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ddflow

PYPI · DDFLOW-MCP · 3 COMPONENTS · SCANNED OCT 5

Work-queue kernel for AI coding agents: dependencies, worktree isolation, quality gates, recovery

49 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
  • 0 of 2 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency97
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to delian/ddflow-mcp). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 0 days ago).Pass
  • Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability0
  • Schema quality not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet.Unverified
Stability & Change Management0
  • Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet.Unverified
Tool Coverage0
  • Tool coverage not yet verified: we do not have a sandbox capture of the tool definitions this version of the package serves yet.Unverified
Tool Safety0
  • Tool safety not yet verified: we do not have a sandbox capture of the tool definitions this version of the package serves yet.Unverified
Capabilities0
  • Protocol version not yet verified: we do not have a sandbox capture of the MCP handshake this version of the package performs yet.Unverified

Unverified: 5 categories

Categories scored 0 because our sandbox has not given us the schema these checks need to read. That is a gap on our side rather than a finding about the package, and we only credit what we can confirm, so the score stands at 0 until the capture succeeds. We are working through the fleet, so this normally clears without any action from you. How we score packages →

Install

How do I install the ddflow MCP server?

ddflow runs locally as a PyPI package, launched with uvx ddflow-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · ddflow-mcp

# add to Claude Code
claude mcp add delian-ddflow-mcp -- uvx ddflow-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "delian-ddflow-mcp": {
      "command": "uvx",
      "args": [
        "ddflow-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "delian-ddflow-mcp": {
      "command": "uvx",
      "args": [
        "ddflow-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add delian-ddflow-mcp -- uvx ddflow-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "delian-ddflow-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "ddflow-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add delian-ddflow-mcp --command uvx --arg ddflow-mcp
# ~/.hermes/config.yaml
mcp_servers:
  delian-ddflow-mcp:
    command: "uvx"
    args: ["ddflow-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "delian-ddflow-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "ddflow-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add delian-ddflow-mcp -t stdio -c uvx -a ddflow-mcp
// mcp.json
{
  "mcpServers": {
    "delian-ddflow-mcp": {
      "command": "uvx",
      "args": [
        "ddflow-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 5 Oct 26 +5
    • Source repository: unverified → pass ▲ security
    • Package version: 0.1.11 → 0.1.13 functional
  • 4 Oct 26 −20
    • Provenance: pass → unverified ▼ security
    • Stability: 0.03 → unverified ▼ security
    • Tool safety: pass → unverified ▼ security
    • Malware scan: unverified → pass ▲ security
    • Schema quality: 100 → unverified ▼ functional
    • Tool coverage: 100 → unverified ▼ functional
    • Capabilities: fail → unverified ▼ functional
    • Schema quality: 190 → 157 ▲ functional
    • Package version: 0.1.11 → 0.1.13 functional
    • Package version: 0.1.11 → 0.1.12 functional
  • 3 Oct 26 0
    • Malware scan: unverified → pass ▲ security
    • Stability: unverified → 0.03 ▲ functional
    • Package version: 0.1.10 → 0.1.11 functional
  • 2 Oct 26 64

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 7 Oct 2026 · Analysed pypi/ddflow-mcp@0.1.18

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem pypi
Reason Verified
Discovered via Registry attestation endpoint
Source repo delian/ddflow-mcp
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/delian/ddflow-mcp/.github/workflows/publish.yml@refs/heads/main
Rekor log index 3107963531
Predicate type PyPI publish attestation https://docs.pypi.org/attestations/publish/v1
Subject digest sha256:e6676e0f43f9bd0bcc9867af867c669502f1fa1f7cdbf5fcc8ad53b6ceadf680

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build

Background: Why install scripts are a supply-chain risk →

Dependencies 2 packages
Packages resolved 2
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 106 exposed · ~16,898 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
ddflow_wait ~280

Sleep until an item can be claimed (or, with no item, until anything is ready) and return the moment it can. Use it instead of polling or asking the operator when a claim was refused for another agent's lease or overlapping files, or an unfinished dependency someone is working on. Exit 0: claim now (it says what freed it). Exit 2: deadline passed, or waiting cannot help (done, cycle, operator hold, a dependency nobody works on) and it says what to do. The holder is told you wait.

