---
title: "planning-with-files vs google_workspace_mcp"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/othmanadi-planning-with-files-vs-taylorwilsdon-google-workspace-mcp"
tools: ["othmanadi-planning-with-files", "taylorwilsdon-google-workspace-mcp"]
---

# planning-with-files vs google_workspace_mcp

*GraphCanon updated Aug 26, 2026*

## Verdict

Pick planning-with-files if a tool designed for providing persistent file-based planning in long-running AI coding tasks; pick google_workspace_mcp if aI-driven server and CLI for interactive Google Workspace control using MCP.

[planning-with-files](https://www.skills.sh/othmanadi/planning-with-files/planning-with-files) reports 26k GitHub stars, 2.2k forks, and 9 open issues, last pushed Aug 19, 2026. [google_workspace_mcp](https://workspacemcp.com) has 3.1k stars, 963 forks, and 188 open issues, last pushed Aug 26, 2026. Figures are from public GitHub metadata via [planning-with-files's repository](https://github.com/OthmanAdi/planning-with-files) and [google_workspace_mcp's repository](https://github.com/taylorwilsdon/google_workspace_mcp).

| | [planning-with-files](/tools/othmanadi-planning-with-files.md) | [google_workspace_mcp](/tools/taylorwilsdon-google-workspace-mcp.md) |
| --- | --- | --- |
| Tagline | Persistent file-based planning for AI coding agents | Control Google Workspace apps via AI MCP server and CLI tool |
| Stars | 26,250 | 3,070 |
| Forks | 2,199 | 963 |
| Open issues | 9 | 188 |
| Language | Shell | Python |
| Adopt for | A tool designed for providing persistent file-based planning in long-running AI coding tasks. | AI-driven server and CLI for interactive Google Workspace control using MCP |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | AI Agents, Developer Tools | AI Agents, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [planning-with-files](/tools/othmanadi-planning-with-files.md) | [google_workspace_mcp](/tools/taylorwilsdon-google-workspace-mcp.md) |
| --- | --- | --- |
| Open issues (now) | 9 | 188 |
| Stars delta | +691 (30d) | +158 (30d) |
| Open issues delta | +4 (30d) | +23 (30d) |
| Full report | [trust report](/tools/othmanadi-planning-with-files/trust.md) | [trust report](/tools/taylorwilsdon-google-workspace-mcp/trust.md) |

## Decision facts: planning-with-files

- **Pricing:** freemium - Freely available under MIT License; community-supported.
- **Adopt for:** A tool designed for providing persistent file-based planning in long-running AI coding tasks.

## Decision facts: google_workspace_mcp

- **Adopt for:** AI-driven server and CLI for interactive Google Workspace control using MCP

## Choose when

### Choose planning-with-files if…

- planning-with-files is primarily Shell; google_workspace_mcp is Python.
- Pricing: Freely available under MIT License; community-supported..
- Tags unique to planning-with-files: agent-skills, ai-agents, claude-code, codex.
- - When your coding agent needs to retain plans across sessions without context loss.

### Choose google_workspace_mcp if…

- google_workspace_mcp is primarily Python; planning-with-files is Shell.
- Tags unique to google_workspace_mcp: ai, google-workspace, mcp-server, model-context-protocol.
- google_workspace_mcp ships Docker support for self-hosted deployment.
- You need AI-powered automation across multiple Google Workspace apps like Gmail, Calendar, Docs, Sheets

## When NOT to use planning-with-files

- - When you do not need persistent storage for plans, such as short tasks where context is unlikely to be lost.
- - For projects that strictly prohibit the use of external file storage for tracking progress due to security concerns.
- - If your workflow heavily relies on in-memory planning strategies that are more suitable than disk-based solutions.

## When NOT to use google_workspace_mcp

- If your project focuses solely on a single app or does not benefit from broader automated control over multiple services
- For scenarios where MCP compatibility is not necessary and simpler direct API access suffices

## Common questions

### What is the difference between planning-with-files and google_workspace_mcp?

planning-with-files: Persistent file-based planning for AI coding agents. google_workspace_mcp: Control Google Workspace apps via AI MCP server and CLI tool. See the comparison table for live GitHub stats and shared categories.

### When should I choose planning-with-files over google_workspace_mcp?

Choose planning-with-files over google_workspace_mcp when planning-with-files is primarily Shell; google_workspace_mcp is Python; Pricing: Freely available under MIT License; community-supported.; Tags unique to planning-with-files: agent-skills, ai-agents, claude-code, codex; - When your coding agent needs to retain plans across sessions without context loss.

### When should I choose google_workspace_mcp over planning-with-files?

Choose google_workspace_mcp over planning-with-files when google_workspace_mcp is primarily Python; planning-with-files is Shell; Tags unique to google_workspace_mcp: ai, google-workspace, mcp-server, model-context-protocol; google_workspace_mcp ships Docker support for self-hosted deployment; You need AI-powered automation across multiple Google Workspace apps like Gmail, Calendar, Docs, Sheets.

### When should I avoid planning-with-files?

- When you do not need persistent storage for plans, such as short tasks where context is unlikely to be lost. - For projects that strictly prohibit the use of external file storage for tracking progress due to security concerns. - If your workflow heavily relies on in-memory planning strategies that are more suitable than disk-based solutions.

### When should I avoid google_workspace_mcp?

If your project focuses solely on a single app or does not benefit from broader automated control over multiple services For scenarios where MCP compatibility is not necessary and simpler direct API access suffices

### Is planning-with-files or google_workspace_mcp more popular on GitHub?

planning-with-files has more GitHub stars (26,250 vs 3,070). Stars measure visibility, not whether either tool fits your constraints.

### Are planning-with-files and google_workspace_mcp open source?

Yes - both are open-source projects on GitHub (planning-with-files: MIT, google_workspace_mcp: MIT).

### Where can I find alternatives to planning-with-files or google_workspace_mcp?

GraphCanon lists graph-backed alternatives at [planning-with-files alternatives](/tools/othmanadi-planning-with-files/alternatives) and [google_workspace_mcp alternatives](/tools/taylorwilsdon-google-workspace-mcp/alternatives) ([planning-with-files markdown twin](/tools/othmanadi-planning-with-files/alternatives.md), [google_workspace_mcp markdown twin](/tools/taylorwilsdon-google-workspace-mcp/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/othmanadi-planning-with-files-vs-taylorwilsdon-google-workspace-mcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, planning-with-files or google_workspace_mcp?

planning-with-files: Very active. google_workspace_mcp: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for planning-with-files and google_workspace_mcp?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [planning-with-files trust report](/tools/othmanadi-planning-with-files/trust); [google_workspace_mcp trust report](/tools/taylorwilsdon-google-workspace-mcp/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=othmanadi-planning-with-files`](/api/graphcanon/graph?tool=othmanadi-planning-with-files)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
