agentram-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@agentram-mcpStore that my favorite color is blue"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
agentram-mcp
Model Context Protocol server for AgentRAM. Give your AI agents persistent memory in Claude Desktop, Cline, Cursor, and any other MCP-compatible client.
What you get
10 MCP tools that map 1:1 to the AgentRAM REST API.
Personal agent memory
store_memory: Write a value under anagent_id+key. Optionalttl_daysfor auto-expiry.retrieve_memory: Read a memory back byagent_id+key. Refunds the credit on 404.list_memories: List everything stored for an agent, newest first.search_memories: Case-insensitive text search across keys and values. No embeddings needed.delete_memory: Permanently delete a memory.
Shared multi-agent memory
create_namespace: Create a shared memory pool that multiple agents can read and write to. Free.store_shared_memory: Write to a shared namespace.retrieve_shared_memory: Read from a shared namespace.list_shared_memories: List everything in a namespace.
Utility
check_credits: Show your current account balance. Free, no credit deducted.
Each non-free tool costs 1 credit. Reads and writes are the same price.
Related MCP server: Mem0 MCP Server
Get an API key
Sign up at agentram.dev. You get 100 free credits on signup. No credit card required.
Install in Claude Desktop
Edit claude_desktop_config.json:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
Add:
{
"mcpServers": {
"agentram": {
"command": "npx",
"args": ["-y", "agentram-mcp"],
"env": {
"AGENTRAM_API_KEY": "agentram_your_key_here"
}
}
}
}Restart Claude Desktop. The 10 tools will appear in the MCP picker.
Install in Cline (VS Code)
In Cline's MCP settings, add:
{
"mcpServers": {
"agentram": {
"command": "npx",
"args": ["-y", "agentram-mcp"],
"env": {
"AGENTRAM_API_KEY": "agentram_your_key_here"
}
}
}
}Install in Cursor
In Cursor's MCP settings, add:
{
"mcpServers": {
"agentram": {
"command": "npx",
"args": ["-y", "agentram-mcp"],
"env": {
"AGENTRAM_API_KEY": "agentram_your_key_here"
}
}
}
}Try it locally before publishing
npm install
npm run build
AGENTRAM_API_KEY=your_key node dist/index.jsOr open the MCP Inspector web UI:
AGENTRAM_API_KEY=your_key npx @modelcontextprotocol/inspector node dist/index.jsThe Inspector lets you list tools and invoke each one manually to verify everything works against the real API.
Environment variables
Variable | Required | Description |
| Yes | Your AgentRAM API key, starts with |
| No | Override the API base URL. Defaults to |
Links
AgentRAM website: agentram.dev
Full API docs: agentram.dev/docs.html
License
MIT
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/seanmarkwei/agentram-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server