Michael Suchacz
35cbca080e
## Summary Adds the missing user-facing half of MCP server config ACLs: admins can now share an MCP server with individual users and groups from the UI, backed by a new permission-safe candidate-discovery endpoint. ## Problem The MCP server config ACL backend already existed (share RBAC action, hydrated `GET .../acl`, sparse `PATCH .../acl`), but there was no frontend for it. There was also no way to populate a sharing autocomplete without the generic organization member/group APIs, which require `organization_member:read` and `group:read` and would wrongly couple MCP sharing to the workspace-sharing mode (the same bug fixed for chat models in #28542). ## Changes Backend: - New v2-only `GET /api/v2/organizations/{organization}/mcp-servers/{mcpserverconfig}/acl/available` returning `codersdk.ACLAvailable`; because this API is new, it is not mounted under the experimental compatibility prefix. Gated on `ActionShare` for the specific server config; performs bounded org-scoped member/group lookups via `dbauthz.AsSystemRestricted`; excludes system users; supports `q`, `limit`, `offset`, and `after_id` with template/chat-model autocomplete semantics. - Tests cover authorization (404 without share), search, pagination, system-user exclusion, org scoping, and a share-only custom role under all three workspace-sharing modes (`none`, `service_accounts`, `everyone`). Frontend: - `shareMCPServerConfig` permission plumbing; the MCP servers list, details page, and AI settings sidebar now admit share-only users (share does not require update; share-only users cannot edit the server form). - Share-only access follows the established permission contract: a bare-share role manages sharing through the list and ACL endpoints (the detail route still requires read, update, or delete, matching the existing enterprise permission-matrix tests), and the disabled-config gate now also admits the share permission so a sharer with read access can open a disabled server. Top-level navigation (Admin settings menu and the /ai/settings index redirect) discovers organization-level MCP sharers and surfaces permission lookup failures instead of silently falling back. - "Share server" action on the MCP server edit page opening a sharing dialog: hydrated ACL grants render from the `GET .../acl` response, adds/removals are saved as sparse `PATCH` deltas (`"read"` / `""`). - Principal autocomplete backed exclusively by the new `/acl/available` endpoint; the sharing flow never calls the generic org member/group APIs (Storybook enforces this by rejecting those API spies). A discovery error surfaces under the autocomplete without hiding existing grants. - Storybook interaction coverage for the dialog (hydrated rendering, add/remove, sparse deltas, error/cancel/reopen paths, autocomplete exclusion and failure) and share-only access to the page/form. Dogfood UAT ran remotely against a dev instance and passed, including verifying via the network log that candidate discovery only hits `/acl/available`. The share-only custom role UI flow could not be exercised there (no premium license on the dev instance); it is covered by the backend permission-matrix tests. > 🤖 This PR was authored by Xum (an AI coding agent) acting on Mike's behalf.
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About
Coder is a self-hosted platform for running AI coding agents and cloud development environments on infrastructure you control. It works with any cloud, IDE, OS, Git provider, and IDP.
Coder Workspaces
Coder Workspaces are cloud development environments defined with Terraform, connected through a secure Wireguard tunnel, and automatically shut down when not in use. Agents and developers share the same workspace infrastructure.
- Defined in Terraform: Templates describe the infrastructure for each workspace, from EC2 VMs and Kubernetes Pods to Docker containers.
- Any architecture and OS: Support ARM and x86-64 across Windows, Linux, and macOS from a single deployment.
- Managed by admins: Platform teams create and maintain templates that enforce approved images, resource limits, and security policies.
- Accessed from any IDE: Connect through VS Code, JetBrains, Cursor, a web terminal, remote desktop, or SSH.
- Automatic shutdown: Idle workspaces stop automatically to reduce cloud spend, and restart in seconds when needed.
Coder Agents
Coder Agents is a native AI coding agent built into Coder. The agent loop runs in the Coder control plane on your infrastructure, not in the workspace and not in a vendor's cloud. Developers interact with agents through the web UI or the REST API for programmatic and CI-driven workflows.
