How do I install the memora mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `MEMORA_DB_PATH`, `MEMORA_ALLOW_ANY_TAG`, `MEMORA_GRAPH_PORT`, `MEMORA_STORAGE_URI`, `CLOUDFLARE_API_TOKEN`, `AWS_PROFILE`, `AWS_ENDPOINT_URL`, `MEMORA_CLOUD_ENCRYPT` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

SSyncDev

Start a project

Memora MCP Server

"You never truly know the value of a moment until it becomes a memory."

Remote serverstreamable-httpPython

What is the Memora MCP Server?

"You never truly know the value of a moment until it becomes a memory."

What it actually does

💾 Persistent Storage - SQLite with optional cloud sync (S3, R2, D1)
📂 Hierarchical Organization - Section/subsection structure with auto-hierarchy assignment
📦 Export/Import - Backup and restore with merge strategies
🔍 Semantic Search - Vector embeddings (TF-IDF, sentence-transformers, OpenAI)
🎯 Advanced Queries - Full-text, date ranges, tag filters (AND/OR/NOT), hybrid search
🔀 Cross-references - Auto-linked related memories based on similarity

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the Memora MCP Server

{
  "mcpServers": {
    "memora": {
      "command": "npx",
      "args": ["-y", "wrangler"],
      "env": {
        "MEMORA_DB_PATH": "your-value",
        "MEMORA_ALLOW_ANY_TAG": "your-value",
        "MEMORA_GRAPH_PORT": "your-value",
        "MEMORA_STORAGE_URI": "your-value",
        "CLOUDFLARE_API_TOKEN": "your-value",
        "AWS_PROFILE": "your-value",
        "AWS_ENDPOINT_URL": "your-value",
        "MEMORA_CLOUD_ENCRYPT": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

Variable	Description	Required
MEMORA_DB_PATH	Filesystem location the server is allowed to use.	Optional
MEMORA_ALLOW_ANY_TAG	Configuration value read at startup.	Optional
MEMORA_GRAPH_PORT	Configuration value read at startup.	Optional
MEMORA_STORAGE_URI	Configuration value read at startup.	Optional
CLOUDFLARE_API_TOKEN	Credential the server authenticates with.	Yes
AWS_PROFILE	Configuration value read at startup.	Optional
AWS_ENDPOINT_URL	Endpoint or connection string the server talks to.	Yes
MEMORA_CLOUD_ENCRYPT	Configuration value read at startup.	Optional

Frequently asked questions

"You never truly know the value of a moment until it becomes a memory." Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.

Alternatives to the Memora MCP Server

Puppeteer

Official

The original Chromium automation reference server — simple, screenshot-driven browser control.

Browser AutomationTypeScript★ 63.0k

Fonoster

Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.

AI & ML ServicesTypeScript★ 8.1k

Egnyte MCP Server

An MCP (Model Context Protocol) server that connects to your Egnyte domain and exposes document search and retrieval functionality for use in AI agents like Cursor, Claude, or OpenAI.

AI & ML Services

Frontapp

Front API client with Model Context Protocol support

Developer Tools

Neo — AI/ML Engineering

AI/ML engineering MCP server for Neo — submit tasks, track execution, and retrieve outputs.

Productivity & Project ManagementPython

Think MCP Host

Enables seamless integration of Model Context Protocol (MCP) resources, tools, and prompts into conversations powered by various language models

AI & ML ServicesPython★ 2