chore: replace local MCP and Smithery with cloud MCP server (#4532)

This commit is contained in:
Saket Aryan
2026-03-25 04:58:00 +05:30
committed by GitHub
parent 2868bfe749
commit d1b4b304c7
6 changed files with 192 additions and 321 deletions
+11 -16
View File
@@ -349,23 +349,18 @@ Use the `name` field in messages to identify speakers. Mem0 maps names to entity
## MCP Integration
Model Context Protocol integration enables AI clients (Claude Desktop, Cursor, custom agents) to manage Mem0 memory autonomously.
Model Context Protocol integration enables AI clients (Claude, Claude Code, Cursor, Windsurf, VS Code, OpenCode) to manage Mem0 memory autonomously.
### Configuration
### Setup
```json
{
"mcpServers": {
"mem0": {
"command": "uvx",
"args": ["mem0-mcp-server"],
"env": {
"MEM0_API_KEY": "m0-your-api-key",
"MEM0_DEFAULT_USER_ID": "your-user-id"
}
}
}
}
Add Mem0 MCP to your clients with a single command:
```bash
npx mcp-add \
--name mem0-mcp \
--type http \
--url "https://mcp.mem0.ai/mcp" \
--clients "claude,claude code,cursor,windsurf,vscode,opencode"
```
### Available MCP Tools
@@ -377,7 +372,7 @@ The MCP server exposes 9 memory tools that AI agents can use autonomously:
### How It Works
1. Configure the MCP server in your AI client
1. Add Mem0 MCP to your AI client using the setup command above
2. The agent autonomously decides when to store/retrieve memories
3. No manual API calls needed — the agent manages memory as part of its reasoning