This release includes breaking changes for platform teams planning a safe upgrade.
✓ No known CVEs patched in this version
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Summary
AI summaryAdded five compound operation tools, SSE streaming support, enhanced getStatus health reporting, new code analysis utilities, structured error codes, response metadata, and a golden test suite.
Full changelog
Theme: Reliability, clarity, and compound operations for AI workflows.
See CHANGELOG.md for full release notes.
Key Features in v8.0.0
Compound Operations (5 New Tools)
Reduce AI tool calls by 60-70% with smart aggregation tools:
explore— Area exploration (file/directory/module)understand— Symbol deep-dive with ambiguity handlingprepareChange— Pre-change impact analysisbatchGet— Retrieve up to 50 symbols in one callbatchSearch— Execute up to 10 searches in one call
SSE Streaming
Real-time feedback for long-running operations:
findReferencesandsearchSymbolssupport streaming withstream: true- Progress updates, chunked results, and error handling
Enhanced getStatus
System health with actionable remediation guidance:
- Health tiers:
available,degraded,unavailable - Index freshness info (
commitsBehind,indexAge) - Backend latency and capability reporting
Code Analysis Tools
findDeadCode— Static dead code detectiongetAffectedTests— Test coverage mappingcompareAPI— Breaking change detection between commits/branches
Structured Error Codes
All MCP errors now include actionable remediation:
AMBIGUOUS_QUERY,PARTIAL_RESULT,INVALID_PARAMETERRESOURCE_NOT_FOUND,PRECONDITION_FAILED,OPERATION_FAILED
Response Metadata
All tool responses include structured metadata:
- ConfidenceFactor — Score explanation with weighted factors
- CacheInfo — Cache hit/miss transparency
Golden Test Suite
Multi-language test fixtures for regression testing across Go, TypeScript, Python, and Rust.
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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.
Related context
Beta — feedback welcome: [email protected]