Cachly Dev MCP

Name: Cachly Dev MCP
Author: cachly-dev

by cachly-devversion 0.10.231i★ –iRuns on your computer

Registry nameio.github.cachly-dev/mcp-server

Install

Overview

Description from the maker (original English)

Solve it once. From then on, your AI knows. Experience for coding agents, hosted in the EU.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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

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).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "cachly-dev": {
      "command": "npx",
      "args": [
        "-y",
        "@cachly-dev/mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add cachly-dev -- npx -y @cachly-dev/mcp-server

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "cachly-dev": {
      "command": "npx",
      "args": [
        "-y",
        "@cachly-dev/mcp-server"
      ]
    }
  }
}

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": {
    "cachly-dev": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cachly-dev/mcp-server"
      ]
    }
  }
}

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.

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 cachly-dev, 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 32433 servers in this category
Published to the registry more recently than 98% of the other 32433 servers in this category
Basic checks equal to or better than 100% of the other 32433 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 Cachly Dev MCP 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (0.10.231) reached the registry yesterday.

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, Symantec Cloud DLP AIops

Alternatives

Servers in the same category from other makers, sorted by stars.

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago

Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday

Install

Symantec Cloud DLP AIops

by AIops-tools

Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.

Runs on your computerUpdated today

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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.

cachly — experience for coding agents (MCP server)

Solve it once. From then on, your AI knows.

Every fix, every decision and every dead end becomes experience your AI uses at

the right moment. You build faster, and your team builds on what you figured out.

@cachly-dev/mcp-server connects cachly to Claude Code, Cursor, GitHub Copilot, Windsurf, Cline, Continue.dev, Zed, Codex CLI and Gemini CLI over MCP. It offers 124 MCP tools. Your editor lists 27 entries by default and reaches the rest through one of them, cachly_tool (details under MCP Tools below). Your AI stores a lesson after a fix, and finds it again when the same problem returns. Your Brain (the store of your lessons) lives on EU servers.

Start without an account

Claude Code

/plugin marketplace add cachly-dev/cachly-mcp

/plugin install cachly-brain@cachly

There is no JSON to write, no path to set and no key to copy. Without a key, cachly creates a test Brain on EU servers when the session starts (the plugin hook does it; the first tool call does it if the hook did not). The test Brain has 14 days of the Solo tier. After that it runs on the free tier with the same key.

Check it with claude mcp list. You should see plugin:cachly-brain:cachly … ✔ Connected. claude plugin details shows MCP servers (0) even when the server runs, because it does not count them.

The plugin adds three Claude Code hooks:

Hook	What it does
`SessionStart`	Gives your AI a short briefing: the 5 most-reused lessons (on a new Brain: starter tips)
`UserPromptSubmit`	Puts the lessons that match your prompt next to it
`Stop`	Saves a lesson when the AI's last message clearly reports a fix. It skips messages that say something failed or is unclear. It tells you nothing when it saves.

Turn on auto-update once: /plugin → Marketplaces → cachly → Enable auto-update. Claude Code leaves it off for marketplaces outside Anthropic's own. The MCP server updates itself on every start, but the hooks come with the plugin and update only with it. If an update is waiting, the first session_start of a session says so in one line.

Keep your test Brain

npx @cachly-dev/mcp-server@latest claim

You sign in once in the browser. The test Brain then moves into your account with all its lessons. Every test key is revoked, and you get a new key that is stored where your editor and hooks look for it. The Brain restarts once, which takes about 20 seconds. If you already have a free Brain, the one-Brain limit of the free tier applies and the move is refused with a message.

Cursor, Windsurf, VS Code, Cline, Continue.dev, Zed

npx @cachly-dev/mcp-server@latest autopilot

autopilot finds the editors you use and writes the MCP config for each. It also writes the rule file each editor reads in every chat (CLAUDE.md, AGENTS.md, .cursor/rules/cachly.mdc, .github/copilot-instructions.md, .windsurfrules, .clinerules; GEMINI.md, .junie/guidelines.md and .continue/rules/cachly.md where you use Gemini CLI, Junie or Continue), which tells your AI to check its memory before a task. It adds a git hook that learns from your commits and fills your Brain from your git history. You sign in once in the browser (a device code, no password, no credit card), so the Brain belongs to your own account from the start. Restart your editor afterwards.

You can also add the server by hand (see Manual Setup). Without a key, the first tool call creates the same test Brain as in Claude Code. Without a rule file, Claude Code still starts each task with smart_recall, because the server's instructions ask for it. Gemini CLI also passes them on. Some editors do not (Cline, Continue and Zed, for example); there, the rule file from autopilot is what makes your AI use its memory.

Already inside Claude, Cursor or Copilot? Paste this to your AI:

`

Set up cachly for this project. Run: npx @cachly-dev/mcp-server@latest autopilot

Follow the browser sign-in, then restart the editor.

`

VS Code extension

Install [cachly Brain](https://marketplace.visualstudio.com/items?itemName=cachly-dev.cachly-brain). It creates your Brain on first start, with no account form.

JetBrains plugin

Install [Cachly Brain](https://plugins.jetbrains.com/plugin/32059-cachly-brain) from the JetBrains Marketplace (IntelliJ IDEA, PyCharm, GoLand, WebStorm, Rider). The status bar, the Brain health and the lessons view live in the IDE. The source is at cachly-dev/cachly-intellij. The JetBrains plugin guide shows how Claude Code, Junie and JetBrains AI Assistant get the Brain over MCP.

MCP Registry

The server is listed in the official [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers?search=cachly) as io.github.cachly-dev/mcp-server. Clients that browse the registry find it by name. The entry points at this npm package.

