Meminal▌
by meminal
Meminal: Persistent memory for deep conversational context across platforms—keep chats coherent, personalized, and conte
Memory for deep conversational context across any platform
github stars
★ —
best for
- / AI assistants needing long-term memory
- / Multi-platform chatbots maintaining context
- / Customer service bots with conversation history
- / Personal AI companions with persistent memory
capabilities
- / Store conversational context across sessions
- / Retrieve historical interaction data
- / Maintain persistent memory between platforms
- / Search through conversation history
- / Export stored conversation data
what it does
Stores and retrieves conversational context and memory across different platforms and chat sessions. Maintains persistent memory of past interactions to provide more coherent long-term conversations.
about
Meminal is an official MCP server published by meminal that provides AI assistants with tools and capabilities via the Model Context Protocol. Meminal: Persistent memory for deep conversational context across platforms—keep chats coherent, personalized, and conte
how to install
You can install Meminal 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
Meminal 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 Meminal MCP server?
- Meminal 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 Meminal?
- This profile displays 40 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Ratings
4.8★★★★★40 reviews- ★★★★★Chaitanya Patil· Dec 28, 2024
Meminal is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Soo Gupta· Dec 28, 2024
Useful MCP listing: Meminal is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Mia Rahman· Dec 4, 2024
Meminal reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Tariq Anderson· Nov 23, 2024
Meminal has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Piyush G· Nov 19, 2024
We evaluated Meminal against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★William Agarwal· Nov 19, 2024
Meminal is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Tariq Huang· Oct 14, 2024
Strong directory entry: Meminal surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Shikha Mishra· Oct 10, 2024
Useful MCP listing: Meminal is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★William Gupta· Oct 10, 2024
Meminal is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Hana Patel· Sep 25, 2024
Useful MCP listing: Meminal is the kind of server we cite when onboarding engineers to host + tool permissions.
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