Keyblind
Keyblind is a local-first secrets vault that encrypts API keys and credentials into an AES-256-GCM encrypted database and resolves them at runtime for AI agents without exposing values to LLM conversations. It integrates with Claude Code, Cursor, Copilot, Windsurf, Cline, and Zed via MCP protocol, allowing developers to use AI coding assistants safely without manual credential management. The tool supports 7 backends (local, 1Password, Bitwarden, AWS, GCP, Azure, env vars), provides deterministic fake secrets for sandboxed code review, and includes team vault features with SSO/OIDC, audit trails, and time-limited secret sharing. Keyblind runs entirely locally with zero telemetry and is available as open-source MIT software.
Keyblind is a local-first secrets vault, priced at $6.58/month on the Pro plan, integrating with Claude Code, Cursor, Copilot, and Windsurf. InnovaAI scores it 4.8/10 for agency adoption, best for Developer, DevOps Engineer, and Founder roles handling weekly client-facing work.
Agency Audit
Keyblind encrypts API keys and credentials into a local vault that resolves secrets at runtime for AI agents without exposing them to LLM conversations. It integrates with Claude Code, Cursor, Copilot, Windsurf, Cline, and Zed via MCP, eliminating manual secret management across your team's AI development workflow. Adopt it if your developers, DevOps engineers, or security-focused team members regularly use AI coding assistants and currently manage credentials manually or risk accidental exposure in chat logs.
5recommended
40/mo
$2,993/mo
Low
Illustrative scenario. Not a guarantee. Net capacity is the value of reclaimed time at $75/hr, less the lowest verified paid base plan (flat plan cost is shared). Hours saved come from the service estimate; implementation, taxes, and unprovided usage charges are excluded.
- Developer handling AI-assisted code development in Claude Code or Cursor
- DevOps Engineer handling CI/CD pipeline secret management and code review
- Founder handling team credential onboarding and access control
- Your agency does not use AI coding assistants (Claude Code, Cursor, Copilot, Windsurf, Cline, Zed) in daily workflows, making the MCP integration irrelevant to your stack.
- Your team manages secrets exclusively through 1Password or Bitwarden and has no need for AI-specific runtime resolution or sandbox features.
- You have fewer than 3 developers or operate as a solo founder, where the overhead of CLI setup and team vault management outweighs the security benefit.
Internal Adoption Path
$6.58/mo
$6.58/mo flat plan
40 hr/mo
5 seats × 8 hr each
$3,000/mo
modeled at $75/hr labor rate
$2,993/mo
value − subscription cost
In this model, 5 seats reclaim 40 hours of team time each month. Valued at $75/hr that is $3,000/mo, and after the $6.58/mo subscription it leaves $2,993/mo of capacity for billable client work.
Illustrative scenario. Not a guarantee. Uses the lowest verified paid base plan. Implementation, taxes, and unprovided usage charges are excluded.
Platform Features
Core capabilities of Keyblind
AES-256-GCM local vault with machine-identity binding
Encrypts API keys and credentials into a local SQLite database with a machine-bound key, eliminating the need to trust a cloud provider. Developers can store secrets offline and resolve them at runtime without network calls, reducing exposure surface for DevOps and security-focused team members.
MCP integration across 6 AI editors
One command configures Keyblind for Claude Code, Cursor, Copilot, Windsurf, Cline, or Zed, allowing developers to use AI agents without manually pasting or managing credentials. Saves developers 10-15 minutes per session switching between password managers and chat windows.
Deterministic sandbox with fake secrets
Generates HMAC-SHA256 fake credentials for AI code review in CI/CD pipelines, ensuring real secrets never appear in diffs or logs. Allows DevOps engineers to run AI-assisted code review safely without redacting sensitive output manually.
Team vault with passphrase protection and SSO/OIDC
Enables shared secret access across multiple team members with centralized admin controls, audit export, and single sign-on via Google or Okta. Reduces onboarding friction for Project Managers coordinating access and eliminates manual password sharing for Founders managing team permissions.
Time-limited encrypted secret sharing via URL fragments
Shares secrets as AES-256-GCM encrypted URLs with view and time limits, eliminating the need to send credentials via Slack or email. Useful for Account Executives or Project Managers granting temporary access to contractors or new team members without exposing secrets in chat logs.
Dead man's switch for vault auto-release
Automatically releases vault access to designated contacts if the primary holder does not check in, ensuring business continuity if a key team member becomes unavailable. Provides Founders and Operations managers peace of mind for critical credential access.
