Arca▌
by arca
Arca — private data vault for structured data, semantic memory, and AI skills. Securely store and manage assistant knowl
Private data vault storing structured data, semantic memory, and skills for AI assistants
github stars
★ —
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / AI assistants needing persistent memory
- / Personal data management for AI workflows
- / Building stateful AI applications
capabilities
- / Store structured data in private vaults
- / Retrieve semantic memories and context
- / Manage AI assistant skills and capabilities
- / Search through personal data stores
what it does
Stores and retrieves private data, memories, and skills for AI assistants in a structured vault format.
about
Arca is an official MCP server published by arca that provides AI assistants with tools and capabilities via the Model Context Protocol. Arca — private data vault for structured data, semantic memory, and AI skills. Securely store and manage assistant knowl
how to install
You can install Arca in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
Arca is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
FAQ
- What is the Arca MCP server?
- Arca is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Arca?
- This profile displays 46 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★46 reviews- ★★★★★Noor Flores· Dec 28, 2024
I recommend Arca for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Aditi Farah· Dec 20, 2024
According to our notes, Arca benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Diego Anderson· Dec 16, 2024
Arca is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Pratham Ware· Dec 4, 2024
Arca has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Yash Thakker· Nov 23, 2024
According to our notes, Arca benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Mia Patel· Nov 23, 2024
Strong directory entry: Arca surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Lucas Ghosh· Nov 19, 2024
Arca is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Aanya Perez· Nov 11, 2024
Arca has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Neel Torres· Nov 7, 2024
I recommend Arca for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Mia Dixit· Oct 26, 2024
Arca reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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