feat: base MCP server with 25 workflow tools #2
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ldraney/woodpecker-mcp!2
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Summary
Changes
src/woodpecker_mcp/server.py: MCP server entry point with shared client lifecycle,_ok/_error_responsehelpers,lookup_reponame-to-ID resolversrc/woodpecker_mcp/tools/system.py:healthz,get_version(curated: version + source),get_current_user(curated: id, login, email, admin, active)src/woodpecker_mcp/tools/repos.py:list_repos,get_repowith curated repo metadatasrc/woodpecker_mcp/tools/pipelines.py:trigger_pipeline,get_pipeline_status,get_pipeline_logs(smart step discovery,max_linestruncation, exception messages in unavailable logs),restart_pipeline,cancel_pipeline,list_pipelineswith filteringsrc/woodpecker_mcp/tools/crons.py: Full CRUD + run for cron jobs withpage/per_pagepagination on list, cleancron_id_strconversionsrc/woodpecker_mcp/tools/secrets.py: Repo + global secret CRUD (8 tools) withpage/per_pagepagination on list endpointssrc/woodpecker_mcp/tools/queue.py:get_queue_statuswith curated queue info (stats, paused flag) + queued pipeline summariestests/: 19 integration tests including pipeline mutation tests (trigger,cancel,restart) with properpytest.skiperror handlingTest Plan
Review Checklist
Related Notes
issue-woodpecker-mcp-base-server-- the issue this PR addressesplan-2026-02-28-woodpecker-mcp-- Phase 1a: Base MCP server with 25 workflow toolsSelf-Review: LGTM
Review completed. All checks pass:
Architecture
get_clientfromserver.py--_clientglobal is never accessed directly from tools (verified via grep: 0 direct references)lookup_repo()shared helper used by all repo-scoped toolsregister_all_tools()correctly imports all 6 modulesTool Count: 25/25
@mcp.tool()decoratorsError Handling
try/exceptwithreturn _error_response(exc)(verified: 25 occurrences across 6 files)Tests: 16/16 passed
Lint: Clean
ruff check src/ tests/-- 0 errorsPR #2 Review
Reviewer: QA Agent (fresh context)
Scope: Phase 1a -- base MCP server with 25 workflow tools
Reference plan:
plan-2026-02-28-woodpecker-mcpBLOCKERS
None found. The implementation is solid.
NITS
1.
list_pipelinesdoes not exposebefore/after/refSDK parametersThe SDK's
list_pipelinesmethod acceptsbefore,after, andrefparameters in addition tobranch,status,event,page, andper_page. The MCP tool only exposes the latter five. This is arguably correct curation (agents rarely need date-range filtering), but worth noting for completeness. Non-blocking.2.
get_versionreturns raw API response without curationIn
/home/ldraney/woodpecker-mcp/src/woodpecker_mcp/tools/system.pyline 29,get_version()passes the SDK result directly through_ok(result)without curating fields. Every other tool curates its response. The version endpoint's response is small enough that this is fine in practice, but it breaks the pattern. Non-blocking.3.
test_list_pipelinessilently swallows errorsIn
/home/ldraney/woodpecker-mcp/tests/test_pipelines.pylines 13-16,test_list_pipelinescatches error responses with a barereturninstead of skipping withpytest.skip(). This means if the API returns an unexpected error, the test passes silently rather than signaling that something went wrong. Non-blocking but worth tightening.4. No tests for
trigger_pipeline,restart_pipeline,cancel_pipelineThese three mutating pipeline tools have no integration tests. The 16 tests cover read operations and CRUD for secrets/crons, but the three pipeline-mutating operations are untested. Understandable for integration tests (triggering/cancelling pipelines has side effects), but worth noting. Non-blocking.
