ValetGet more from your AI coding agents
Get more from your AI coding agentsEquip them with tools to drive end to end outcomes.
Eliminate setup friction and enable feedback loops for agents to drive outcomes instead of suggesting code.Your AI coding agents can't actually do anything. They can't read Linear tickets, create PRs in GitHub, check Sentry errors, or update Slack. They're magical, but expensive autocomplete. Engineers pay a tax every time they want to configure their agents to do more. Valet provides collaboration infrastructure: zero-touch deployment, pre-built integrations, and centralized credential management that transforms agents from code generators into collaborators.
The ProblemThe Challenge: AI coding agents can't deliver outcomes
AI coding agents need tools to get feedbackBroken Feedback Loops Limit Agent Capability
A complete task requires reading tickets, writing code, running tests, creating PRs, verifying deployments, and updating status. Without access to Linear, GitHub, and Sentry, agents stop after writing code. The agent is only doing half the job, and you have to step in to complete the work.Without access to your tools, AI coding agents can't read Linear tickets, create PRs in GitHub, check Sentry errors, or update Slack. They're magical, but expensive autocomplete. A complete software delivery task requires reading requirements, writing code, running tests, creating branches, monitoring deployments, and updating stakeholders. Agents stop after code generation and you have to finish the job.
Setup of tools Takes HoursSetup Friction Kills Adoption
Modern teams spend $1,000s/year on AI coding seats, but struggle with adoption. Setup of MCP servers and auth tokens takes 3-4 hours per engineer.Engineers spend precious time setting up each tool, per agent, wiring things together manually—configuring MCP servers, generating tokens, managing credentials. Every engineer on your team has to pay this tax, even though the work is tedious and the same. This setup burden kills adoption and prevents companies from realizing their full AI potential.
Security Blind SpotsSecurity and Governance Gaps
For those who do finish setup, there's zero visibility into who configured what. Credentials are scattered. No audit trail.For the minority of engineers who complete setup, organizations face zero visibility into configurations. Personal access tokens are scattered across individual machines. There's no audit trail, no centralized rotation policy, and no way to enforce least-privilege access. Security teams are flying blind.
The SolutionThe Valet Solution: Collaboration infrastructure for AI agents
Valet is enterprise infrastructure for AI coding agents to do real work.Valet provides collaboration infrastructure that transforms agents from code generators into team members. Your agents go from generating code snippets to executing complete workflows. They become collaborators, not just tools.
1. Eliminate setup friction → Fix adoptionZero-Touch Deployment Drives Adoption
Our desktop agent auto-configures Claude Code, Cursor, and Codex to work in your enterprise. Every engineer is ready to build on day 0.Our desktop app automatically configures Claude Code, Cursor, Codex, and other AI coding agents with your team's MCP servers and credentials. Every engineer gets the same agent setup on day one. No manual configuration required.
Setup time: ~~3-4 hours~~ → 0 hoursImpact: Setup friction removed, enabling rapid adoption.
2. Close the feedback loop → Enable complete tasksPre-Built Integrations Close the Loop
Pre-built integrations for GitHub, Linear, Sentry, Slack, PagerDuty, and Datadog. Plug in custom MCP servers for internal APIs. Agents complete the full loop—from reading tickets to verifying deployments.Production-ready connectors for GitHub, Linear, Sentry, Slack, Vercel, and more ship out of the box. Need internal tools? Deploy custom MCP servers through Valet's infrastructure. Your agents go from generating code snippets to executing complete workflows: reading requirements, creating branches, running CI/CD, monitoring deployments, and updating stakeholders.
Agent capability: ~~Code suggestions~~ → Complete task executionImpact: Agents become collaborators that drive end-to-end outcomes.
3. Centralize access → Gain security confidenceCentralized Credential Management Ensures Security
Configure team access, credential expiration, and least-privilege policies.Configure MCP servers with service credentials or enforce user permissions. Update credentials once, propagate everywhere. Secure tool access is the foundation—once agents can reliably act inside your systems, you can begin teaching them how your team works.
No more security surprisesImpact: Security teams gain visibility, control, and audit trails for all agent system access.
Product WalkthroughProduct Overview
Zero-Touch Desktop DeploymentDesktop Agent
Our lightweight desktop agent auto-configures the MCP servers and credentials of your enterprise.A lightweight application that runs on engineer laptops, automatically syncing MCP configurations and credentials from your Valet instance. Engineers experience seamless tool access without manual intervention.
Curated + Custom IntegrationsCurated MCP servers
We provide integrations for GitHub, Linear, Sentry, Slack, PagerDuty, and Datadog out of the box, and support custom MCPs.Production-tested connectors for common engineering platforms: GitHub for version control and CI/CD, Linear for project management, Sentry for error tracking, Slack for notifications, Vercel for deployment management. And easily extended to any MCP server, public or custom.
Centralized Credential ManagementCustom MCP Support
Choose per-user OAuth or shared service accounts. Rotate credentials once, update everywhere automatically.Deploy your internal MCP servers through Valet's infrastructure, making proprietary APIs and internal tools available to AI agents while maintaining security policies.
Admin Console
Centralized management of service and user credentials. Security and engineering leaders gain complete visibility into agent capabilities.
TeamBuilt by Infrastructure Experts
Built by Infrastructure Leaders from Chime, Stripe, and HerokuValet is built by leaders who have scaled engineering infrastructure at high-growth companies.
Michael Ducker
Led product for Chime Core and engineering productivity at Chimeled product for Chime Core Banking and engineering productivity tools at Chime, driving developer velocity for teams building fintech infrastructure at scale. Previously founded multiple startups.
@miradu
Jamu Kakar
Ran your apps at Heroku, Staff Engineer, Stripe, built the money movement platform at Chimewas a Staff Engineer at Stripe working on payment infrastructure, ran application platforms at Heroku, and built the money movement platform at Chime—systems processing billions in transactions.
@jkakarGet Started
Contact us to schedule a demo and meet the team.Transform your AI coding investment from isolated tools into integrated team members. Contact us to schedule a demo and meet the team.
Collaboration infrastructure for AI coding agents