Memory MCP vs Playwright MCP
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Memory MCP suits teams needing open-source access, persistent memory focus, and 89,768 GitHub stars in current listing data. Playwright MCP suits teams needing open-source access, browser automation focus, and 36,346 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | Memory MCP | Playwright MCP |
|---|---|---|
| GitHub Stars | 89.8K | 36.3K |
| Contributors | 426 | 70 |
| Last Commit | Aug 20, 2026 | Aug 21, 2026 |
| Open Issues | 533 | 3 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | mcp-servers | mcp-servers |
| Trending | No | No |
Choose Memory MCP if you need
- • Memory MCP is the stronger pick when Persistent Memory matters because that capability is listed only on its profile.
- • Memory MCP shows broader GitHub adoption with 89,768 stars versus 36,346 for Playwright MCP.
- • Memory MCP has a larger visible contributor base (426 vs 70).
Choose Playwright MCP if you need
- • Playwright MCP is the stronger pick when Browser Automation matters because that capability is listed only on its profile.
- • Playwright MCP is the cleaner fit if you specifically need Browser Automation workflows from the catalog tags.
Meaningful differences
- • GitHub adoption: Memory MCP shows 89,768 stars versus 36,346 for Playwright MCP.
- • Contributor count: Memory MCP lists 426 contributors and Playwright MCP lists 70.
Shared capabilities
- • No shared capabilities are explicitly listed in the stored metadata.
Shared Tags
Only in Memory MCP
Only in Playwright MCP
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
Source links
About Memory MCP
The official Anthropic memory MCP server gives AI assistants persistent, cross-session memory using a local knowledge graph stored as a JSON file. Claude can create entities (people, projects, concepts), record relations between them, and add observations over time — then recall that information in future sessions. Ideal for long-running projects where continuity matters: the assistant remembers your architecture decisions, team conventions, and in-progress work without you having to repeat context.
View full listingAbout Playwright MCP
Playwright MCP is Microsoft's official MCP server that exposes Playwright's full browser automation capabilities to AI coding assistants. It enables Claude Code, Cursor, and other MCP clients to navigate web pages, click elements, fill forms, take screenshots, extract page content, and run end-to-end tests — all via natural language instructions. Built on the battle-tested Playwright engine that powers CI pipelines across the industry.
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