mcp server
io.github.AInoAKARI/keymaster-mcp
Read-only runtime secret retrieval from HashiCorp Vault via Keymaster for autonomous AI agents.
Description as published by the maintainer. Source
- version 1.0.2
- active
- retrieval
- evaluation
active — Most recent push to the repository was 2026-08-03. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 1 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-03 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 4 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.0.2 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-04-02 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-04-02 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
AIノアカリ☆ Agent Trust Receipt
— last commit 2026-07-31, shares ai-akari
Read-only Remote MCP for externally grounded AI agent trust receipts.
-
io.github.Agnuxo1/enigmagent-mcp
— last commit 2026-04-26, shares security, vault
Local AES-256-GCM vault for AI agents. Secrets stay local, LLMs never see real API keys.
-
keyward
— last commit 2026-07-19, shares security, vault
Local encrypted secret broker for AI agents: request keys by name, approve each use over MCP.
-
Vault MCP
— last commit 2026-02-28, shares security, vault
MCP server for credential isolation — bots use passwords and API keys without seeing them
-
FastMCP server for bidirectional sync between personal and team Obsidian vaults
— last commit 2026-08-06, shares vault
FastMCP server for bidirectional sync between personal and team Obsidian vaults.
-
io.github.bch1212/agentvault
— last commit 2026-06-06, shares vault
Credential vault for AI agents — Fernet-encrypted keys, per-agent budgets, audit logs.
-
io.github.bitatlas-group/bitatlas
— last commit 2026-08-06, shares vault
Zero-knowledge encrypted storage for humans and AI agents. Client-side AES-256-GCM, EU-hosted.
-
AgentTrust — Identity & Trust for A2A Agents
— last commit 2026-04-09, shares security
Identity, trust, and A2A orchestration for autonomous AI agents. Official A2A partner.
-
ai.kernora/agent-sec
— last commit 2026-07-31, shares security
Zero-install security baseline for AI coding agents — OWASP/CWE-cited rules over MCP.
-
ai.radmail/radmail-mcp
— last commit 2026-07-04, shares security
Email OS for agents - real-inbox search, triage, commitments, and a verifiable BEC hard-stop.
These share tags the maintainers applied themselves, such as ai-akari, security, vault. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
Also from ainoakari
-
AIノアカリ☆ One-Minute Akari
— repository gone
A free one-minute reset for people, delivered by AI, with no account or personal data.
How the author describes it
Topics the maintainer set on GitHub: ai-agent, ai-akari, mcp, secret-management, security, vault.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab