keboola/mcp-server
Mar 2025 – Oct 2025
8 Months active
Languages Used
MarkdownPythonBashTOMLYAMLDockerfilePytestTypeScript
Technical Skills
API DevelopmentAPI IntegrationBackend DevelopmentCode FormattingCode RefactoringConfiguration Management
Vita Stejskal
PROFILE
Vita Stejskal
Vojtěch Stejskal developed and maintained the keboola/mcp-server, delivering robust API server features, secure authentication flows, and scalable deployment automation. He engineered OAuth 2.0 integration with JWT-based authorization, enhanced workspace provisioning, and unified metadata handling to support multi-branch workflows and data isolation. Using Python, FastAPI, and Docker, Vojtěch improved test infrastructure, centralized logging, and automated CI/CD pipelines for reliable releases. His work included dependency management, code refactoring, and serializer standardization, resulting in maintainable, production-ready code. By addressing configuration flexibility, observability, and security, he enabled faster iteration cycles and reduced operational risk for complex cloud data integration scenarios.
Overall Statistics
Feature vs Bugs
70%Features
Repository Contributions
330Total
Bugs
39
Commits
330
Features
90
Lines of code
30,035
Activity Months8
Your Network
20 peopleSame Organization
@geneea.com1
Work History
October 2025
44 Commits • 11 Features
Oct 1, 2025October 2025 monthly summary for keboola/mcp-server. Focused on delivering multi-region deployment capabilities, registry integration, improved metadata handling, and observability, alongside test/app initialization enhancements and stability improvements. Key bug fixes and dependency hygiene supported faster, more reliable releases and business value through deployment consistency, improved traceability, and automation.
44 Commits • 11 Features
Oct 1, 2025October 2025 monthly summary for keboola/mcp-server. Focused on delivering multi-region deployment capabilities, registry integration, improved metadata handling, and observability, alongside test/app initialization enhancements and stability improvements. Key bug fixes and dependency hygiene supported faster, more reliable releases and business value through deployment consistency, improved traceability, and automation.
October 2025
September 2025
23 Commits • 5 Features
Sep 1, 2025September 2025 — keboola/mcp-server: Key features delivered - AI-1500: Project information retrieval and testing/CI Docker workflow. Added get_project_info validation, used explicit workspace to avoid dynamic workspace, built a single-platform test image, ensured proper tagging, and added pre-push image testing in CI. - AI-1516: Improve ProjectInfo handling and prompt wording. Reformat/reword prompts, added tests for ProjectInfo.llm_instructions, and fixed English in the project system prompt. - AI-1561/AI-1598: Dependency upgrades and serializer unification. Upgraded libraries across the project and unified serializer usage; bumped keboola-mcp-server to 1.22.3. - AI-1580: Fix redirect URIs; improved logging; addressed flake8 complaints. - AI-1651: UV lock updated to reflect dependency changes. Major bugs fixed - AI-1500: Workflow failure on e2e docker image test. Stabilized CI by ensuring failures are surfaced, improved test tag handling, and pipefail reliability. - AI-1564: API return types cleanup and workspace URL handling fix (removing Annotated from certain returns; correcting base URL handling when deleting workspace ID from default branch metadata). Overall impact and accomplishments - Significantly improved CI reliability and determinism; end-to-end docker image tests now fail-fast, with more predictable pipelines. - Increased maintainability and developer experience through prompt/Docs quality improvements, standardized serialization, and up-to-date dependencies. - Faster iteration cycles and reduced production risk due to cleaner API surfaces and better test coverage. Technologies/skills demonstrated - Docker-based CI and single-platform image testing; explicit workspace management; robust project info validation. - Python tooling with Pydantic types and serializer standardization; API stability practices; linting and logging improvements. - Dependency management, versioning, and test coverage expansion.
