MCP Servers
cachly-dev/cachly-mcp
AI memory brain for Claude Code, Cursor, Copilot & Windsurf — 51 MCP tools. Persistent sessions, lessons learned, semantic search, Team Brain, managed Valkey/Redis. Free tier.
Our verdict
We have not reviewed cachly-dev/cachly-mcp yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About cachly-dev/cachly-mcp
Cachly MCP provides 51 MCP tools that give Claude Code, Cursor, Copilot, and Windsurf persistent memory across sessions. It stores lessons learned and enables semantic search, with a Team Brain feature and managed Valkey/Redis backend. A free tier is available.
Best for
Developers using multiple AI coding assistants who need persistent, shareable memory across sessions.
Use cases
- Maintain context and learned patterns across multiple AI coding sessions
- Share project knowledge among team members via Team Brain
- Retrieve past solutions or decisions using semantic search
Notes
1 stars on GitHub. Last updated 2026-05-30. Licensed Apache-2.0.
Pros
- Large toolset (51 MCP tools) for flexible memory management
- Supports multiple popular AI coding assistants
- Free tier lowers barrier to entry
Cons
- Low community adoption (1 star on GitHub)
- Dependency on managed Valkey/Redis may add operational complexity
- Limited documentation or community support due to early stage
Key facts
What we have checked
- Days since the last commit
- 0
- GitHub forks
- 1
- GitHub stars
- 2
- Days to a first reply on issues
- 173
- Open issues
- 4
- Releases in the last 90 days
- 1
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
How to use
How to set it up
As the listing publishes it. We have not run this install.
Install
npx @cachly-dev/mcp-server@latest demoTools exposed
Pre-deployteam_confirmteam_auditmadc_deliberatememory_crystalizeteam_crystallizememory_consolidateckg_inspectCACHLY_JWTCACHLY_BRAIN_INSTANCE_IDCACHLY_API_URLCACHLY_NO_TELEMETRY
Clients the listing names (not checked here)
Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Continue, VS Code, ChatGPT
Install
Add cachly-dev/cachly-mcp to your client
Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.
Claude Code
Config checkedRun in your terminal (runs on your computer)
claude mcp add --transport stdio cachly-dev-cachly-mcp -- npx -y @cachly-dev/mcp-server@0.10.214Claude Desktop
Config checkedAdd to claude_desktop_config.json (runs on your computer)
{
"mcpServers": {
"cachly-dev-cachly-mcp": {
"command": "npx",
"args": [
"-y",
"@cachly-dev/mcp-server@0.10.214"
]
}
}
}Cursor
Config checkedAdd to .cursor/mcp.json (runs on your computer)
{
"mcpServers": {
"cachly-dev-cachly-mcp": {
"command": "npx",
"args": [
"-y",
"@cachly-dev/mcp-server@0.10.214"
]
}
}
}VS Code
Config checkedAdd to .vscode/mcp.json (runs on your computer)
{
"servers": {
"cachly-dev-cachly-mcp": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cachly-dev/mcp-server@0.10.214"
]
}
}
}Codex
Config checkedAdd to ~/.codex/config.toml (runs on your computer)
[mcp_servers.cachly-dev-cachly-mcp]
command = "npx"
args = ["-y", "@cachly-dev/mcp-server@0.10.214"]- ChatGPT: ChatGPT connects only to remote servers that need no API key.
Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.
Works with
What cachly-dev/cachly-mcp connects to
5 clients, each with how we know and when we checked.
| Works with | Type | How we know | Checked |
|---|---|---|---|
| Claude Code | Client | Install recipe matches the client's documented formatRuns locally, version 0.10.214Config checked | Claude Code docs |
| Claude Desktop | Client | Install recipe matches the client's documented formatRuns locally, version 0.10.214Config checked | Claude Desktop docs |
| Cursor | Client | Install recipe matches the client's documented formatRuns locally, version 0.10.214Config checked | Cursor docs |
| VS Code | Client | Install recipe matches the client's documented formatRuns locally, version 0.10.214Config checked | VS Code docs |
| Codex | Client | Install recipe matches the client's documented formatRuns locally, version 0.10.214Config checked | Codex docs |
Health and security
Is cachly-dev/cachly-mcp looked after, and what do its setup files show
Health score
53 out of 100
| Part | Points | What we saw |
|---|---|---|
| Recent activity | 30 of 30 | Last push 0 days ago |
| Releases | 7.5 of 15 | 1 release in 90 days |
| Issue replies | 0 of 20 | First reply in 173 days (median) |
| Maintainer | 15 of 15 | Owned by an organisation |
| Official source | 0 of 20 | Community server |
Alternatives
Alternatives to cachly-dev/cachly-mcp
| Record | Type | How we know | Checked |
|---|---|---|---|
| topoteretes/cogneeThis is an alternative to it | MCP server | Named in the listing | Not dated |
| vectorize-io/hindsightThis is an alternative to it | MCP server | Named in the listing | Not dated |
Compare
Compare cachly-dev/cachly-mcp side by side
Sources
Where this comes from
- GitHubRegistry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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