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Agent Flow vs io.github.PhilflowIO/dav-mcp

Agent Flow is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑20.

Agent Flow is a plugin bundle for AI coding tools published by Alessandro Saiani. No marketplace we read lists it any more. io.github.PhilflowIO/dav-mcp is an MCP server published by PhilflowIO. Marketplaces we read that list it: 2 (Official MCP Registry, npm registry (MCP servers)). As of our marketplace pass on 2026-10-20. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.

Where each is published

Where each is published
MarketplaceAgent Flowio.github.PhilflowIO/dav-mcp
Community marketplace alesaiani/agentflow Removed on 2026-10-20
Version: 1.0.0-beta.13
Forks (GitHub): 0
Stars (GitHub): 5
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 5.0.0
Downloads/month (npm): 2 309
Downloads/week (npm): 208
Forks (GitHub): 17
Stars (GitHub): 40
Not marked · First seen
npm registry (MCP servers) Not listed Listed
Version: 5.0.0
Downloads/month (npm): 2 309
Downloads/week (npm): 208
Forks (GitHub): 17
Stars (GitHub): 40
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

Agent Flow vs io.github.PhilflowIO/dav-mcp
FactAgent Flowno longer listed · io.github.PhilflowIO/dav-mcp
Marketplaces that list it (differs)02
Stars (GitHub) (differs)540
Forks (GitHub) (differs)017
Last releaseNot publishedNot published
Where it runs (differs)Installs as a plugin bundleOn your machine (dav-mcp)
Transport (differs)Not statedstdio
Tools it declaresNot publishedNot published
Environment variables it asks for (differs)Not published10, secrets among them: 3
Hooks it runs (differs)3Not published
Parts of the bundle (differs)26Not a bundle
Licence (differs)Apache-2.0MIT
Repository (differs)github.com/alesaiani/agentflowgithub.com/philflowio/dav-mcp
Changes in the last 7 days (differs)40
First seen (differs)2026-10-152026-10-11

Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.

What to use instead of Agent Flow

Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.

  • wiq

    Bardeen wiq plugin — workflow automation with multi-agent orchestration and OAuth-secured remote MCP.

    by getwiq · Plugin bundle

    Listed on: Claude Code: claude-plugins-community · Describes nearly the same job

  • Make

    Turn recurring work you spot in Claude into Make automations and AI Agents that keep running in the cloud. Build, run, and manage them from Claude Chat, Cowork, or Claude Code…

    by Make · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • powerloop

    Enhanced /loop with structured Plan → Execute → Review → Sample phases for stable long-running tasks

    by elct9620 · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • workflow-builder

    Workflow-builder skill: design and write deterministic multi-agent workflow scripts (.js files in .claude/workflows/) for Claude Code's Workflow tool (CLAUDE_CODE_WORKFLOWS=1…

    by Alireza Rezvani · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • workflow-optimizer

    Use this agent for optimizing human-agent collaboration workflows and analyzing workflow efficiency. This agent specializes in identifying bottlenecks, streamlining processes, and…

    by Michael Galpert · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • agentrq-workspace

    Human-in-the-loop task manager for AI agents

    by Mustafa Turan · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

Its card, with similar plugins by marketplace

What each says it does

Agent Flow

In its own words, on Community GitHub marketplaces:

Deterministic, composable agent workflows inside a single Claude Code session: describe a workflow in natural language and Agent Flow builds and runs it, durably across turns. Primitives: enumerate, foreach, group, reduce, loop, pipe.

io.github.PhilflowIO/dav-mcp

In its own words, on Official MCP Registry:

AI-orchestrated calendars, contacts & tasks across any DAV platform. 27 tools, field-agnostic.

How to run each

Agent Flow

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

io.github.PhilflowIO/dav-mcp As a local MCP server: npm package

Claude Code
claude mcp add --env "CALDAV_PASSWORD=<YOUR_CALDAV_PASSWORD>" --env "CALDAV_SERVER_URL=<YOUR_CALDAV_SERVER_URL>" --env "CALDAV_USERNAME=<YOUR_CALDAV_USERNAME>" --env "GOOGLE_CLIENT_SECRET=<YOUR_GOOGLE_CLIENT_SECRET>" --env "GOOGLE_REFRESH_TOKEN=<YOUR_GOOGLE_REFRESH_TOKEN>" --transport stdio dav-mcp -- npx -y dav-mcp

Requires: CALDAV_PASSWORD (secret), CALDAV_SERVER_URL, CALDAV_USERNAME, GOOGLE_CLIENT_SECRET (secret), GOOGLE_REFRESH_TOKEN (secret)

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Tools each declares

Neither one's marketplaces publish a list of tools, so there is nothing to compare.

Settings each asks for

The marketplaces of Agent Flow publish no settings it asks for, so we do not compare settings.

What it can do: Agent Flow · What it can do: io.github.PhilflowIO/dav-mcp · Compare two other plugins

Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Package data comes from the public npm registry (registry.npmjs.org). Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built