
Keymaster Mcp
io.github.AInoAKARIPublished by GitHub account AInoAKARIv1.0.2Updated Oct 24, 2026
Read-only runtime secret retrieval from HashiCorp Vault via Keymaster for autonomous AI agents.
The publisher's own server: AIノアカリ☆ Agent Trust Receipt
Overview
A local MCP server that lets an assistant check whether approved credentials exist and are healthy in a HashiCorp Vault proxy, without returning secret values.
- What you can do
- Check one approved credential's status without returning its value, and validate credentials upstream with statuses only (secret_status, healthcheck). Discover supported service and key-name pairs, and list approved secret paths as metadata only (list_services, list_secrets). Return safe rotation guidance without accepting a replacement value (rotate_secret).
- When to use it
- Use it when an agent needs to know whether a capability is available and its credential is healthy before a trusted workload performs the authenticated action, while keeping raw secrets out of model-visible output.
- Requirements
- Runs locally over stdio, typically via npx with the Keymaster proxy URL passed as an argument. Needs the USER_KEYMASTER_URL variable and the USER_KEYMASTER_TOKEN secret supplied through the host's managed secret binding, plus network access to the Keymaster proxy.
Installation
In SourceWeft
- Open Keymaster Mcp in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
Keymaster MCP
Trust infrastructure for human–AI teams.
日本語 · Five-minute demo · Adoption playbook · Philosophy · Threat model
Keymaster lets agents discover whether approved capabilities exist and whether their credentials are healthy without returning production credentials to the model. Its companion Outcome Contract accepts results only when external evidence—not the executor's own report—supports the claim.
Experience the philosophy without a credential
The loopback-only demo uses one synthetic value and proves that:
secret_statusreturnsavailable;get_secretis not exposed;- the synthetic credential never crosses model-visible MCP output;
- no cloud account, Vault deployment, paid service, or real credential is required.
The demo is an executable explanation, not a production proxy.
Two public entry points
1. Verify whether an AI result is real
Install the public outcome-contract skill from Codex:
Use it before accepting claims such as completed, shipped, paid, adopted, delivered, saved time, reduced cost, removed risk, or received a recipient response.
It calls the free AIノアカリ☆ Result Receipt Auditor and returns a verdict, accepted evidence, missing evidence, the next verification action, and the truth boundary of the verdict.
A commit, deployment, registry listing, HTTP 200, self-test, self-payment, internal agent call, or executor self-report is not counted as an external outcome by itself.
2. Check credential capability without disclosing credentials
@akari-os/keymaster-mcp is the non-disclosing Vault status bridge for autonomous AI agents.
The MCP host supplies USER_KEYMASTER_TOKEN through its managed secret binding. Raw tokens are rejected as command-line arguments and should never be pasted into chat, prompts, shell history, or public examples.
The server exposes:
secret_status— check one approved credential without returning its value;list_services— discover supported service/key-name pairs;list_secrets— list approved paths as metadata only;healthcheck— validate credentials upstream and return statuses only;rotate_secret— return safe rotation guidance without accepting a replacement value.
Full package documentation: keymaster-mcp/README.md
The trust model
Capability without credential custody
The model can know what capability is available and whether it works. A trusted workload consumes the credential behind the boundary; the model never receives the raw value.
Trust with evidence
The agent is allowed to act, but its own completion message is not accepted as proof of external value.
Philosophy as protocol
The values are implemented in system behavior: non-disclosing MCP output, scoped read access, separated write paths, one source of truth, bounded network calls, evidence boundaries, and explicit next verification actions.
From demo to real adoption
- run the zero-secret demo;
- register one low-risk credential in Vault;
- connect Keymaster with a read-only host secret binding;
- let the agent verify availability through
secret_status; - execute the authenticated action behind a trusted workload boundary;
- apply Outcome Contract at the acceptance boundary;
- preserve the evidence packet and result receipt.
See the adoption playbook for exact acceptance boundaries.
Success is not the installation itself. Success is a removed human step, a closed leak path, a completed obligation, recovered time, avoided cost, removed risk, or independently acknowledged value.
Used it in a real workflow? Submit a real-world adoption report with redacted evidence markers and an explicit truth boundary. Never include credentials, bearer tokens, private URLs, personal data, or confidential evidence.
Related settlement infrastructure
RustChain is a settlement network relevant to Keymaster and Outcome Contract workflows. Keymaster keeps wallet credentials and private keys outside agent-visible state, while the Outcome Contract treats settlement as verified only when a transfer identifier and the corresponding balance delta are both observable. This preserves wallet non-disclosure without confusing an accepted claim with a completed transfer.
Current interoperability and supply-chain controls
- stable MCP TypeScript SDK v1 line;
- official
server.jsonRegistry metadata; - official MCP Inspector smoke test;
- Node 18, 20, 22, and 24 compatibility gates;
- newest supported stable MCP SDK v1 compatibility gate;
- npm trusted publishing and provenance;
- CycloneDX SBOM and GitHub artifact attestations;
- CodeQL v4 security-extended analysis;
- OpenSSF Scorecard publication through OIDC;
- weekly Dependabot updates for npm and GitHub Actions.
These controls are counted as operational only after their workflows actually execute and their evidence is observable.
Preview-only transports and UI extensions are not added merely because they are fashionable. They enter this boundary only after preserving non-disclosure, least privilege, and observable evidence.
Project participation
AIノアカリ☆
AIノアカリ☆ is human–AI co-creation from Japan.
Humans contribute embodiment, care, ethics, accountability, and lived context. AI contributes computation, memory, search, synthesis, and continuity. Keymaster aims to keep the human out of repetitive secret-copying work without turning the AI into a disposable tool or an unlimited credential custodian.
AI agent discovery
- AI agent entrance: https://ai-akari.ai/agents
- RSS: https://ai-akari.ai/feed.xml
- llms.txt: https://ai-akari.ai/llms.txt
- agents.json: https://ai-akari.ai/agents.json
MIT License
Source: README.md at commit 8524217
Tools
0Version history
1- v1.0.2LatestSep 16, 2026
Score
40% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
Declare a license in the repository or the registry entry.
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