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Side-by-side MCP evidence comparison
Evidence fieldContainer UseWatchlist candidatebuildkiteMCP100 Selected
Task fit
Best for
  • Developers who want coding agents isolated from the primary working tree with observable, discardable environments.
  • CI/CD investigation and controlled Buildkite operations through hosted or self-managed MCP transports.
Not ideal for
  • Users who need a broadly proven, low-risk, fully mature Selected-grade integration today.
  • Teams outside the publisher ecosystem or without least-privilege credentials
Avoid when
  • Avoid high-impact or sensitive production use unless the documented authentication, permissions, rollback, and data handling match your environment.
  • The connected identity is broader than the task requires
  • Tool calls cannot be reviewed before consequential mutations
Provenance
Provenance details

First-party MCP

github:dagger · Publisher source ↗

First-party MCP

ecosystem:buildkite · Publisher source ↗

Maintenance
Maintenance details

Stale

Repo: Not documented

Package: Not documented

Repo: Aug 13, 2026

Package: Not documented

Popularity evidence
GitHub starsNot documented

52

GitHub stars · checked 2026-08-14T18:46:26.000Z

Client coverage
Client coverage detailsNot documented
Claude CodeStreamable HTTP
Claude DesktopStreamable HTTP
CodexStreamable HTTP
VS CodeStreamable HTTP
CursorStreamable HTTP
OpenCodeStreamable HTTP
Client coverage noteLocal stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
AuthenticationLocal MCP transport does not imply hosted authentication; access to container/Dagger infrastructure is deployment-defined.Hosted access uses short-lived OAuth, while headless and local deployments use scoped Buildkite API tokens.
CostOpen-source; local/remote container infrastructure and model providers may incur costs.The MCP integration has no separately verified MCP100 price conclusion. Publisher subscriptions, API usage, compute, storage, and AI-client charges may apply.
PermissionsAgents can run code and shell operations inside provisioned environments and create git branches; host/container boundary strength depends on the runtime configuration.OAuth and API-token scopes govern organization, pipeline, build, job, artifact, and Test Engine access; a read-only hosted endpoint is available.
Data handlingSource code, commands and logs are stored in the local/container development environment and exposed to the AI client.Authorized service data and tool results pass through the MCP server to the connected AI client. Review the publisher and client data policies before using sensitive cloud & devops information.
Limitations
Tradeoffs
  • The project explicitly states it is in early development and actively evolving.
  • Write-capable endpoints can rerun, cancel, or otherwise change CI state; use the read-only endpoint for investigation.
Risk contextThe project explicitly states it is in early development and actively evolving.Write-capable endpoints can rerun, cancel, or otherwise change CI state; use the read-only endpoint for investigation. Use a test environment where practical, least-privilege credentials, narrowly enabled tools, and explicit confirmation for mutations. MCP100 did not execute third-party server code during this documentation review.
Evidence date
Editorial review2026-09-13T00:00:00Z2026-07-30
Candidate evidence2026-09-13T00:00:00Z2026-08-14T18:46:26.000Z

Popularity, maintenance, fit, permissions, and client support are independent evidence fields.

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