Craft score factors
Editorial quality82
Practical utility82
Trust & transparency85
Freshness88
Engagement quality6
Momentum100
Decision guide · Reviewed Sep 23, 2026 · AI Knowledge Management, AI Personal Notes & Second Brain
Craft
78.3
Pieces
76.1Choose Craft when you need writers, planners, and knowledge workers who value visual layout, native multi-device apps, and MCP connectivity for their notes. Choose Pieces when you need developers and power users who want an automated, searchable history of their coding and research activity accessible to MCP-compatible AI models.
At a glance
The practical differences
| Decision factor | Craft | Pieces |
|---|---|---|
| Best for | writers, planners, and knowledge workers who value visual layout, native multi-device apps, and MCP connectivity for their notes | developers and power users who want an automated, searchable history of their coding and research activity accessible to MCP-compatible AI models |
| Not ideal for | teams requiring complex relational databases, organizations needing self-hosted open-source deployments, or heavy users wanting an unlimited free plan | teams with strict policies prohibiting background desktop capture, or users seeking an entirely free contextual notes assistant |
| Pricing | Pricing snapshot recorded on September 8, 2026. Official pages display geo-located pricing in Egyptian Pounds (EGP), starting at EGP 129.9/month for Plus billed annually (or EGP 162.4/month billed monthly). Team and family bundles are also offered. Check the official pricing page for your local currency. | At the September 2026 review date, Pieces offers a 7-day free trial that requires a payment card, followed by subscriptions starting at $18.99 per user per month billed monthly (with a 25% annual discount) or an Enterprise tier at $22.99 per user per month. Verify current rates on the official pricing page. |
| Key difference | Craft balances high visual design standards and native client performance with modern connectivity, offering built-in Model Context Protocol (MCP) support alongside block-based document editing and daily task planning. | Pieces captures cross-tool desktop and IDE context continuously on-device and exposes it to coding assistants like Cursor and Claude via an integrated Model Context Protocol (MCP) server. |
| Overall rank | #102 | #217 |
| Review verdict | Craft suits individual creators, researchers, and small teams who want visually refined notes, daily tasks, and whiteboards tightly integrated into a polished multi-platform workspace. It is less suitable for large enterprise organizations seeking deep relational database power, heavy spreadsheet-style formulas, or unlimited free block usage. | Pieces suits software engineers and technical operators who switch constantly between IDEs, browser tabs, documentation, and chat apps, needing a zero-effort audit trail that feeds their AI coding tools. It is not suitable for users seeking a purely free utility, teams prohibiting background screen sampling, or environments where credit cards cannot be provided for initial testing. |
Pieces score factors
Editorial quality78
Practical utility82
Trust & transparency79
Freshness88
Engagement quality8
Momentum100
Craft strengths
- Available natively across iOS, iPadOS, macOS, visionOS, Windows, Android, and web
- Model Context Protocol (MCP) and API support for AI agent integrations
- Explicit privacy policy confirming user data is not used to train machine learning models
- Smooth visual interface combining whiteboards, docs, and embedded tasks
Pieces strengths
- Context memory is indexed and stored locally on your machine by default
- Built-in MCP server enables seamless context sharing with Cursor, Claude, and Codex
- On-device redaction strips secrets and credentials before any cloud model processing
- Provides a single subscription to switch between major LLMs from Anthropic, Google, and OpenAI
Frequently asked
Craft vs Pieces
Should I choose Craft or Pieces?+
Choose Craft when you need writers, planners, and knowledge workers who value visual layout, native multi-device apps, and MCP connectivity for their notes. Choose Pieces when you need developers and power users who want an automated, searchable history of their coding and research activity accessible to MCP-compatible AI models. ToolsRank scores Craft 78.3 and Pieces 76.1; the gap reflects editorial quality, utility, trust, and freshness, not popularity or payment.
Is Craft cheaper than Pieces?+
Craft: Pricing snapshot recorded on September 8, 2026. Official pages display geo-located pricing in Egyptian Pounds (EGP), starting at EGP 129.9/month for Plus billed annually (or EGP 162.4/month billed monthly). Team and family bundles are also offered. Check the official pricing page for your local currency. Pieces: At the September 2026 review date, Pieces offers a 7-day free trial that requires a payment card, followed by subscriptions starting at $18.99 per user per month billed monthly (with a 25% annual discount) or an Enterprise tier at $22.99 per user per month. Verify current rates on the official pricing page. Compare the plan you would actually use and verify current prices on each vendor's pricing page before purchasing.
Which is better for ai knowledge management?+
Craft currently scores higher for ai knowledge management work. Pieces remains the stronger pick when your priority is developers and power users who want an automated, searchable history of their coding and research activity accessible to MCP-compatible AI models. Avoid Craft if you are teams requiring complex relational databases, organizations needing self-hosted open-source deployments, or heavy users wanting an unlimited free plan.
Can I use Craft and Pieces together?+
Yes. Craft stands out for craft balances high visual design standards and native client performance with modern connectivity, offering built-in Model Context Protocol (MCP) support alongside block-based document editing and daily task planning. Pieces stands out for pieces captures cross-tool desktop and IDE context continuously on-device and exposes it to coding assistants like Cursor and Claude via an integrated Model Context Protocol (MCP) server. Pairing them makes sense when one workflow needs both strengths; otherwise pick the tool that matches your primary job.