Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
MCP server exposing Buildkite API data (pipelines, builds, jobs, tests) to AI tooling and editors.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
BUILDKITE_API_TOKEN비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"buildkite": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BUILDKITE_API_TOKEN",
"ghcr.io/buildkite/buildkite-mcp-server:0.7.0"
],
"env": {
"BUILDKITE_API_TOKEN": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add buildkite --env BUILDKITE_API_TOKEN=your-value -- docker run -i --rm -e BUILDKITE_API_TOKEN ghcr.io/buildkite/buildkite-mcp-server:0.7.0실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"buildkite": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BUILDKITE_API_TOKEN",
"ghcr.io/buildkite/buildkite-mcp-server:0.7.0"
],
"env": {
"BUILDKITE_API_TOKEN": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"buildkite": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BUILDKITE_API_TOKEN",
"ghcr.io/buildkite/buildkite-mcp-server:0.7.0"
],
"env": {
"BUILDKITE_API_TOKEN": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 buildkite 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: BUILDKITE_API_TOKEN
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.7.0)은 13개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Docker도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, SSTracker free youth training
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Free youth sports drills, practice plans and age-group answers for parents and coaches.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
[Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) server exposing Buildkite data (pipelines, builds, jobs, tests) to AI tooling and editors.
Full documentation is available at buildkite.com/docs/apis/mcp-server.
The retries toolset supports investigating failures and retrying jobs without broader build-write access. It includes list_builds, get_build, wait_for_build, list_jobs, get_job, get_job_concurrency, search_logs, tail_logs, read_logs, retry_job, and retry_failed_jobs. It requires read_builds, read_build_logs, and retry_builds scopes, not write_builds.
buildkite-mcp-server stdio --enabled-toolsets retries
retry_failed_jobs retries only infrastructure failures; use its dry_run option to inspect the proposed retries without executing them. retry_job retries a specific job. Both are mutating tools and are excluded by --read-only. The toolset does not expose create, rebuild, cancel, or unblock operations. Existing retry tools remain available in builds; selecting builds or all still requires write_builds for the other mutations.
The Buildkite API must have the RetryBuildsScope feature enabled for the token owner to accept retry_builds; existing write_builds tokens remain accepted. Hosted MCP OAuth can select this toolset using /mcp/x/retries once the hosted server adopts a release containing it. Selecting toolsets through request headers does not change an existing token's OAuth scopes.
For library consumers, WithDisabledToolsets and the HTTP factory's disabled toolsets exclude all members of those toolsets, even through overlapping groups. For example, disabling logs also removes log tools from retries; disabling retries removes its inspection and retry tools from other groups.
get_job_concurrency accepts org_slug and a job UUID in job_id, requires read_builds, and is available in builds and retries, including read-only and minimum-access modes. It returns the concurrency group (UUID, key, custom or step scope, nullable cluster UUID), the target's own limit, and stored state. The group and limit can be null; a null cluster UUID means unclustered.
For a limited target, read a bounded set of active jobs ahead, ordered by scheduled_at, position, and internal job ID, then leave out jobs the caller's token cannot access. Return the rest without reading further to replace omitted jobs.
The existing UI reads a bounded set and returns the list only if the viewer can access every job; otherwise it returns 204 with no list. The REST response instead returns the accessible subset.
Items retain job UUIDs, names, states, web links, pipeline names, build numbers, and nullable current_state_since. Only the first returned item may have a timestamp, preserving existing UI behavior. Non-limited targets retain configuration but return empty items.
The jobs_ahead response contains only items, order, scope, and notice. Its scope is subset_of_active_jobs_ahead_within_callers_scope_and_internal_limit. The server notice is preserved: "Submission order is not execution order. This is not a complete list of jobs holding up this job because of concurrency limits; an empty list does not establish that there are no blockers." The response provides no group totals, pagination, full-group membership, or scheduling explanation.
Existing general job REST endpoints already expose job state, timestamps, and recorded concurrency wait time; those fields are not a concurrency-context API and do not identify the concurrency group or its active predecessors.
This tool depends on the phase 1 job concurrency REST endpoint being available. It does not require reading logs or changing jobs.
create_pipeline and update_pipeline accept GitHub provider_settings and branch_configuration. Omit provider keys to use API defaults on create or leave them unchanged on update. Explicit false is preserved. Set filter_condition or pull_request_branch_filter_configuration to null to clear them; an empty string is sent as an empty string. Set branch_configuration: null on update to clear an existing branch filter. On create, an omitted, null or empty branch filter uses the API's null default. Full get_pipeline and list_pipelines responses preserve the supported GitHub settings. go-buildkite response strings do not distinguish null from empty, so do not reconstruct partial updates from readback.
Follow the manual GitHub Actions setup. Keep branch-wide skip_queued_branch_builds and cancel_running_branch_builds false to avoid skipping or cancelling sibling workflow builds. Use create_webhook: false: provider settings do not provision a dedicated GitHub Actions trigger or its webhook, and the existing webhook tools create traditional repository webhooks. Server-side feature availability and token permissions still apply; accepting settings does not prove workflow execution.