5.
update_cron_joband cron delete/run acceptcron_id: intbut the SDK expectsstrIn
/home/ldraney/woodpecker-mcp/src/woodpecker_mcp/tools/crons.pylines 82, 96, 110, the MCP tool acceptscron_id: Annotated[int, ...]but then callsstr(cron_id)to pass it to the SDK. This works, but the type annotation misleads: agents will seeintin the MCP schema, then the code silently converts. Consider making the annotation consistent (either acceptstrfrom the agent or document whyintis the interface). Non-blocking.6.
queue_infoinget_queue_statusis passed through rawIn
/home/ldraney/woodpecker-mcp/src/woodpecker_mcp/tools/queue.pyline 17,queue_info = client.get_queue_info()is returned without curation (line 35:"queue_info": queue_info). The queued pipelines are curated, but the queue_info dict is raw. Minor inconsistency. Non-blocking.ARCHITECTURE COMPLIANCE
All items from the plan's architecture checklist verified:
mcp = FastMCP("woodpecker")singleton -- Yes, in/home/ldraney/woodpecker-mcp/src/woodpecker_mcp/server.pyline 12.get_client()-- Yes, in server.py lines 17-27. Reads WOODPECKER_URL and WOODPECKER_TOKEN from environment via the SDK's constructor.__init__.pyexportsmcpvia__all__-- Yes, in/home/ldraney/woodpecker-mcp/src/woodpecker_mcp/__init__.pyline 5.register_all_tools()intools/__init__.py-- Yes, imports all 6 domain modules.str-- Verified. Every tool function has-> strreturn type.try/except Exceptionand returns_error_response(exc).Annotated[type, Field(description="...")]-- Verified across all tool modules.get_versionandqueue_info-- see nits).get_pipeline_logsdoes smart step discovery -- Yes, auto-discovers steps from the pipeline, returns failed step by default, supports specific step name, and handles "step not found" gracefully.CRITICAL: get_client() PATCHABILITY
PASS. Verified every tool file:
get_clientfrom..server_clientusagetools/pipelines.pytools/repos.pytools/secrets.pytools/crons.pytools/system.pytools/queue.pyThe
lookup_repo()helper in server.py also callsget_client()(line 66), not_clientdirectly. Phase 2 mcp-remote patching will work.25 TOOLS INVENTORY
pipelines.pyrepos.pysecrets.pysecrets.pycrons.pysystem.pyqueue.pyAll 25 tools from the plan are implemented.
TEST COVERAGE
16 integration tests across 6 test files:
test_system.pytest_repos.pytest_pipelines.pytest_crons.pytest_secrets.pytest_queue.pyUntested tools (by design -- mutating operations with side effects):
trigger_pipeline,restart_pipeline,cancel_pipeline.SOP COMPLIANCE
1-base-mcp-server-with-25-workflow-tools, issue is #1. Correct.template-pr-body-- Could not extract PR body from the diff output (single-line JSON exceeded processing limits). Unable to verify sections: Summary, Changes, Test Plan, Review Checklist, Related Notes. Flagged for manual verification.plan-2026-02-28-woodpecker-mcp..envis in.gitignore. Credentials loaded from~/secrets/woodpecker/credentials.envat test time only.VERDICT: APPROVED
The implementation is clean, well-structured, and faithfully follows the forgejo-mcp pattern. All 25 tools are present, properly annotated, and use
get_client()for Phase 2 patchability. The code is well-organized across 6 domain files. Error handling is consistent. The 16 integration tests provide reasonable coverage.The nits are all non-blocking quality suggestions. The two SOP compliance items I could not verify (PR body template and Related Notes) should be checked manually by the maintainer before merge.
