mcp-interactive
A MCP server that collects interactive user feedback during AI-assisted development, reducing unnecessary tool calls and costs by enabling AI to confirm with users.
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RealAlexandreAI
Source: Glama
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
interactive_feedbackInteractive feedback collection tool for LLM agents.
FASTMCP_LOG_LEVELSESSIONNAMEDISPLAYMCP_DEBUGfalseMCP_DESKTOP_MODEPYTHONWARNINGSMCP_TEST_MODEMCP_WEB_HOST127.0.0.1MCP_WEB_PORT9766MCP_LANGUAGE自动检测MCP_GZIP_MIN_SIZEMCP_GZIP_LEVELMCP_STATIC_CACHE_AGEMCP_API_CACHE_AGETool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
1/1 tools missing one or more hints — interactive_feedback (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Readable source code
2 files are minified or bundled, which is usually build output rather than concealment
Ship unminified, readable source.
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