Ask Human
This MCP server enables AI agents to escalate questions to humans through a markdown file-based workflow, preventing hallucinations by providing a direct human-in-the-loop mechanism. Built by Mason Yarbrough for Kallro Inc. development workflows, it writes AI questions to a markdown file that humans edit with answers, using file watching to detect responses and return them to the AI agent. The implementation features cross-platform file locking, atomic operations, question timeout handling, file rotation for large logs, and robust markdown parsing, making it valuable for development scenarios where AI assistants need authoritative human input on decisions like database passwords, API endpoints, or architectural choices rather than generating potentially incorrect responses.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/masony817/ask-human-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Ask Human from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.