What Makes Keyblind Different
Unique advantages vs similar tools in this niche
MCP-native protocol supports all AI editors
vs Cloak which only supports VS Code and CursorKeyblind uses MCP to integrate with 6 editors (Claude Code, Cursor, Copilot, Windsurf, Cline, Zed) while Cloak only supports 2.
Deterministic sandbox fakes for clean git diffs
vs Cloak's random placeholdersKeyblind generates deterministic HMAC-SHA256 fakes that produce clean git diffs, unlike Cloak's random placeholders.
Supports 7 backends including cloud providers
vs Cloak's single local backendKeyblind supports local, 1Password, Bitwarden, env vars, AWS, GCP, and Azure backends, while Cloak only supports local.
Open-source MIT license
vs Cloak's proprietary licenseKeyblind is MIT licensed and open source, allowing customization and self-hosting, unlike Cloak's proprietary model.
Value Equation
Outcome-likelihood-time-effort assessment for Keyblind
Limited agency channel
Keyblind scored below the agency-resellability threshold (agency_fit_score < 50). The Value Equation projects agency-side outcomes, which don't apply to tools without a clear resell pathway.
Contact KeyblindPricing
Keyblind platform cost to your agency
Starts at $6.58/mo (Pro), scales to $29/mo (Team)
Free
- 5 secrets
- Local vault (AES-256-GCM)
- Sandbox / Unsandbox
- MCP server (16 tools)
Pro
- Unlimited secrets
- Local vault (AES-256-GCM)
- Sandbox / Unsandbox
- MCP server (16 tools)
Team
- Everything in Pro
- Centralized admin
- Shared vault policies
- SSO / OIDC
No verified white-label program for Keyblind: client-facing delivery runs under the platform's native branding.
Reality Check
Keyblind requires developers to adopt a CLI-first workflow and integrate it into their editor setup, which adds a one-time onboarding step per team member. The tool's value scales with team size and frequency of AI-assisted development; solo developers or teams that rarely use AI agents will see minimal ROI.
Moderate effort: standard configuration with some customization needed
How This Accelerates White-Label Services
Who It's For
- ✓ai-development-agencies
- ✓devops-consultancies
- ✓software-development-agencies
- ✓security-focused-agencies
Acceleration Steps
- 1Create your account and complete setup wizard
- 2Configure encrypt api keys and credentials into a local aes-256-gcm vault
- 3Connect Claude Code
- 4Launch your first client project
Academy for Keyblind
Work through it in order: the course for this service first, then the modules behind it.
Course for this service
Keyblind Agency Implementation, Secure AI Agent Credential Management
Learn how to deliver Keyblind as a productized service for agencies building AI-powered applications. This course covers vault setup across 7 backends, MCP integration for AI editors, team credential management with SSO/OIDC, and audit-ready secret rotation workflows that clients can resell or embed in their own AI tooling.
Open the courseNo Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Non-Human Identity PerimeterConcept
The Non-Human Identity Perimeter framework reframes IAM for agencies: every AI agent, API key, and service account is an identity that must be governed with the same rigor as a human employee. As agencies deploy agents for content, reporting, and client communication, each one becomes a potential entry point. A single misconfigured credential can expose client data or trigger compliance failures. The framework urges agencies to inventory all non-human identities, assign ownership, and enforce least-privilege access. For example, when Meta's ad AI altered approved creative post-launch, it highlighted how platform agents operate outside traditional human access controls. Tools like Zluri and Securden now offer dedicated non-human identity governance, while 1Password extends vaults to AI agents. Agencies that ignore this perimeter risk client trust and regulatory penalties.
- Identity Blast RadiusConcept
Identity Blast Radius is a framework for sizing the potential damage of a single compromised credential or misconfigured access path. For agencies, the blast radius is not just the client's data but the agency's own reputation and compliance posture. A single breach from weak credential management can collapse client trust, as the category description warns. The framework forces agencies to map every identity, human or non-human, to the resources it can reach, then measure the worst-case outcome if that identity is compromised. Consider an agency using Okta for SSO and 1Password for secrets: if a shared vault credential is exposed, the blast radius includes every client project that vault touches. The goal is to shrink the radius by enforcing least privilege, segmenting access, and rotating credentials, turning a potential catastrophe into a contained incident. Recent agentic AI incidents, where autonomous agents posted thousands of messages or altered approved creative, expand the blast radius to non-human identities, making this framework essential for modern agency security.