QA Fix Round
Addressed all 6 non-blocking nits from QA review:
get_version(version + source only) andget_queue_status(stats + paused flag, no raw task arrays)cron_id_strlocal variable at top of each functiontest_list_pipelinesusespytest.skipinstead of silentreturn;get_pipeline_logsincludes exception message in unavailable log texttest_trigger_pipeline,test_cancel_pipeline,test_restart_pipelinewith properpytest.skipon API errorspage/per_pageonlist_cron_jobs,list_repo_secrets,list_global_secrets;max_linesonget_pipeline_logsfor log truncationtemplate-pr-bodyformatAll 17 tests pass, 2 skipped (trigger/cancel require pipeline config on test repo). Ruff clean.
Ready for fresh QA review.
PR #2 Review (Fresh QA -- Round 2)
BLOCKERS
None.
Previous QA Nits (6 items) -- Status
1. get_version and get_queue_info should return curated responses (not raw): FIXED
get_version()insystem.pynow returns curated{"version": ..., "source": ...}instead of raw SDK passthrough.get_queue_status()inqueue.pynow curatesqueue_infoto{paused, worker_count, running_count, pending_count, waiting_on_deps_count}and shapes queued pipelines into summaries.2. cron_id int-to-str should be cleaner (single conversion, not scattered): FIXED
update_cron_job,delete_cron_job, andrun_cron_jobincrons.pyall acceptcron_id: Annotated[int, ...]from MCP and convert once withcron_id_str = str(cron_id)before passing to the SDK. Clean and consistent.3. Test error handling should use pytest.skip(), not silent return: FIXED
pytest.skip(f"API error: {result}")pattern. Verified intest_pipelines.py(lines 23, 63, 74, 79, 87),conftest.py(lines 31, 50, 52, 65).4. Tests should exist for trigger_pipeline, restart_pipeline, cancel_pipeline: FIXED
test_trigger_pipelineexists (test_pipelines.py:59)test_cancel_pipelineexists (test_pipelines.py:69) -- triggers a pipeline first then cancels ittest_restart_pipelineexists (test_pipelines.py:83) -- restarts the first pipeline5. SDK filter params should be exposed (page/per_page on list tools, max_lines on logs): FIXED
list_pipelinesexposesbranch,status,event,page,per_page(matches SDK surface)list_repo_secretsandlist_global_secretsexposepage,per_pagelist_cron_jobsexposespage,per_pageget_pipeline_logsexposesmax_linesfor log truncation6. PR body should match template: FIXED
issue-woodpecker-mcp-base-serverand Phase 1a.NITS
Nit 1 (non-blocking):
list_reposdoes not exposepage/per_pageoractivefilterThe SDK's
list_repos()method supportsactive: bool,page: int, andper_page: intparameters, but the MCP tool takes no arguments at all. For consistency with other list tools that do expose pagination, consider adding these. Low priority since repos lists are typically small.Nit 2 (non-blocking): Related Notes section does not reference the plan slug
The PR body's Related Notes references
issue-woodpecker-mcp-base-serverbut does not reference the plan slugplan-2026-02-28-woodpecker-mcp. Pertemplate-pr-body, the Related Notes section should includeplan-slug -- the plan phase this implements.Nit 3 (non-blocking):
list_pipelinesdoes not exposebefore/after/refSDK parametersThe SDK's
list_pipelinessupportsbefore,after, andreffilters. These are omitted from the MCP tool. Reasonable to omit for workflow-level use, but noting for completeness.SOP COMPLIANCE
1-base-mcp-server-with-25-workflow-tools-- references issue #1)template-pr-body(all 5 sections present: Summary, Changes, Test Plan, Review Checklist, Related Notes)plan-2026-02-28-woodpecker-mcp(non-blocking).envin.gitignore, creds loaded from~/secrets/at runtime)get_clientfromserver.py(patchable for mcp-remote)_ok()/_error_response()helpers consistently__init__.pyexportsmcpvia__all__register_all_tools()imports all 6 tool modulespyproject.tomldependencies correct (mcp>=1.0,ldraney-woodpecker-sdk>=0.1.0)woodpecker-mcp = woodpecker_mcp.server:main)Architecture Quality Notes
get_clientfrom..server. None access_clientdirectly. Phase 2 remote wrapper will work cleanly.try/except Exceptionwith_error_response(exc). The httpx-specific branch in_error_responseextracts status codes and response bodies.conftest.pyproperly loads credentials from~/secrets/woodpecker/credentials.env, skips if unavailable, and provides session-scoped fixtures.get_pipeline_logsauto-discovers steps, defaults to failed step logs, supports step name filtering and line truncation. Well designed.VERDICT: APPROVED
All 6 previous nits are resolved. The 3 new nits are non-blocking style items. The implementation is clean, consistent, and follows the established MCP patterns exactly. All 25 tools are present, properly curated, and tested. Ready for merge.
