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@replen/mcp
Advanced tools
MCP server for replen — surfaces suggestions for your repo (libraries, dependency releases, security advisories) as tools your AI coding host (Claude Code, Codex, Cursor) can call. Pairs with the /replen skill.
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:
| Tool | Returns |
|---|---|
replen_today | Recent matches as JSON, filterable by days / relevance / project |
replen_search | Full-text search across your digest history |
replen_starred | Starred matches with handoff state |
replen_analyze | Raw README + repo meta + your project profiles - no LLM call on our side, lets the host agent judge fit against your open codebase |
replen_handoff | Opens a handoff PR in the matched project's repo |
replen_feedback | Records good / bad / star / unstar / hide |
The killer tool is replen_analyze - by returning raw signals instead of running our pipeline, the agent reasons about fit with your actual open codebase in context, which the digest's nightly cron doesn't have.
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.
mcpServers.replen to your Claude Code configcommand: "replen-mcp" - resolved via npx on each host launch, or npm i -g @replen/mcp for a slightly faster startupenv: DIGEST_BASE_URL + DIGEST_TOKEN.bak of your config is saved next to it for one-step recoveryIf 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"
}
}
}
}
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)
You: anything new today for my project X?
Agent: [calls replen_today({project: "my-project-x"})]
2 matches today, top one is roboflow/supervision - 38k★ - MIT -
relevance: high (85) · sourced via gh-trending.
Want me to evaluate it against your current codebase?
You: yes
Agent: [calls replen_analyze({owner: "roboflow", name: "supervision"})]
[reads README + your project's tech summary]
It's a drop-in replacement for your hand-rolled annotation utilities,
plus deletes your ByteTrack reimplementation. Strong fit. Want a
handoff PR?
You: yes
Agent: [calls replen_handoff({matchId: 96})]
PR opened: github.com/you/my-project-x/pull/142
replen_today / replen_search / replen_starred) cost nothing - pure JSON shuttle.replen_analyze is one GitHub API call + the agent's own analysis cost (paid through your Claude subscription, not replen's).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.
FSL-1.1-MIT - see LICENSE. Free for self-hosting and internal use; no competing-service use during the 2-year non-compete window; auto-converts to MIT after 2 years.
FAQs
Replen MCP server: a local intelligence layer for AI coding agents. Surfaces libraries, algorithms and techniques matched to your repos, as tools your AI host (Claude Code, Codex, Cursor) can call. Pairs with the /replen skill.
The npm package @replen/mcp receives a total of 20 weekly downloads. As such, @replen/mcp popularity was classified as not popular.
We found that @replen/mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

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