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rdanieli/tentra-mcp

rdanieli/tentra-mcp

Describe systems in natural lang
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add tentra-mcp -- npx -y tentra-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
6 ★ · rdanieli/tentra-mcp · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 6 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 rdanieli/tentra-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

tentra-mcp

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Memory for AI coding agents. Persistent code graph + AI-generated architecture diagrams — MCP-native. Works in Cursor, Claude Code, Codex, and Windsurf.
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 →
Quick Start (60 seconds)
One command:
1. Writes MCP config for **Cursor / Claude Code / Codex / Windsurf** (whichever are installed)
2. Installs a git post-commit hook so the code graph auto-refreshes after every commit — no manual re-indexing
3. Auto-derives your repo_id from the git remote and saves it to .tentra/metadata.json
Then grab your API key at trytentra.com/settings, replace YOUR_TENTRA_API_KEY in the generated config, reload your IDE, and ask your agent:
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.
What is Tentra?
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**:
Architecture (10 tools)
| Tool | Description |
|------|-------------|
| create_architecture | Design a new system from a description |
| update_architecture | Modify an existing architecture |
| get_architecture | Read architecture details |
| list_architectures | Browse all saved designs |
| analyze_codebase | Scan local code and generate diagram |
| lint_architecture | Quality checks (9 rules: orphans, SPOFs, god services) |
| sync_architecture | Detect drift between diagram and code |
| get_spec_alignment | Mid-implementation drift check — changed files in, spec context + drift signals out |
| export_architecture | Export to 14 frameworks (Java, Python, Go, Rust, etc.) |
| create_flow | Create step-by-step flow visualization |
Code Graph — Write (4 tools)
| Tool | Description |
|------|-------------|
| index_code | Walk a repo, Tree-sitter locally, start a semantic indexing job |
| index_code_continue | Resume an in-progress indexing job |
| record_semantic_node | Persist an agent-extracted semantic annotation |
| get_index_job | Check status of an indexing job |
Code Graph — Read (13 tools)
| Tool | Description |
|------|-------------|
| query_symbols | Fuzzy trigram search across indexed symbols |
| find_references | Every resolved caller of a symbol — refactor-safety primitive |
| safe_rename | Patch plan (definition + every call site) for renaming a symbol |
| explain_codebase | Agent-ready narrative walkthrough of a whole repo |
| get_symbol_neighbors | BFS traversal in the call/import graph |
| get_service_code_graph | Subgraph for a canvas service |
| explain_code_path | Shortest path between two symbols with semantic context |
来源
awesome · https://github.com/rdanieli/tentra-mcp
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