io.github.nobrainer-tech/nobrainer-tech-flow
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Publisher-provided title
NoBrainer Tech Flow
Publisher-provided description
Task contract, evidence check and done gate for AI coding agents. Read-only, no sign-in.
Summary by lookupd
Lets an agent define task contracts, validate evidence, and gate completion checks for coding work, read-only with no sign-in.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http nobrainer-tech-flow https://mcp.nobrainer.tech/mcp
Codex, remote (streamable-http)
codex mcp add nobrainer-tech-flow --url https://mcp.nobrainer.tech/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"nobrainer-tech-flow": {
"url": "https://mcp.nobrainer.tech/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (6 tools)
Publisher-provided text
start_flow_taskUse at the start of a non-trivial task. Checks your proposed outcome and definition of done (DoD) against Flow's contract rules, chooses the quick or full path,get_flow_stepUse when you need guidance on a Flow stage, an event (e.g. blocked), a module (e.g. nobrainer-review), or a PR's Definition of Done or readiness (topic pr_dod).check_flow_evidenceUse after running a check. Validates one to four evidence records against DoD items in the contract token: exit codes, test counts in the output, hashes, URL stcheck_flow_doneUse before saying a task is done. Returns DONE only when every DoD item has accepted, current evidence, DONE_WITH_GAPS when the rest are listed in unchecked witdraft_flow_handoffUse after check_flow_done. Returns a short final-report skeleton from the done receipt: delivered outcome, proof per DoD item, what was not checked, decisions lrecommend_flow_modelUse when picking a model for a Flow task: top-3 from a pinned NoBrainer benchmark snapshot, no invented scores.
Details
- Version: 2.12.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 391 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/nobrainer-tech/nobrainer-tech-flow
- Website: https://nobrainer.tech/flow/
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