Guides

Guide	What you find there
Claude Code hooks: which event to use when	`SessionStart`, `UserPromptSubmit`, `PreToolUse`, `Stop` and more, sorted by when they fire. What each one can block, add and change.
A UserPromptSubmit hook for Claude Code	The stdin JSON, `additionalContext`, a working Node script and five traps to avoid.
The same hooks in VS Code and Copilot CLI, Codex CLI and Gemini CLI	Which event takes context in each editor, and the exact file `setup` writes there.
Comparisons: Supermemory, Zep, claude-mem, Basic Memory, mem0, Letta	Side by side, each row with its source and a visible date, including when the other product fits better.
EU-hosted MCP server: what leaves your machine	Where data lands: storage in Germany, embeddings in the EU, the network edge, and a checklist.
Lessons learned for coding agents	How to write a lesson your agent finds again: symptom, decisive fact first, what failed, files, a check. With examples and a `LESSONS.md`.
JetBrains plugin guide	What the plugin does, and how Claude Code, Junie and JetBrains AI Assistant use the Brain.
Repo X-ray	Enter a public GitHub repo. In a few seconds you see how many problems its team has solved, and which ones more than once.

How it works

A fix, a decision or a dead end is stored as a lesson: topic, what worked, what failed, severity, file paths, commands and author.
At the start of a session, your AI receives a briefing with the last session, open failures and recent lessons.
When you ask for something, smart_recall looks up the lessons that match. It combines keyword search (BM25), meaning-based search and the causal graph, in 11 languages.
When an error appears, causal_trace walks from the symptom to the cause and to the fix that worked.
Before a deploy, brain_predict lists failure patterns from past incidents.
A git hook and the CI templates add lessons from commits and from red-to-green runs.
Lessons are shared in the team. Each one carries the name of whoever learned it.

To see what your AI would know before you install anything, run npx @cachly-dev/mcp-server@latest demo in a project folder. It reads your git history and prints your fixes, patterns and decisions. Nothing leaves your machine.

Our agreement with you. You can leave and take your data: npx @cachly-dev/mcp-server@latest export writes every lesson to lessons.md (to read) and lessons.jsonl (to reuse). Code excerpts are stored only if you call index_project yourself, and only on your own EU instance. Read what leaves your machine before you decide.

MCP Tools (124 total, 27 listed by default)

Your editor sees 27 entries by default: the daily tools (26 of them) and one dispatcher, cachly_tool. This is on purpose. The full list of 124 costs about 28,000 tokens in every request. The 27 listed entries cost about 8,000. All other tools (98 of them) run through the dispatcher:

cachly_tool(tool: "team_roster")                  run any of them by name

cachly_tool(tool: "team_roster", describe: true) get its schema first

Nothing is unreachable. The server dispatches by name, so team_roster called directly still works. Set CACHLY_ALLE_WERKZEUGE=1 to list all 124. Set CACHLY_PROFILE=lean to list 8 plus cachly_tool, or CACHLY_PROFILE=recall to list the 3 read-only tools.

Session and lessons (most used)

Tool	What it does
`session_start`	Full briefing: last session, open failures, recent lessons, Brain health
`session_end`	Save what you built; extract lessons from the summary and the git log
`learn_from_attempts`	Store a structured lesson after any fix, deploy or discovery (with `author`, `visibility`)
`recall_best_solution`	The known fix for a topic, with its success and failure history
`smart_recall`	Hybrid BM25 + semantic + causal-graph search, 11 languages, quality-reranked
`remember_context`	Keep architecture findings, decisions and file summaries
`compact_recover`	Recover your context after you hit the context-window limit

Team Brain and org knowledge graph

Tool	What it does
`team_learn` / `team_recall`	Share lessons across the team with author attribution
`team_confirm`	A reviewer confirms a lesson (senior or peer); confirmed lessons rank higher in recall
`team_assign_role` / `team_roster` / `team_whoami`	Roles (admin, reviewer, contributor, viewer), enforced once an admin is set
`team_audit`	Admin-only governance trail: every role change and lesson confirmation
`brain_who_knows`	Find your team's experts on a topic, ranked from authorship
`brain_file_map`	Experts and lessons per file, before you touch it
`team_expertise_map`	The team's skills matrix in one table
`brain_collab_pairs`	Who works with whom, with bus-factor alerts
`brain_portability`	Config snippets for 7 MCP clients, so the same Brain serves any model
`skill_gaps`	Knowledge blind spots: unresolved failures, missing attribution
`brain_coverage`	A 0–100 health score for the knowledge of your codebase
`madc_deliberate`	Specialist AI agents vote to resolve contradictory lessons
`memory_crystalize`	Distill all lessons into a Crystal for instant team context
`team_crystallize`	A Team Crystal: fixes that 2 or more teammates reached independently

Causal intelligence

Tool	What it does
`causal_trace`	Root-cause analysis through the causal knowledge graph
`brain_predict` / `brain_predict_failures`	Predict likely failures before they happen

| `brain_from_git` | Fill people, file

Only the beginning is shown; read the rest in the repo

Cachly Dev MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Symantec Cloud DLP AIops

README from the maker

cachly — experience for coding agents (MCP server)

Start without an account

Claude Code

Keep your test Brain

Cursor, Windsurf, VS Code, Cline, Continue.dev, Zed

VS Code extension

JetBrains plugin

MCP Registry

Guides

How it works

MCP Tools (124 total, 27 listed by default)

Session and lessons (most used)

Team Brain and org knowledge graph

Causal intelligence