Potencialize seu agente
O comando do próprio publicador. Não é um endpoint do PlugMCP.
Host a copy with our keys and logs.
npx -y @cachly-dev/[email protected]O Claude Code não tem link de instalação para um comando local. Copie o comando abaixo e execute-o em um terminal.
claude mcp add cachly-dev-mcp-server -- npx -y @cachly-dev/mcp-server@0.10.253Execute em um terminal.
{ "mcpServers": { "cachly-dev-mcp-server": { "command": "npx", "args": [ "-y", "@cachly-dev/[email protected]" ] } }}claude_desktop_config.json
URL remota ou um comando na sua máquina? Como as duas instalações diferem
Rodar no PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
AbrirDo publicador
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.
Memory for coding agents: your AI stores every fix and finds it again when the problem returns. MCP server for Claude Code, Cursor, Copilot, Windsurf, Codex and Gemini CLI, hosted in the EU.
@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.
/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 Dev 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:
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.
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.
npx @cachly-dev/mcp-server@latest autopilot
autopilot finds the editors you use and writes the MCP config for each. 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.
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.
Install cachly Brain. It creates your Brain on first start, with no account form.
Install 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.
The server is listed in the official
MCP Registry as
io.github.cachly-dev/mcp-server. Clients that browse the registry find it by name. The
entry points at this npm package.
smart_recall looks up the lessons that match. It combines
keyword search (BM25), meaning-based search and the causal graph, in 11 languages.causal_trace walks from the symptom to the cause and to the fix
that worked.brain_predict lists failure patterns from past incidents.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.
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.
Example:
causal_trace(problem="auth breaks after restart")
→ Root: k8s:namespace-terminating
→ Via: keycloak:jwks-race
→ Fix: PollUntilContextTimeout 3min
Run health to see what is wired up in your editor. The full catalog is generated from
src/tools.ts.
npx @cachly-dev/mcp-server@latest autopilot # One command: signs in, configures every editor, fills the Brain from git
Every command below runs as npx @cachly-dev/mcp-server@latest <command>. Key and Brain
instance come from the environment or from ~/.cachly/credentials.json, the file autopilot writes.
The method behind bench is described in BENCH.md.
Tip: learn from every merged PR. Run
learn-gitin CI with the cachly-brain-setup GitHub Action andmode: learn. Each merged PR then teaches your Brain.
Every CI run is a lesson. A red→green transition is a proven fix, and a green→red one is a
known cause. Ready-to-paste templates live in src/ci-integration/:
CACHLY_API_KEY and CACHLY_BRAIN_INSTANCE_ID.include: remote:. It adds hidden jobs for learn, scan, confirm and hygiene;
extend the ones you want.push-ci-outcome.mjs is a
standalone Node.js helper with no dependencies. It always exits 0, so your CI never
fails because of a Brain push.Already have months of CI history? The brain_from_ci tool ingests past outcomes in one
call, the way brain_from_git ingests commits.
Does my AI need to call session_start by hand?
No. A session starts on the first tool call and ends when the editor closes.
Can my whole team share one Brain?
Yes. Use team_learn and team_recall, or
npx @cachly-dev/mcp-server@latest invite [email protected].
Is my code sent to cachly servers?
Only if you call index_project yourself. It stores a short excerpt (up to
summary_chars, 1200 characters by default) per indexed file, on your own EU instance.
Every other tool stores lesson text, commit messages, session summaries and key-value
context, but no source code. Storage is in Germany and embeddings are computed in the EU.
API traffic passes through Cloudflare, a US company. The
EU guide lists every data flow.
What is causal_trace?
Given an error, it walks the causal knowledge graph to find the root cause, the
intermediate causes and the fix that worked, with its date and commands.
What if I hit the context-window limit mid-session?
Call compact_recover. It rebuilds your context from the Crystal, the recent
sessions and the registry of work in progress. Usually one tool call is enough.
How do I write lessons my agent finds again? Lead with the decisive fact. The lessons guide shows how, with examples.
npx @cachly-dev/mcp-server@latest autopilot detects and configures the editors below.
Manual snippets are in Manual Setup.
Which sign-in path each case uses:
{
"mcpServers": {
"cachly": {
"command": "npx",
"args": ["-y", "@cachly-dev/mcp-server@latest"]
}
}
}
Without a key, the first tool call creates a test Brain on EU servers. No sign-up.
Run npx @cachly-dev/mcp-server@latest autopilot to use your own account instead.
{
"mcpServers": {
"cachly": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@cachly-dev/mcp-server@latest"]
}
}
}
{
"context_servers": {
"cachly": {
"command": {
"path": "npx",
"args": ["-y", "@cachly-dev/mcp-server@latest"]
}
}
}
}
Embeddings turn text into vectors for the meaning-based search. By default, cachly computes them on its own servers in the EU as soon as you are signed in. Your text goes to a third-party provider only when you name that provider yourself:
Run npx @cachly-dev/mcp-server@latest health to see which provider is active.
Point at your own backend. Every install can talk to a private backend instead of
api.cachly.dev:
# One command: run the setup against your self-hosted backend
npx @cachly-dev/mcp-server@latest autopilot --api-url https://cachly.mycorp.internal
# Or without prompts
npx @cachly-dev/mcp-server@latest autosetup \
--instance-id <uuid> --api-key <cky_live_...> \
--api-url https://cachly.mycorp.internal
autosetup writes CACHLY_API_URL into the editor config only when it differs from the
default cloud. Default installs stay clean, and self-hosted installs keep talking to your
backend on every editor start.
Current prices and limits are on cachly.dev/pricing.
The free tier needs no credit card.
The VS Code extension shows the same Brain in the editor:
Solve it once. From then on, your AI knows.
npx @cachly-dev/mcp-server@latest autopilot
Memory for coding agents: your AI stores every fix and finds it again when the problem returns. MCP server for Claude Code, Cursor, Copilot, Windsurf, Codex and Gemini CLI, hosted in the EU.
{ "mcpServers": { "cachly-dev-mcp-server": { "command": "npx", "args": [ "-y", "@cachly-dev/[email protected]" ] } }}Ferramentas
Ainda não há lista de ferramentas. Servidores remotos recebem uma após a primeira verificação de saúde.
Perguntas frequentes
Copie nesta página a configuração stdio para Cursor, Claude Desktop, Claude Code ou VS Code. Ela usa a instalação do publicador, não um proxy do PlugMCP.
Este registro não lista nenhuma variável de ambiente obrigatória.
@cachly Dev/ roda localmente via stdio.
Última verificação: 2026-11-15. Memory for coding agents: your AI stores every fix and finds it again when the problem returns. MCP server for Claude Code, Cursor, Copilot, Windsurf, Codex and Gemini CLI, hosted in the EU.