Tentra — Memory for AI Coding Agents
Quality Score
90
/100
Memory for AI coding agents. Call graphs + refactor safety + persistent code context. 35 MCP tools.
§01 Install
Remote endpoint
Streamable HTTP / SSE endpoint. Add to any MCP client that supports remote servers.
https://trytentra.com/api/mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"tentra": {
"command": "npx",
"args": [
"-y",
"tentra-mcp"
],
"env": {
"TENTRA_API_KEY": "<your-tentra_api_key>"
}
}
}
}Cursor (.cursor/mcp.json)
{
"mcpServers": {
"tentra": {
"command": "npx",
"args": [
"-y",
"tentra-mcp"
],
"env": {
"TENTRA_API_KEY": "<your-tentra_api_key>"
}
}
}
}Cline (cline_mcp_settings.json)
npx -y tentra-mcp§02 Environment variables
TENTRA_API_KEYsecret
Tentra API key (optional — device flow auth via GitHub is used by default)
§03 MCP Quality Score · methodology
freshness
25
completeness
15
installability
25
documentation
15
stability
10
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