Citadel
Overview
Description from the maker (original English)
Encrypted-first embedded database with vector search and agent memory, exposed as MCP tools
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 2 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 74/wk · ★ 4
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: Search & AI memory
- You need to fill in: CITADEL_KEY
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 2 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- You fill in yourself:
CITADEL_KEY
Values marked secret are keys to your account. Never share them or paste them into a chat.
You need
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": {
"citadeldb": {
"command": "uvx",
"args": [
"citadeldb-mcp",
"--db",
"your-value",
"--embedder",
"your-value"
],
"env": {
"CITADEL_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add citadeldb --env CITADEL_KEY=your-value -- uvx citadeldb-mcp --db your-value --embedder your-valueFill in the empty values before running it.
This one needs values on its command line, so copy the settings and fill them in.
Or copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"citadeldb": {
"command": "uvx",
"args": [
"citadeldb-mcp",
"--db",
"your-value",
"--embedder",
"your-value"
],
"env": {
"CITADEL_KEY": "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 needs values on its command line, so copy the settings and fill them in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"citadeldb": {
"type": "stdio",
"command": "uvx",
"args": [
"citadeldb-mcp",
"--db",
"your-value",
"--embedder",
"your-value"
],
"env": {
"CITADEL_KEY": "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
- Passphrase used to unlock the encrypted Citadel database
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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 11, 2026
- ! Caution
Maker matches the repo
The publisher (citadeldb.dev) is not the repo owner (yp3y5akh0v); someone else may have listed it
- ✓ Pass
Still maintained
Code last changed 44 days ago
- … 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 Search & AI memoryi
- More stars than 0% of the other 5866 servers in this category
- Published to the registry more recently than 48% of the other 5866 servers in this category
- Basic checks equal to or better than 14% of the other 5866 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 Citadel safe?
It passed 1 of 2 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: CITADEL_KEY
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 44 days ago, and the latest version (2.7.0) reached the registry 44 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: Ruflo, Context7, Metabase
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
citadeldb-mcp
mcp-name: dev.citadeldb/mcp
Model Context Protocol (MCP) server for the Citadel encrypted memory engine. Gives any MCP client (Claude Desktop, an IDE, an agent) persistent, encrypted memory.
Memory lives in a local citadeldb-mem region: AES-256 encrypted at rest, per-atom sealed and HMAC-authenticated, recalled through a hybrid vector + keyword + recency + importance fusion over a PRISM approximate nearest-neighbor index, connected by a typed edge graph, and forgotten by destroying keys (cryptographic erasure).
Install
Run it with no install. For semantic recall, pull the recommended embedder and cross-encoder reranker once, then enable both:
uvx citadeldb-mcp pull e5-large
uvx citadeldb-mcp pull ms-marco-minilm
The pull commands do not open a vault. Before serving, set CITADEL_KEY to the vault passphrase (export CITADEL_KEY="your-passphrase" on macOS/Linux or $env:CITADEL_KEY = "your-passphrase" in PowerShell), then run:
uvx citadeldb-mcp --db memory.cdl --embedder e5-large --reranker ms-marco-minilm
e5-large + ms-marco-minilm is the recommended semantic-recall setup. See the memory benchmarks for measured configurations. Models are never downloaded automatically.
Built-in pulls use release-pinned Hugging Face revisions. Each complete snapshot is verified against compiled sizes and SHA-256 digests, then stored with a BLAKE3 manifest under / / /. A flat cache created by an earlier CitadelDB release is not trusted; run pull again to create the pinned snapshot. --model-dir and --reranker-dir remain explicit bring-your-own-artifact paths and bypass the managed-cache manifest. Citadel treats those directories as user-trusted and does not attest their contents.
Or install the command with pip install citadeldb-mcp or cargo install citadeldb-mcp, then wire it into Claude Desktop (claude_desktop_config.json):
{
"mcpServers": { "citadel": { "command": "citadeldb-mcp", "args": ["--db", "/absolute/path/to/memory.cdl", "--embedder", "e5-large", "--reranker", "ms-marco-minilm"], "env": { "CITADEL_KEY": "your-passphrase" } } } }
The server supports stateless MCP 2026-07-28 discovery and per-request metadata, plus the initialize-based 2025-11-25 and 2025-06-18 revisions for existing clients.
Tools (over a bounded, cancellable JSON-RPC 2.0 stdio transport):
mem_recall- hybrid retrieval (vector + keyword + recency + importance); filter by kind/payload, expand along the memory graph, override fusion weights, and optionally attach provenance (derived_from), per-hit integrity verdicts (attest), andresource_links to each hitmem_fetch- deterministic cursor-based listing of a kind (no embedding)mem_get- bounded exact-id batch retrieval in request order, with missing atoms marked explicitlymem_edges- cursor-based typed graph introspectionmem_profile- what the memory knows about a query: recall plus its graph neighborhoodmem_summarize- per-kind digest of a regionmem_verify- re-authenticate atoms off disk: per-atom integrity verdict (authentic / tampered / key_erased / missing / plaintext_unattested)mem_remember- store one atom with optional provenance and retry-safe idempotencymem_remember_batch- atomically store an ordered batch; every entry carries a distinct idempotency key, and a changed reuse rejects the whole batchmem_update- replace a stored atom's payload in place (preserves id, edges, and embedding)mem_link/mem_unlink- add or remove one exact typed edgemem_evolve- recompute an atom's neighbor links and stored importancemem_evict- selective forgetting by policy (cryptographic erasure on encrypted regions)mem_forget- forget atoms by id and return a verifiable erasure receipt; optionally erase their region-localderived_fromclosure atomically (cryptographic erasure on encrypted regions; immutable atoms require the protected-erasure opt-in)
The citadeldb-mcp binary reads the passphrase from CITADEL_KEY and serves one region (encrypted by default); only protocol messages go to stdout, diagnostics to stderr. --region-mode plaintext disables per-atom encryption and cryptographic erasure for that region; the database remains encrypted at rest. Erasure does not revoke plaintext exports or keys retained in pre-erasure backups or snapshots.
Every server invocation must select an embedder. The CPU Candle embedder is compiled into the standalone server's default build, including the citadeldb-mcp Python package; it is not included in the default citadeldb library wheel. Models are fetched only on explicit pull.
Embedder pull names: e5-large (recommended), e5-large-v2, bge-small, bge-base, bge-large, minilm. Reranker: ms-marco-minilm. Or point --model-dir at a compatible local checkpoint for the selected catalog pipeline, and build with --features cuda-embed to run on an NVIDIA GPU.
This crate is part of the Citadel workspace.
License
Apache-2.0