- Self-hosted agent loop: The control plane handles planning, model calls, and tool dispatch. Workspaces have zero AI awareness.
- No API keys in workspaces: LLM credentials stay in the control plane.
- Any model: Anthropic, OpenAI, Google, Bedrock, or self-hosted endpoints. Switching is a configuration change.
- Governance and cost controls: Centralized model approval, per-user spend limits, and audit logging.
- Open source and inspectable: The full platform is available to audit and extend.
IDE support
You can use:
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Any Web IDE, such as
- code-server
- JetBrains Projector
- Jupyter
- And others
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Your existing remote development environment:
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A file sync such as Mutagen
Why remote development
Provisioning consistent development environments for a large engineering team is difficult. Each developer has preferences for operating systems, editors, and toolchains, and ensuring a reliable build environment across all of them is a maintenance burden. A missed step during onboarding or an unsupported local configuration can cost hours of debugging.
Remote development solves this by moving the environment off the developer's machine and into managed infrastructure. The developer's laptop becomes a portal into the actual compute where work happens. If a device is lost or replaced, access is simply revoked; no source code or credentials are stored locally.
This approach provides:
- Speed: Server-grade hardware accelerates builds, tests, and large workloads without requiring expensive local machines.
- Consistency: Infrastructure tools such as Terraform, nix, Docker, and Dev Containers produce identical environments for every developer.
- Security: Source code stays on private servers. Users and groups are managed through SSO and RBAC.
- Compatibility: Workspaces share infrastructure configurations with staging and production, reducing configuration drift.
- Accessibility: Browser-based IDEs and remote IDE extensions let developers work from any device, including lightweight laptops, Chromebooks, and tablets.
Read more on the Coder blog, the Slack engineering blog, or from Alex Ellis at OpenFaaS.
Why Coder
The key difference between Coder and other platforms is that the entire system, agent loop, control plane, model routing, and workspace provisioning, runs on infrastructure you control.
For agents, this means platform teams can:
- Run the entire agent loop on their infrastructure, with no SaaS dependency for orchestration.
- Define MCP servers, skills, and system prompts centrally so every agent session starts with the same tools, policies, and context.
- Keep LLM credentials out of workspaces entirely.
- Tie every agent action to an authenticated user identity.
- Support air-gapped and restricted-network deployments with self-hosted models.
For workspaces, this means admins can:
- Support any architecture (ARM, x86-64) and operating system (Windows, Linux, macOS).
- Modify pod/container specs, such as adding disks, managing network policies, or setting/updating environment variables.
- Use VM or dedicated workspaces, developing with Kernel features (no container knowledge required).
- Enable persistent workspaces, which are like local machines, but faster and hosted by a cloud service.
Pricing
Coder is free and open source under the GNU Affero General Public License v3.0. All developer productivity features are included in the open source version. A Premium license is available for enhanced support and custom deployments.
How Coder works
Coder workspaces are represented with Terraform, but you do not need to know Terraform to get started. The Coder Registry provides production-ready templates for AWS EC2, Azure, Google Cloud, Kubernetes, and other providers.
Providers and compute environments
Workspaces can include more than just compute. Terraform can add storage buckets, secrets, sidecars, and other resources.
See the templates documentation for details.
What Coder is not
-
Coder is not an infrastructure as code (IaC) platform.
- Terraform is the first IaC provisioner in Coder, allowing Coder admins to define Terraform resources as Coder workspaces.
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Coder is not a DevOps/CI platform.
- Coder workspaces can be configured to follow best practices for cloud-service-based workloads, but Coder is not responsible for how you define or deploy the software you write.
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Coder is not an online IDE.
- Coder supports common editors, such as VS Code, vim, and JetBrains, all over HTTPS or SSH.
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Coder is not a collaboration platform.
- You can use Git with your favorite Git platform and dedicated IDE extensions for pull requests, code reviews, and pair programming.
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Coder is not a SaaS/fully-managed offering.
- Coder is a self-hosted solution. You must host Coder in a private data center or on a cloud service, such as AWS, Azure, or GCP.