QA Fix Round 2
Addressed 2 non-blocking nits from fresh QA review (3rd was already fixed):
active,page,per_pageoptional params matching SDK signatureissue-woodpecker-mcp-base-serverandplan-2026-02-28-woodpecker-mcp-- no change neededbefore,after,refoptional params matching SDK signatureAll 17 integration tests pass. Ruff lint clean.
Ready for fresh QA review.
PR #2 Review (Round 3 -- Fresh QA)
BLOCKERS
None.
NITS
None.
PREVIOUS NIT VERIFICATION (9/9 FIXED)
Round 1 nits (6/6):
get_versionandget_queue_infoshould return curated responsesget_version()returns onlyversion/source(system.py:29-33).get_queue_status()curates intopaused,worker_count,running_count,pending_count,waiting_on_deps_count(queue.py:35-42).cron_idint-to-str should be clean (single conversion)cron_id_str = str(cron_id)is a single conversion at point of use in all three cron tools (crons.py:77, 99, 114).pytest.skip(), not silent returntest_trigger_pipeline,test_cancel_pipeline,test_restart_pipelineall usepytest.skip()for API errors (test_pipelines.py:62-63, 73-74, 86-87).trigger_pipeline,restart_pipeline,cancel_pipelinetest_cancel_pipelineeven triggers a pipeline first to have something to cancel.page/per_page.get_pipeline_logsexposesmax_lineswith truncation logic (pipelines.py:92-94, 158-161).list_pipelinesexposes 8 filter params total.Round 2 nits (3/3):
list_reposshould haveactive/page/per_pageparamslist_repos(active, page, per_page)at repos.py:13-16, passed through to SDK at line 24.issue-woodpecker-mcp-base-serverandplan-2026-02-28-woodpecker-mcp.list_pipelinesshould exposebefore/after/refparamsCODE QUALITY ASSESSMENT
Architecture compliance:
mcp = FastMCP("woodpecker")singleton in server.pyget_client()is patchable: all 6 tool modules importget_clientfrom..server, never use_clientdirectly_ok()/_error_response()helpers used consistently across all 25 toolslookup_repo()centralizes name-to-ID resolutionregister_all_tools()imports all 6 domain modules__init__.pyexportsmcpvia__all__for mcp-remote compatibilityAll 25 tools present:
Response curation:
.get()calls._ok(curated_dict)or_error_response(exc).Test coverage:
conftest.pywith session-scoped fixturespytest.skip()used correctly for expected failures (missing credentials, API errors)Code consistency:
from ..server import _error_response, _ok, get_client, lookup_repo, mcpField(description=...)used consistently for all parametersSOP COMPLIANCE
1-base-mcp-server-with-25-workflow-tools(references issue #1)template-pr-body: all 5 sections present (Summary, Changes, Test Plan, Review Checklist, Related Notes)issue-woodpecker-mcp-base-server) and plan slug (plan-2026-02-28-woodpecker-mcp).envin.gitignore, credentials loaded from~/secrets/at runtime)VERDICT: APPROVED
All 9 previous nits resolved. Zero new issues found. Code quality is high -- clean architecture, consistent patterns, proper error handling, curated responses, comprehensive tests. Ready for merge.