- Access Surface RatioConcept
The Access Surface Ratio framework measures the total number of access pathways an agency manages (human logins, API keys, AI agent credentials, machine identities) against the number of actual resources those pathways protect. A high ratio means many identities point to few critical assets, amplifying breach risk. Agencies often accumulate unused SaaS accounts, stale service accounts, and over-provisioned AI agent permissions, inflating the surface without adding value. For example, a recent incident where an AI agent swarm posted 18,000+ messages externally shows how ungoverned non-human identities can act at scale. Tools like Zluri or Securden help discover and govern these identities, but the framework urges agencies to calculate their own ratio: list every identity, map it to resources, and eliminate orphaned access. Lowering the ratio reduces client compliance exposure and simplifies audits.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- IAM Rule: Govern Non-Human Identities Before Scaling AI AgentsEvaluation Rule
Inventory and govern every non-human identity, including AI agents and service accounts, before granting them broader access to client systems.
- IAM Rule: Map Every Identity Before You Grant Any AccessEvaluation Rule
Before adding any new identity or access tool, inventory every human and non-human identity that touches your systems and map their current access rights.
- Unified Identity Stack vs Best-of-Breed IAM for Agency Client DeliveryDecision Framework
IF your agency manages multiple client environments with mixed human and AI agent access, THEN a unified identity platform like Okta or JumpCloud reduces integration risk and centralizes policy enforcement. IF clients demand specialized compliance for secrets or non-human identities, THEN best-of-breed tools such as 1Password or Zluri better address niche requirements, even at the cost of more integration overhead.
- The Identity Sprawl Trap: Why IAM & Access Control Stalls in AgenciesFailure Pattern
- The Agent Credential Blind Spot: Why IAM & Access Control Stalls in AgenciesFailure Pattern
Delivery system
Blueprints and procedures for running it as a service.
- Identity Consolidation & Access Governance Sprint (10-15 days)Implementation Blueprint
A structured engagement that consolidates fragmented identity tools, enforces least-privilege access, and prepares agencies for secure AI agent integration across client environments.
- Non-Human Identity Access Review (QA)Operating Procedure
- Client Access Offboarding Runbook (Handoff)Operating Procedure
- Least Privilege Access Audit (QA)Operating Procedure
13 modules selected for Keyblind
Frequently Asked Questions
Answers about pricing, setup, implementation
Keyblind encrypts API keys and credentials into a local AES-256-GCM vault and resolves them at runtime for AI agents without exposing values to LLM conversations. It integrates with Claude Code, Cursor, Copilot, Windsurf, Cline, and Zed via MCP, and supports 7 backends including 1Password, Bitwarden, AWS, GCP, and Azure. The tool also provides sandbox features for safe AI code review, secret sharing via encrypted URLs, and team vault management with SSO/OIDC.
Keyblind Pro costs $6.58 USD per month per seat (billed annually). Keyblind Team costs $29 USD per month per user and includes centralized admin, shared vault policies, SSO/OIDC, audit export, and priority support. A free tier with 5 secrets and local vault access is available indefinitely.
Developers and DevOps engineers benefit most from runtime secret resolution and sandbox features during AI-assisted coding and code review. Security-focused team members gain audit trails and team vault controls. Project Managers and Founders benefit from time-limited secret sharing and dead man's switch for access continuity. Account Executives can use encrypted URL sharing for contractor onboarding without exposing credentials in chat.
For a developer using AI coding assistants 5+ hours per week, Keyblind saves approximately 1-2 hours per week by eliminating manual credential switching between password managers and chat windows, plus time spent redacting or rotating secrets after accidental exposure. For DevOps teams running AI code review in CI/CD, savings scale with pipeline frequency; a team running 10+ reviews per week may save 3-4 hours per week on manual secret redaction and rotation tracking.
Initial setup takes 5-10 minutes per developer (npm install, keyblind init, keyblind setup-mcp for their editor). Team vault setup for centralized access requires 15-30 minutes of admin configuration. Most teams see full adoption within 1-2 weeks once developers integrate Keyblind into their daily AI coding workflow.
Yes. Keyblind supports 1Password, Bitwarden, AWS Secrets Manager, GCP Secret Manager, Azure Key Vault, and local environment variables as backends. You can configure Keyblind to resolve secrets from your existing password manager at runtime without migrating credentials.