Developer Tools
getmem.ai
Provides tools to sign up, view pricing, and access code examples for the getmem.ai memory API, aiding developers in integrating memory into AI agents.
ENDPOINT 1
https://getmem.ai
MCP server metadata
- Name
- WebMCP
Known tools 4
getmem_signupSign up for a getmem.ai API key. Returns the URL to the signup page where the user can claim their free $20 credit and start using the memory API.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.webmcp]
url = "https://getmem.ai"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"webmcp": {
"type": "http",
"url": "https://getmem.ai"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: webmcp
Remote MCP URL: https://getmem.ai
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"webmcp": {
"url": "https://getmem.ai"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"webmcp": {
"type": "http",
"url": "https://getmem.ai"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "webmcp",
"transport": "streamable-http",
"url": "https://getmem.ai"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.