On create, supply nonblank configuration or an approved pipeline_template_uuid, not both. On update, omit pipeline_template_uuid to retain the assignment, supply a UUID to assign a template without configuration, or send null to remove it. Removal can include replacement configuration; the API enforces configuration requirements and organization template policy. Full pipeline responses retain assigned UUIDs; go-buildkite omits the field when the response assignment is null or absent.
Use get_pipeline_github_webhook_processing, enable_pipeline_github_webhook_processing, and disable_pipeline_github_webhook_processing to inspect or change traditional GitHub webhook processing. These use GET/PUT/DELETE github-webhooks, not the POST webhook creation endpoint. They do not delete repository webhooks or change dedicated GitHub Actions triggers. Responses preserve enabled and nullable disabled_at and disabled_by metadata; disabled_by is a user name. All three require Full Access, a GitHub or GitHub Enterprise pipeline, and organization enrollment in expanded webhook triggers. GET requires read_pipelines; enable/disable require write_pipelines and are excluded in read-only mode. A 404 can mean the controls are unavailable, not that the pipeline is missing. API errors are returned without treating failure as a disabled state.
These contracts are covered with local synthetic HTTP fixtures. Hosted availability, permissions, persistence, and workflow execution require separate verification; local success is not proof of deployed support. Dedicated GitHub Actions trigger management is not included.
The read-only compare_builds tool in the investigations toolset answers questions such as “What changed since this build last worked on main?” Supply org_slug, pipeline_slug, and the target build_number. It selects the most recently created earlier build that is currently passed on the same pipeline and exact branch. It does not require that the baseline had already passed when the target started. Supply baseline_build_number to compare against a specific build in that pipeline instead, including a failed build or one on another branch.
The response identifies the baseline and selection rule, counts outcomes across all jobs, and returns up to 100 job comparisons, prioritizing newly failing, recovered, and still-failing steps. Matching uses step keys, job type, matrix values, and parallel index/total. When both jobs lack keys, it falls back to the exact nonblank name plus type, group key, matrix values, and parallel index/total, only when that combination is unique in each build. Matched pairs expose match_method: "step_key" or "name_fallback"; fallback matches carry a warning that they are heuristic. Unnamed unkeyed jobs and duplicate identities remain unmatched. Explicit keys never fall back to names, even when a key was added, removed, or changed between builds. Added/removed means a job identity is present in only one build, so renaming unkeyed jobs or changing matrix values or parallelism can also produce added/removed entries. Retried attempts are excluded; final-attempt states and retry counts remain visible.
Execution times and deltas cover final attempts only. Scheduling time is scheduled_at to started_at, not dependency or manual waiting. These are not build wall-clock comparisons or total retry costs. Missing or inconsistent timestamps omit the corresponding timing. Unfinished builds are explicitly identified as changing snapshots.
Any change in soft_failed is reported as state_changed: transitions between soft and hard failures, even when both jobs have state failed, and between passed and soft-failed jobs, which are never reported as newly_failing or recovered because a soft failure does not block the build. A passed baseline build can contain soft-failed jobs.
By default, up to three newly blocking failures include their last 20 log entries: newly_failing jobs first, then state_changed jobs that are now hard failures, such as a job that soft-failed in the baseline. Logs are bounded to 8 KiB of log content each. Set include_logs: false to omit logs. Log errors do not discard the comparison, except HTTP 401 authentication errors, which propagate through the server's reauthentication path. The tool requires read_builds and read_build_logs scopes. Use get_build_failure_summary or tail_logs to investigate further; a shared failing step does not establish a shared root cause or make a retry safe.
Baseline discovery searches at most 500 candidates. If none is found, the response says no comparison was performed and asks for an explicit baseline. Job inventories are limited to 1,000 jobs per build; larger inventories return an error instead of misleading partial added/removed results. Output omissions are reported separately from the complete outcome counts.
The read-only list_test_workflows and get_test_workflow tools in the tests toolset expose a suite's configured monitors, filters, alarm/recovery actions, and links. Both require read_suites and suite access. Supply org_slug and test_suite_slug (a slug or UUID) to list workflows:
{"org_slug": "acme", "test_suite_slug": "backend"}
To inspect one, call get_test_workflow with the same organization and suite and an item's id as workflow_id.
Use the configured labels with list_tests to find marked tests; labels alone do not rank flakiness. Workflows describe configuration, not proof an action ran or event history. Both tools always replace webhook endpoints with [REDACTED], regardless of the caller's API permissions.
The read-only tests toolset includes four span aggregate tools requiring read_suites:
list_span_aggregate_scopes: supply org_slug, test_suite_slug, and an optional period to list instrumentation scopes by total duration. OTel trace ingestion must be enabled. Aggregates have hourly precision and one-month retention; the requested period must fit the organization's API history allowance.list_span_aggregate_scopes_for_build: supply org_slug and build_uuid to list instrumentation scopes across the build's visible suites. Requires OTel trace ingestion and access to the build's pipeline.list_span_aggregate_names: supply org_slug, `te앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요