Server data from the Official MCP Registry
Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.
Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.
This is a well-structured MCP server for SharedMemory with proper authentication, secure credential handling, and appropriate scoping. The server requires API keys for operation, stores credentials in environment variables (not hardcoded), and makes authenticated API calls to a remote service. Minor code quality issues around error handling and input validation do not substantially impact security. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
4 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: SHAREDMEMORY_API_KEY
Environment variable: SHAREDMEMORY_API_URL
Environment variable: SHAREDMEMORY_VOLUME_ID
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-sharedmemoryai-memory": {
"env": {
"SHAREDMEMORY_API_KEY": "your-sharedmemory-api-key-here",
"SHAREDMEMORY_API_URL": "your-sharedmemory-api-url-here",
"SHAREDMEMORY_VOLUME_ID": "your-sharedmemory-volume-id-here"
},
"args": [
"-y",
"@sharedmemory/mcp-server"
],
"command": "npx"
}
}
}From the project's GitHub README.
Model Context Protocol server for SharedMemory. Gives Claude Code, Claude Desktop, Cursor, VS Code Copilot, and other MCP-compatible tools persistent memory.
The fastest way to set up SharedMemory — one command, no JSON editing:
# Interactive — picks your client, asks for your API key
npx -y @sharedmemory/mcp-server install
# Or specify everything inline
npx -y @sharedmemory/mcp-server install --cursor --api-key sm_live_... --volume your-volume-id
# Install for all supported clients at once
npx -y @sharedmemory/mcp-server install --all --api-key sm_live_...
Supported clients: --claude-code, --claude, --cursor, --vscode, --windsurf, --all
If you prefer to edit config files yourself:
One command:
claude mcp add sharedmemory -- npx -y @sharedmemory/mcp-server
Or with env vars:
claude mcp add --env SHAREDMEMORY_API_KEY=sm_live_... \
--env SHAREDMEMORY_VOLUME_ID=your-volume-id \
sharedmemory -- npx -y @sharedmemory/mcp-server
Or create .mcp.json in your project root to share with your team:
{
"mcpServers": {
"sharedmemory": {
"command": "npx",
"args": ["-y", "@sharedmemory/mcp-server"],
"env": {
"SHAREDMEMORY_API_KEY": "${SHAREDMEMORY_API_KEY}",
"SHAREDMEMORY_API_URL": "https://api.sharedmemory.ai",
"SHAREDMEMORY_VOLUME_ID": "${SHAREDMEMORY_VOLUME_ID}"
}
}
}
}
Tip: Copy the included
CLAUDE.mdinto your project root to teach Claude Code when and how to use SharedMemory proactively.
~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"sharedmemory": {
"command": "npx",
"args": ["-y", "@sharedmemory/mcp-server"],
"env": {
"SHAREDMEMORY_API_KEY": "sm_live_...",
"SHAREDMEMORY_API_URL": "https://api.sharedmemory.ai",
"SHAREDMEMORY_VOLUME_ID": "your-volume-id"
}
}
}
}
.cursor/mcp.json in your project root:
{
"mcpServers": {
"sharedmemory": {
"command": "npx",
"args": ["-y", "@sharedmemory/mcp-server"],
"env": {
"SHAREDMEMORY_API_KEY": "sm_live_...",
"SHAREDMEMORY_API_URL": "https://api.sharedmemory.ai",
"SHAREDMEMORY_VOLUME_ID": "your-volume-id"
}
}
}
}
.vscode/mcp.json:
{
"servers": {
"sharedmemory": {
"command": "npx",
"args": ["-y", "@sharedmemory/mcp-server"],
"env": {
"SHAREDMEMORY_API_KEY": "sm_live_...",
"SHAREDMEMORY_API_URL": "https://api.sharedmemory.ai",
"SHAREDMEMORY_VOLUME_ID": "your-volume-id"
}
}
}
}
~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"sharedmemory": {
"command": "npx",
"args": ["-y", "@sharedmemory/mcp-server"],
"env": {
"SHAREDMEMORY_API_KEY": "sm_live_...",
"SHAREDMEMORY_API_URL": "https://api.sharedmemory.ai",
"SHAREDMEMORY_VOLUME_ID": "your-volume-id"
}
}
}
}
| Variable | Required | Default | Description |
|---|---|---|---|
SHAREDMEMORY_API_KEY | Yes | — | Agent API key |
SHAREDMEMORY_API_URL | No | https://api.sharedmemory.ai | API endpoint |
SHAREDMEMORY_VOLUME_ID | No | — | Default volume |
| Tool | Description |
|---|---|
remember | Store a fact or note |
query | Retrieve context BEFORE answering — semantic search over memories |
get_entity | Get entity details and relationships |
search_entities | Search entities by name |
get_graph | Knowledge graph overview |
list_volumes | List accessible volumes |
delete_memory | Delete a memory by ID |
update_memory | Update a memory by ID |
feedback | Submit feedback on memory relevance |
batch_remember | Store multiple memories at once |
get_memory | Retrieve a specific memory by ID |
get_profile | Auto-generated user profile from memories |
get_context | Get a context block for LLM prompting |
set_instruction | Store a persistent rule all agents will follow |
list_instructions | List all active instructions for a volume |
list_documents | List uploaded documents |
| URI | Description |
|---|---|
memory://graph | Knowledge graph for the default volume |
| Name | Description |
|---|---|
summarize-knowledge | Summarize all knowledge in a volume |
what-do-you-know-about | Retrieve everything known about a topic |
https://docs.sharedmemory.ai/sdks/mcp-server
MIT
Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
by Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.