This release includes breaking changes for platform teams planning a safe upgrade.
✓ No known CVEs patched in this version
Topics
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Summary
AI summaryClarified installation instructions with two distinct methods and made documentation language universal across all MCP clients.
Full changelog
Documentation Improvements
Critical Fix: Installation Instructions
Previously, the installation section was confusing because it mixed automatic and manual installation approaches. This release provides two clear, distinct methods:
- Method A (uvx - recommended): Just configure your MCP client with
uvx- no manual installation needed - Method B (manual): Run
uvx math-mcp-learning-server, then configure your MCP client
This eliminates the confusion where users thought they needed to run both commands.
Language Universality
- Replaced 'Claude sessions' with 'MCP client sessions' throughout documentation (3 occurrences)
- More inclusive: Documentation now applies to all MCP clients (Claude Desktop, Claude Code, OpenCode, Amazon Q, Codex CLI, Gemini CLI, etc.)
- Accurate scope: Emphasizes that the server works with any MCP-compatible client
Documentation Cleanup
- Removed superfluous testing section from CLOUD_DEPLOYMENT.md (duplicated README instructions)
- Fixed 'Local Development' → 'Local Usage' for accuracy
- Updated CONTRIBUTING.md installation commands (pip → uv pip, correct version examples)
- Fixed version example from outdated 0.6.3 to current 0.6.7
Files Changed
- README.md: Installation clarity, universal language, accurate section labels
- docs/CLOUD_DEPLOYMENT.md: Removed redundant testing section
- CONTRIBUTING.md: Fixed installation commands and version examples
- pyproject.toml: Version bump to 0.6.7
Quality Assurance
- All 53 tests passing
- No breaking changes
- Full backward compatibility maintained
Impact
This release significantly improves user onboarding by eliminating the most common source of confusion (installation methods) and makes documentation more inclusive for the broader MCP ecosystem.
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About clouatre-labs/math-mcp-learning-server
Educational MCP server for math operations, statistics, visualization, and persistent workspaces. Built with FastMCP 2.0.
Related context
Beta — feedback welcome: [email protected]