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PopNx MCPMCP servers for people who use AI · explained in plain words

Replen

by replenhqversion 1.3.5i★ –iRuns on your computer
Registry nameio.github.replenhq/replen

Install

Overview

Description from the maker (original English)

A local intelligence layer for AI coding agents. Maps your repos, matches the open-source frontier.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: DIGEST_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: DIGEST_BASE_URL, DIGEST_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "replen": {
      "command": "npx",
      "args": [
        "-y",
        "@replen/mcp"
      ],
      "env": {
        "DIGEST_BASE_URL": "your-value",
        "DIGEST_TOKEN": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add replen --env DIGEST_BASE_URL=your-value --env DIGEST_TOKEN=your-value -- npx -y @replen/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "replen": {
      "command": "npx",
      "args": [
        "-y",
        "@replen/mcp"
      ],
      "env": {
        "DIGEST_BASE_URL": "your-value",
        "DIGEST_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "replen": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@replen/mcp"
      ],
      "env": {
        "DIGEST_BASE_URL": "your-value",
        "DIGEST_TOKEN": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • DIGEST_BASE_URL env
    Backend base URL. Set automatically by npx replen; override only to self-host.
  • DIGEST_TOKEN secret env
    Optional hosted-tier token. Set automatically by npx replen; not needed to self-host.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account replenhq, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32441 servers in this category
  • Published to the registry more recently than 16% of the other 32441 servers in this category
  • Basic checks equal to or better than 100% of the other 32441 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Replen safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: DIGEST_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.3.5) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Intervals MCP

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@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)
ToolReturns
replen_matchThe cwd repo's candidate inventory: repo metadata + cosine scores + whyShortlisted lines, everything Watchtower surfaced and Brainstem scored against this codebase's capabilities
replen_record_triageRecords the agent's per-candidate verdict (adopt / port / cherry-pick / clean-room / upgrade / skip / defer) with score, effort, and reasoning
replen_stateRecords the user's action on a candidate: star / hide / handoff / surfaced
replen_capture_insightStores a portfolio insight from triage: a transferable lesson or a sharpened boundary
Atlas (the knowledge graph + memory)
ToolReturns
replen_leapsNon-obvious cross-project / adjacency / cross-user connections from Atlas, each with a via path
replen_recallMemory across your whole portfolio: past verdicts, grounded reports, capabilities, and notes for a query
replen_cartPulls a saved or built-in Atlas Cart's rows in-session (Blind spots, Triage board, Keystones, Brought in, Stale deferrals, By domain, or your saved carts)
replen_queueThe awareness-to-action queue: list / add / done / dismiss items carried over from the Brief
replen_handoffOpens a handoff PR in the matched project's repo
Onboarding (grounding a project)
ToolReturns
replen_onboard_statePer-repo grounding state across the portfolio, the cheap pre-flight for /replen-onboard
replen_set_capabilitiesWrites a project's grounded capabilities + report (read locally by the agent, never uploaded as raw files)
replen_set_tagsWrites a project's ranked domain tag cloud
replen_set_versionsWrites a project's pinned direct-dependency + runtime versions
replen_set_productGroups sibling repos under one product

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:

npx -y @replen/mcp setup --token=ing_xxxxxxxx --base=https://app.replen.dev

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.replen to your Claude Code config
  • command: "replen-mcp" - resolved via npx on each host launch, or npm i -g @replen/mcp for a slightly faster startup
  • env: DIGEST_BASE_URL + DIGEST_TOKEN
  • Existing MCP servers (firebase, neon, etc.) are preserved untouched
  • A .bak of your config is saved next to it for one-step recovery

If you'd rather hand-edit your config, the block to add is:

{

"mcpServers": { "replen": { "command": "replen-mcp", "env": { "DIGEST_BASE_URL": "https://app.replen.dev", "DIGEST_TOKEN": "ing_xxxxxxxx" } } } }

Other commands

replen-mcp --version     # print version

replen-mcp --help # show available subcommands replen-mcp # run as stdio MCP server (your host spawns this; you usually don't run it directly)

Example session

You: anything new today for my project X?

Agent: [calls replen_match({repo: "you/my-project-x"})] 2 candidates for this repo, top one is roboflow/supervision - 38k★ - MIT - cosine 0.71 · whyShortlisted: fills your "object tracking" capability. Want me to triage them against your current codebase?

You: yes Agent: [reads the candidate README + greps your src/ for related code] supervision drops in for your hand-rolled annotation utilities and deletes your ByteTrack reimplementation. Strong fit. [calls replen_record_triage({repo: "roboflow/supervision", verdict: "adopt", ...})] Recorded. Want a handoff PR?

You: yes Agent: [calls replen_state({repo: "roboflow/supervision", status: "handed_off", ...})] [calls replen_handoff({matchId: 96})] PR opened: github.com/you/my-project-x/pull/142

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_handoff` is 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).

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