Scoped access for coding agents
Ship securely with coding agents—from development to production. Stashbase scopes agent access to credentials, APIs, tools, files, and dependencies without exposing raw secrets.
No credit card required
Stashbase
Platform
Human
Developer
Machine
AI agent
Infrastructure
REST API
Give agents access—not your credentials
Let coding agents use the APIs, tools, and credentials they need while Stashbase keeps raw secrets outside the agent context and enforces policy at the request boundary.
egress_hosts = ["api.github.com", "mcp.linear.app"]
[secrets]
project = "project"
environment = "api-staging"
[secrets.GITHUB_TOKEN]
env = "GITHUB_TOKEN"
[[secrets.GITHUB_TOKEN.rules]]
effect = "allow"
hosts = ["api.github.com"]
methods = ["GET"]
paths = ["/repos/*/*/issues*"]
[personal_credentials.LINEAR_API_KEY]
env = "LINEAR_API_KEY"
[[personal_credentials.LINEAR_API_KEY.rules]]
effect = "allow"
hosts = ["mcp.linear.app"]
methods = ["GET", "POST"]
paths = ["/mcp"]Control MCP tools
Filter MCP tools and reject unauthorized calls while credentials remain behind the boundary.
Keep sensitive files outside the agent context
Scope filesystem access so agents can work in a project without opening up local secrets and certificates.
[personal_credentials.LINEAR_API_KEY]
env = "LINEAR_API_KEY"
[[personal_credentials.LINEAR_API_KEY.rules]]
effect = "allow"
hosts = ["mcp.linear.app"]
methods = ["GET", "POST"]
paths = ["/mcp"]
[mcp_servers.linear]
url = "https://mcp.linear.app/mcp"
binding = "LINEAR_API_KEY"
allow_tools = ["*"]
deny_tools = ["delete_issue"]Control tools as well as credentials.
Credentials stay at the boundary
Bindings inject authentication without exposing its value.
Allowed tools are visible
Unauthorized tools are filtered from the server’s tool list.
Denied tools cannot run
Calls outside policy are rejected before they reach the server.
Choose the right boundary
Keep the same profile while placing the proxy exactly where your team needs its trust boundary.
Run the proxy on your machine for a simple, private local development setup.
Run remotely for stronger security and isolation between agents and secrets.
Store and manage application secrets
Organize application secrets across projects and environments, then control and audit how people, services, and coding agents use them.
Organize by project and environment
Keep each application’s configuration and secrets in the right place.
Deliver only what each workflow needs
Give developers, services, and agents scoped access without copying values.
Audit every credentialed operation
Review access decisions and usage as work moves toward production.
project:
name: web-api
environment:
name: production
is_production: true
secrets:
- name: AWS_ACCESS_KEY_ID
- name: DATABASE_URL
comment: Used by the application database clientSafe context for agents
Give agents the schema, not the values.
Generate a value-free YAML schema so coding agents know what an environment expects without receiving the credentials behind it.
Bring secure environment work into your tools
Inspect context and draft changes—never expose secret values.
Keep secure workflows in your terminal
Manage environments, run apps, and scan changes without leaving your terminal.
Explore everyday workflows in your terminal
Bring environment context into agent workflows
Ask, analyze, and draft changes—then review before anything goes live.
Protect credentials from development to production
Encrypt and isolate every secret from local development to production.
Catch risky changes before they ship
Detect hardcoded secrets early and replace them with managed values.
Detect exposure
See exposed credentials wherever they surface.
Detect API keys, tokens, and other credentials in code.
Continuously monitor GitHub for secrets that slip through.
Prevent the leak
Stop risky changes before they spread.
Scan staged changes before they are committed or pushed.
Tune rules to the services and standards your team uses.
Respond with confidence
Get the right people moving on the right fix.
Notify your team as soon as an exposed secret is found.
Move to managed values and rotate compromised credentials.
Turn a secret leak into a reviewed fix.
Private AI drafts a commit-ready patch, removes the exposed value, and rotates the matching secret in Stashbase—so your team stays in control of every change.
Add controlled access to your existing stack
Keep your existing secrets manager if you have one. Stashbase adds a controlled boundary between coding agents and the systems they need to use.


Keep every operation accountable
Trace changes, control service access, and see how credentials are used.
Let agents do useful work—with controlled access.
Give people and agents the access they need, when they need it—without spreading secrets across the tools your team depends on.