agent-secrets

agent-secrets

Encrypted secrets management MCP server for AI agents, enabling secure storage, retrieval, rotation, and auditing of API keys and credentials with AES-128 encryption.

Category
Visit Server

README

agent-secrets

Encrypted secrets management MCP server for AI agents. Store, retrieve, rotate, and audit API keys, tokens, and credentials — all encrypted at rest.

Why

AI agents need access to API keys, tokens, and credentials. Hardcoding them or passing via env vars is insecure and unmanageable at scale. agent-secrets provides a single encrypted vault with audit trails, access policies, and rotation — exposed as MCP tools any agent can call.

Features

  • AES-128 encryption at rest (Fernet: AES-128-CBC + HMAC-SHA256)
  • 14 MCP tools: store, get, list, update, rotate, revoke, delete, search, audit, policies, batch, stats
  • Access policies: allow/deny patterns, type restrictions
  • Full audit log: every access tracked
  • Secret rotation: rotate with history
  • CLI + MCP server: use from terminal or any MCP-compatible agent

Quick start

pip install agent-secrets

# CLI
agent-secrets store OPENAI_API_KEY sk-... --type api_key --tag prod
agent-secrets get OPENAI_API_KEY --show
agent-secrets list
agent-secrets rotate OPENAI_API_KEY
agent-secrets audit

# MCP server
agent-secrets serve --db ~/.agent-secrets/vault.db

MCP tools

Tool Description
store_secret Store a new encrypted secret
get_secret Retrieve a secret value
list_secrets List all secrets (metadata only)
update_secret Update value/metadata
rotate_secret Rotate to new value
revoke_secret Revoke a secret
delete_secret Permanently delete
search_secrets Search by name/description/tag
get_audit_log View access history
create_policy Create access policy
list_policies List policies
check_access Check policy permission
batch_store Store multiple secrets
vault_stats Vault statistics

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured