligence MCP server with 80+ tools for semantic code search, impact analysis, call graphs, ownership detection, and architectural understanding. Supports Go, TypeScript, Python, Rust, Java via SCIP indexing.

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Beta — feedback welcome: [email protected]