Official MCP Servers vs Memory MCP
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Official MCP Servers suits teams needing open-source access, web search focus, and 89,768 GitHub stars in current listing data. Memory MCP suits teams needing open-source access, persistent memory focus, and 89,768 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 | Official MCP Servers | Memory MCP |
|---|---|---|
| GitHub Stars | 89.8K | 89.8K |
| Contributors | 426 | 426 |
| Last Commit | Aug 20, 2026 | Aug 20, 2026 |
| Open Issues | 533 | 533 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | mcp-servers | mcp-servers |
| Trending | No | No |
Choose Official MCP Servers if you need
- • Official MCP Servers is the stronger pick when Web Search matters because that capability is listed only on its profile.
- • Official MCP Servers is the cleaner fit if you specifically need Mcp workflows from the catalog tags.
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 is the cleaner fit if you specifically need Memory workflows from the catalog tags.
Meaningful differences
Shared capabilities
- • Anthropic
Shared Tags
Only in Official MCP Servers
Only in Memory 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.
About Official MCP Servers
The official collection of Model Context Protocol servers maintained by Anthropic. Includes reference implementations for Brave Search, Google Drive, Google Maps, PostgreSQL, Puppeteer, Slack, Sentry, and more. Each server is a standalone package that can be installed independently. The canonical starting point for MCP integration.
View full listingAbout 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.
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