NameTypeReqDescription
as_agentstring–A subagent's own name, this call only.
globsstring–With item: the globs you will claim with (comma-separated or a JSON array), so ready means that claim will not be refused for them.
itemstring–The item to wait for (default: anything ready).
kindstring–'task' (default) or 'phase'.
phasestring–With no item: anything ready in this phase.
pollnumber–Seconds between log checks (default 2).
timeoutnumber–Seconds to wait (default 300, at most 1800: a client may time a tool call out, so call again to keep waiting). 0 asks without waiting.

No output schema declared.

No examples provided.

ddflow_workflow ~115

The rules THIS project runs by, in one answer: the gates every task and phase passes in order, the completion rules, parallelism caps, reviewers, and where each value came from. Call it before your first `ddflow_claim` and after any workflow change: instructions are computed once at start. Exit 1: the workflow does not hang together (e.g. a pipeline names a gate with no definition). Read-only.

NameTypeReqDescription
as_agentstring–A subagent's own name, this call only.

No output schema declared.

No examples provided.

ddflow_workflow_drop ~130

Take a gate out of both pipelines, and out of `required`, so it does not become a requirement that requires nothing. WRITES config. The gate's DEFINITION stays, so putting it back is one call. Exit 2: it was in neither pipeline. Ask the operator first: a gate in a pipeline is a check somebody added on purpose.

NameTypeReqDescription
as_agentstring–A subagent's own name, this call only.
dry_runboolean–Report the change and write nothing.
idstringyesThe gate id to remove from the pipelines.

No output schema declared.

No examples provided.

ddflow_workflow_gate ~323

Define or change one gate, optionally in a pipeline. WRITES the project config. `command` makes a COMMAND gate (ddflow runs it; its exit code is the evidence); `prompt` makes an AGENT gate (you perform and record it); one is required. `into` adds it to a pipeline (`after` places it, default last); `required` blocks completion without it. Ask the operator first; prefer dry_run.

NameTypeReqDescription
afterstring–Place it after this gate. Default: last.
applies_tostring–'task', 'phase' or 'both'.
as_agentstring–A subagent's own name, this call only.
commandstring–Shell command to run. Makes it a command gate.
cwdstring–'worktree' (default) or 'repo'.
dry_runboolean–Report the change and write nothing.
idstringyesThe gate id, e.g. 'lint' or 'security_scan'.
intostring–Add to the 'task', 'phase' or 'both' pipeline(s).
promptstring–What an agent must do. Makes it an agent gate.
requiredboolean–An item cannot complete without it.
reviewerstring–'different_family' to require a reviewer from another model family, or 'same_family_ok'.
timeoutinteger–Seconds before the command counts as unavailable.
titlestring–Human-readable name.

No output schema declared.

No examples provided.

ddflow_workflow_pipeline ~161

Set the ordered list of gates a task or a phase must pass. WRITES this project's config. Validated first: a gate id with no definition is REFUSED (it would block every item that reaches it); define it with `ddflow_workflow_gate`. Ask the operator before changing a pipeline -- it governs every future item, and removing a gate removes a check somebody added on purpose. dry_run shows what it would do.

NameTypeReqDescription
as_agentstring–A subagent's own name, this call only.
dry_runboolean–Report the change and write nothing.
gatesstringyesComma-separated gate ids, in the order they run.
whichstringyes'task' or 'phase'.

No output schema declared.

No examples provided.

ddflow_workflow_state ~62

One-call project overview: workflow, rules, decisions, active work, queue and bugs with names and priorities, blockers, and a Mermaid gate diagram. Read-only.

NameTypeReqDescription
as_agentstring–A subagent's own name, this call only.

No output schema declared.

No examples provided.

Common questions

What is the ddflow MCP server?

ddflow is an MCP server listed in the public MCP registry as io.github.delian/ddflow-mcp. Work-queue kernel for AI coding agents: dependencies, worktree isolation, quality gates, recovery. This page covers its PyPI package (ddflow-mcp).

Is the ddflow MCP server safe to use?

ddflow scores 49 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 October 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the ddflow MCP server expose?

ddflow exposes 106 tools: ddflow_abandon, ddflow_bisect, ddflow_block, ddflow_board, ddflow_brief, and 101 more. Their descriptions and schemas cost roughly 16,898 tokens of context every time the server is loaded.

Is the ddflow MCP server still maintained?

ddflow is still listed as active in the MCP registry. We last reached this channel on 5 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the ddflow MCP server under?

ddflow declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.