v0.10.0-alpha

[nicotem]

Connect QualCoder to your MCP host of choice for AI-assisted qualitative data analysis, with a human approving every write.

This is an alpha. Please work on copies of your projects, never originals.

Install or update:

pip install --upgrade qualcoder-mcp

New in this release

• QualCoder v14 through v17 project support, including sub-codes. Support is determined by inspecting the project database itself (capability probes), not version numbers, so projects from released QualCoder 3.8.x and from the unreleased 4.0 development builds work interchangeably. Sub-codes (a code nested under another code) are fully supported: create, move, merge and delete follow QualCoder's own recipes exactly, and listings, reports, the codebook and REFI-QDA export all preserve the nesting. Verified against the QualCoder 4.0 Beta source at pinned commit 7b074d2; claims will be re-verified at the 4.0 release.
• Write protection for QualCoder 4.0 builds. The 4.0 development builds no longer use a lock file, so an open 4.0 window cannot be detected. Text-anchored writes now re-verify inside the write transaction that the file text still matches what was validated, rolling back cleanly if an editor raced the write. Do not run writes while any QualCoder window has the same project open.
• Multi-host support (Experimental). A reduced core toolset (QUALCODER_MCP_TOOLSET=core, 20 tools) for smaller-context hosts, setup recipes for LM Studio (fully local: participant data never leaves your machine) and Claude Code with an Anthropic API key, and a four-rung data-governance ladder in PRIVACY.md quoting official terms verbatim. Experimental: functionally tested at the server level, but no local model has been capability-evaluated with this server yet.

1233 automated tests; independent QA and security review; CI green on macOS, Linux and Windows (Python 3.10 and 3.13).

Support & privacy

Bugs, questions and ideas via GitHub Issues (SUPPORT.md).

One important note: by design this tool sends your project content, including interview text, to whichever AI provider your host uses (none, with a fully local host). Please use synthetic or consented data and check your ethics and GDPR position before pointing it at real participant data. PRIVACY.md explains exactly what flows where.

Full changelog: CHANGELOG.md. MIT licensed, no warranty.

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This discussion was created from the release v0.10.0-alpha.