Enigmagent
FreeNot checkedLocal AES-256-GCM encrypted vault for AI agents. Resolve {{PLACEHOLDER}} secrets in prompts at runtime — LLMs never see real API keys. Argon2id key derivation,
About
Local AES-256-GCM encrypted vault for AI agents. Resolve {{PLACEHOLDER}} secrets in prompts at runtime — LLMs never see real API keys. Argon2id key derivation, zero cloud.
README
npm version npm downloads License: MIT Crypto Glama MCP GitHub stars
Local encrypted vault MCP server. Your LLM types
{{OPENAI_KEY}}. The real value never reaches the model — not in prompts, not in logs, not in conversation history.
npx enigmagent-mcp --vault ./my.vault.json
That's the entire install. Works with Claude Desktop, Cursor, Continue.dev, Cline, Open WebUI, AnythingLLM, LM Studio, Zed, and anything else that speaks MCP.
⭐ Star this repo if you've ever pasted a token you regretted.
The 30-second pitch
You ask Claude to call your GitHub API. Claude needs GITHUB_TOKEN. Three options that all suck:
- Paste it in the chat → it lives in the provider's logs forever
- Put it in env vars → it leaks the moment Claude reads
.envwhile debugging - Skip the agent → you lose the whole point
Option 4: type {{GITHUB_TOKEN}} in the prompt. EnigmAgent intercepts at the MCP boundary, decrypts locally with AES-256-GCM, and returns the real token only when the requesting origin matches the secret's bound domain. The model literally never has the value.
Setup per client
Claude Desktop
~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"enigmagent": {
"command": "npx",
"args": ["-y", "enigmagent-mcp", "--vault", "/absolute/path/to/my.vault.json"]
}
}
}
Restart Claude. Two new tools appear: enigmagent_resolve and enigmagent_list.
Cursor
~/.cursor/mcp.json:
{
"mcpServers": {
"enigmagent": {
"command": "npx",
"args": ["-y", "enigmagent-mcp", "--vault", "/abs/path/my.vault.json"]
}
}
}
Continue.dev
~/.continue/config.yaml:
mcpServers:
- name: enigmagent
command: npx
args: ["-y", "enigmagent-mcp", "--vault", "/abs/path/my.vault.json"]
Cline (VS Code)
cline_mcp_settings.json:
{
"mcpServers": {
"enigmagent": {
"command": "npx",
"args": ["-y", "enigmagent-mcp", "--vault", "/abs/path/my.vault.json"]
}
}
}
Open WebUI
# uses mcpo (https://github.com/open-webui/mcpo) as bridge
mcpo --port 8000 -- npx enigmagent-mcp --vault /abs/path/my.vault.json
Custom REST integration
npx enigmagent-mcp --mode rest --port 3737 --vault /abs/path/my.vault.json
Then POST /resolve with {"placeholder": "OPENAI_KEY", "origin": "https://api.openai.com"} returns the decrypted value (only when the origin matches the secret's bound domain).
CI / headless mode
Skip the interactive password prompt with env vars (only do this in trusted environments):
ENIGMAGENT_USER=alice ENIGMAGENT_PASS=… npx enigmagent-mcp --vault ./my.vault.json
Without these, the server starts in locked mode if there's no TTY — useful behind mcp-proxy and similar wrappers.
MCP tools exposed
| Tool | Description |
|---|---|
enigmagent_resolve |
Resolve a placeholder to its vault value. Domain binding enforced — the requesting origin must match the secret's bound domain |
enigmagent_list |
List secret names + their bound domains. Never returns values |
// example tool call
{
"name": "enigmagent_resolve",
"arguments": {
"placeholder": "GITHUB_TOKEN",
"origin": "https://api.github.com"
}
}
// → returns the decrypted token string
How it works
LLM emits tool call: fetch({headers: {Authorization: "Bearer {{OPENAI_KEY}}"}})
│
┌───────────────▼───────────────┐
│ enigmagent-mcp (this server) │
│ • match placeholder name │
│ • check origin == bound dom. │
│ • decrypt with AES-256-GCM │
└───────────────┬───────────────┘
│ real token
▼
HTTPS to api.openai.com
The plaintext value exists in process memory for one event-loop tick. Never logged, never in stdout, never visible to the model.
Security model
| Layer | Implementation |
|---|---|
| KDF | Argon2id (m=64 MiB, t=3, p=1) — @noble/[email protected], bundled |
| Encryption | AES-256-GCM, 96-bit nonce per entry |
| Domain binding | Every secret pinned to a domain; resolver rejects mismatched origins |
| Master key | Lives in process memory only — never written to disk |
| Vault file | Encrypted JSON, plaintext never persisted |
What it does not protect against: a compromised process reading session memory, a malicious MCP server you've connected to with permission to call enigmagent_resolve, side-channels (timing, swap, core dumps). Full threat model: docs/THREAT_MODEL.md.
Full ecosystem
This repo is the MCP server alone. The full EnigmAgent project includes:
- Browser extension (Chrome/Firefox/Edge) for credentials inside web forms
- Python SDK for LangChain / LlamaIndex / CrewAI
- REST + stdio dual-mode API
- Domain-bound document injection (
{{DOC:filename}})
Main repository: https://github.com/Agnuxo1/EnigmAgent
EnigmAgent is part of the OpenCLAW / P2PCLAW ecosystem of privacy-preserving local AI tooling — a multi-agent scientific research network where dozens of LLM agents need credentials and none of them should have them.
License
MIT — see LICENSE.
Contributing
Pull requests welcome. Security disclosures: see SECURITY.md in the main repo.
Install Enigmagent in Claude Desktop, Claude Code & Cursor
unyly install enigmagent-mcpInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add enigmagent-mcp -- npx -y enigmagent-mcpStep-by-step: how to install Enigmagent
FAQ
Is Enigmagent MCP free?
Yes, Enigmagent MCP is free — one-click install via Unyly at no cost.
Does Enigmagent need an API key?
No, Enigmagent runs without API keys or environment variables.
Is Enigmagent hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Enigmagent in Claude Desktop, Claude Code or Cursor?
Open Enigmagent on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
by modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
by xuzexin-hzCompare Enigmagent with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All ai MCPs
