
Replen
io.github.replenhq由 GitHub 账号 replenhq 发布v1.3.5更新于 Oct 24, 2026
A local intelligence layer for AI coding agents. Maps your repos, matches the open-source frontier.
概览
Replen 是一个本地 MCP 服务器,让 AI 编程助手把当前打开的代码库与开源项目进行匹配、记录评估结论,并检索跨项目记忆。
- 可以做什么
- 将当前仓库与候选开源项目匹配,返回评分和入选理由,并记录每个候选的评估结论与工作量估计。记录用户对候选的操作(收藏、隐藏、交接、已呈现),并保存评估中得到的组合级洞察。查询知识图谱中的跨项目关联,检索过往结论与笔记,读取已保存或内置的 Atlas Cart 视图。管理从简报延续的行动队列(列出、添加、完成、忽略),并在匹配项目的仓库中发起交接拉取请求。为项目建立基础信息:写入能力与报告、排序后的领域标签、锁定的依赖与运行时版本,以及产品分组;另有帮助工具作为工具索引。
- 适用场景
- 当你希望 AI 编程助手评估开源项目是否适合当前打开的代码库、跨仓库记录采纳决策,并在不离开对话的情况下把这些决策转化为交接拉取请求时使用。
- 运行要求
- 通过 npx 或全局安装 @replen/mcp 作为本地进程运行,需要 Node.js。需要 replen 账号,以及在 replen 设置页面获取的令牌,通过 DIGEST_TOKEN 传入,另需 DIGEST_BASE_URL(安装命令会自动设置,自托管时可覆盖)。需要访问 replen API 的网络连接,发起交接拉取请求时还需访问 GitHub。
安装
在 SourceWeft 中
- 打开 控制台中的 Replen,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
@replen/mcp
Smarter AI Development workflows. MCP server that brings replen - the AI that asks "can we do this better?" on your codebase - inside Claude Code / Codex / any MCP host.
While your AI coding tool waits for prompts, replen reads your code against the ecosystem every morning. This MCP lets the agent act on the results without leaving chat:
- "what new tools shipped this week that fit my project?"
- "is github.com/owner/repo worth integrating into the codebase I have open?"
- "open handoff PRs for everything I starred"
What it exposes
replen ships 15 tools. Three moving parts sit behind them: Brainstem matches, Watchtower watches, Atlas remembers. The tools group under Brainstem, Atlas, and onboarding.
Brainstem (the matching loop, in-session on your own subscription tokens)
Atlas (the knowledge graph + memory)
Onboarding (grounding a project)
Plus replen_help, the tool index.
The core tool is replen_match: it returns the cwd repo's candidate inventory (metadata + cosine + whyShortlisted) with no LLM call on our side, so the host agent reasons about fit against your actual open codebase in context, then records each call via replen_record_triage. Atlas now has two halves: the graph/explore view and Carts, browsable filterable views over your decision graph that replen_cart reads in-session.
Install (one-liner)
Get your token from your replen /settings page → "Connect Claude Code", then run:
That writes the MCP entry into ~/.claude.json (with a backup of the original) and is fully idempotent - re-run it any time you rotate the token.
Restart Claude Code to pick up the new server.
What it actually does under the hood
- Adds
mcpServers.replento your Claude Code config command: "replen-mcp"- resolved via npx on each host launch, ornpm i -g @replen/mcpfor a slightly faster startupenv:DIGEST_BASE_URL+DIGEST_TOKEN- Existing MCP servers (firebase, neon, etc.) are preserved untouched
- A
.bakof your config is saved next to it for one-step recovery
If you'd rather hand-edit your config, the block to add is:
Other commands
Example session
Costs
- Read-only tools (
replen_match/replen_cart/replen_recall/replen_leaps) cost nothing - pure JSON shuttle. - Triage (the per-candidate verdict + writeup) is the agent's own reasoning, paid through your Claude subscription inside the session, never on our side. Replen stores no LLM API key and makes no per-candidate model call; the only server-side model work is cheap embeddings + a catalogue classifier on Replen's own account.
replen_handoffis one GitHub write call. No LLM on our side.
No additional replen-side cost vs the web dashboard - the MCP server queries the same API as app.replen.dev.
License
Apache-2.0 - see LICENSE. Permissive open source: free to use, modify, and redistribute for any purpose, with an explicit patent grant. "Replen" and the other named surfaces remain trademarks (Apache §6).
来源:mcp/README.md,提交 1897e7a
工具
0版本历史
1- v1.3.5最新Sep 16, 2026
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