接入你的智能体
发布者自己的 URL。不是 PlugMCP 端点。
用我们的密钥与日志托管一份副本。
https://trytentra.com/api/mcp上方的 Claude 按钮会打开 Claude，并填好名称和 URL。你仍需在那里确认。
claude mcp add --transport http io.github.rdanieli-tentra https://trytentra.com/api/mcpRun in a terminal.
{ "mcpServers": { "io.github.rdanieli-tentra": { "command": "npx", "args": [ "-y", "mcp-remote", "https://trytentra.com/api/mcp" ] } }}claude_desktop_config.json
远程 URL 还是本机命令？ 两种安装方式的区别
Dogfood benchmark on our own monorepo: 99.4% token reduction (156.8× ratio) across 8 "where is X implemented?" queries — 114,644 tokens via file re-read vs 731 tokens via query_symbols. Full write-up →
cd your-repo
npx tentra-mcp init --hook
One command:
post-commit hook so the code graph auto-refreshes after every commit — no manual re-indexingrepo_id from the git remote and saves it to .tentra/metadata.jsonThen grab your API key at trytentra.com/settings, replace YOUR_TENTRA_API_KEY in the generated config, reload your IDE, and ask your agent:
Index this codebase with Tentra and list the god-nodes
From here on, every git commit fires a background re-index. Your agents stay caught up automatically.
Skip the hook: drop
--hook— just writes IDE configs. Manual stdio install:npx tentra-mcp(opens browser for GitHub device-flow auth on first tool call). API key instead:npx tentra-mcp --key YOUR_API_KEY.
Tentra is an AI-native architecture platform for engineering teams. Describe a system — get a diagram and 14-framework code exports. Index your repo — agents query a structured graph of files, symbols, imports, and call edges instead of re-grepping source every session.
This MCP server gives your AI assistant 36 tools:
Add to your IDE's MCP config — no local install needed:
Cursor (Settings > Features > MCP > Add Server):
{
"tentra": {
"type": "sse",
"url": "https://trytentra.com/api/mcp?key=YOUR_API_KEY"
}
}
Claude Code (.mcp.json in project root):
{
"mcpServers": {
"tentra": {
"type": "sse",
"url": "https://trytentra.com/api/mcp?key=YOUR_API_KEY"
}
}
}
npx tentra-mcp
Authenticates automatically via GitHub on first use. Credentials are saved to ~/.tentra/credentials.
Cursor config for local server:
{
"tentra": {
"command": "npx",
"args": ["tentra-mcp"]
}
}
Claude Code (.mcp.json):
{
"mcpServers": {
"tentra": {
"command": "npx",
"args": ["tentra-mcp"]
}
}
}
Once connected, just talk to your AI:
"Design a payment system with Stripe, Kafka, and PostgreSQL"
→ AI calls create_architecture → diagram at trytentra.com/arch/xxx
"Scan this codebase and generate the architecture"
→ AI calls analyze_codebase → detects services, DBs, queues
"Export this architecture to Java Spring Boot"
→ AI calls export_architecture → downloads zip with project scaffold
"What changed since last time? Is my diagram outdated?"
→ AI calls sync_architecture → drift report with accuracy score
Java (Spring Boot), Node.js (Fastify), Python (FastAPI), Go (chi), Rust (Axum), .NET (ASP.NET), Kotlin (Ktor), PHP (Laravel), Ruby (Rails), Elixir (Phoenix), Docker Compose, Mermaid, ADR, Terraform
This repo contains the open-source MCP server. The Tentra API and web app are a separate hosted service at trytentra.com.
npm install --legacy-peer-deps
npm run build # tsc --noEmit + esbuild bundle → dist/index.js
npm start # run the bundled server
npm test # vitest
The published npm package (tentra-mcp) ships only the bundled dist/ — source is here for auditability and community contributions.
MIT
Memory for AI coding agents. Call graphs + refactor safety + persistent code context. 35 MCP tools.
{ "mcpServers": { "io.github.rdanieli-tentra": { "url": "https://trytentra.com/api/mcp", "headers": {} } }}工具
暂无工具列表。远程服务器在首次健康检查后会获得工具列表。
常见问题
在本页复制适用于 Cursor、Claude Desktop、Claude Code 或 VS Code 的 http 配置。它使用发布者的安装方式，而不是 PlugMCP 代理。
发布者列出了以下环境变量：TENTRA_API_KEY。
Tentra — Memory For AI Coding Agents 通过 HTTP 访问。
上次检查时间：2026-11-10。 Memory for AI coding agents. Call graphs + refactor safety + persistent code context. 35 MCP tools.