September 2025
23 Commits • 5 Features
Sep 1, 2025September 2025 — keboola/mcp-server: Key features delivered - AI-1500: Project information retrieval and testing/CI Docker workflow. Added get_project_info validation, used explicit workspace to avoid dynamic workspace, built a single-platform test image, ensured proper tagging, and added pre-push image testing in CI. - AI-1516: Improve ProjectInfo handling and prompt wording. Reformat/reword prompts, added tests for ProjectInfo.llm_instructions, and fixed English in the project system prompt. - AI-1561/AI-1598: Dependency upgrades and serializer unification. Upgraded libraries across the project and unified serializer usage; bumped keboola-mcp-server to 1.22.3. - AI-1580: Fix redirect URIs; improved logging; addressed flake8 complaints. - AI-1651: UV lock updated to reflect dependency changes. Major bugs fixed - AI-1500: Workflow failure on e2e docker image test. Stabilized CI by ensuring failures are surfaced, improved test tag handling, and pipefail reliability. - AI-1564: API return types cleanup and workspace URL handling fix (removing Annotated from certain returns; correcting base URL handling when deleting workspace ID from default branch metadata). Overall impact and accomplishments - Significantly improved CI reliability and determinism; end-to-end docker image tests now fail-fast, with more predictable pipelines. - Increased maintainability and developer experience through prompt/Docs quality improvements, standardized serialization, and up-to-date dependencies. - Faster iteration cycles and reduced production risk due to cleaner API surfaces and better test coverage. Technologies/skills demonstrated - Docker-based CI and single-platform image testing; explicit workspace management; robust project info validation. - Python tooling with Pydantic types and serializer standardization; API stability practices; linting and logging improvements. - Dependency management, versioning, and test coverage expansion.
August 2025
53 Commits • 23 Features
Aug 1, 2025August 2025 monthly summary for keboola/mcp-server: Key features delivered: - AI-1231: TableColumnInfo data type detection fix and defaults for native_type and nullable to ensure consistent metadata. Commits: 7b6d58f1f9a5a6c6d3332506ede57e0d782da842; df0ddffd6e0b485a6cc1bf03b9430a0c5f63a404. - AI-1327 / AI-1342 / AI-1340: Library and dependency upgrades across MCP/fastMCP and related components; MCP server version bumps; logging and HTTP-transport improvements. Representative commits include: c52f250839d59fbd5d784e8e80126e1990994040; 36954029f4f8e055edb89fe753e07f9ce9c285ff; d4046828e0979134db9b2ba2508dce7fb9562c5e; 14e078cbbca3010782bef788b0f056a43c2a9854. - AI-1213: Uniform handling of optional parameters and integration tests improvements; default values for optional parameters; updated flows where appropriate. Commits: b970d6c0d26b67d18cdef98d0bae15b36272b03b; 7d08d0ca7def680e2855c9335ab6e5fc6b079abf; fc847b3e6f519d5fcffcbc0411ba17209d88f2b7. - AI-1349 / AI-1386: Branch ID propagation across components and branched storage shading to support multi-branch workflows and data isolation. Commits: a6c29da96ec55bb910e754f25c597650cc9807d3; c075d24c2be642aca4e4351056e816c0450af1e6; 4c2ff3f477c129dc30cc45a3af1c1698bfb57c34; ac94e13e30c0e3fcf140f0bf44753e7f4feb6ccb. - Code quality and CI reliability: Enforced Black formatting, removed trailing whitespace, and stabilized CI by skipping flaky tests. Commits: 383e66bc3a6a0d693c2301fbdb9fedbf2ad23597; 952342daffc40a3f626ef6ade1af9f4d91ed59cb; 68fc8bbfb4b60c693af029a6b116c248a3cc89c6. Major bugs fixed: - AI-1231: Fixed detection of table column data types; ensured defaults for native_type and nullable to prevent mismetadata. Commits: 7b6d58f1f9a5a6c6d3332506ede57e0d782da842; df0ddffd6e0b485a6cc1bf03b9430a0c5f63a404. - AI-1213: Uniform handling of optional parameters across tools; prevented missing/misinterpreted parameters. Commits: b970d6c0d26b67d18cdef98d0bae15b36272b03b; fc847b3e6f519d5fcffcbc0411ba17209d88f2b7. - AI-1312: Corrected get_job return value annotation; ensured tooling consistency. Commit: d0bb12f4edcca1807ed733158d03a56064fe928e. - AI-1322 / related logging fixes: Disarmed FastMCP logger and preserved existing loggers; blocked logging of sensitive information; finalized centralized logging config. Commits: ed29be5484bd031a0cba5adc9ba16b4ebb50ba27; ce30bd52fb153aa24bc8ee061df05f399aeb86aa; 955287f873c4b4959618cd7d6ef7320d69bcc873; 2800bd991ad52599646222cb430895395bf7b479. - CI stability: Skipped flaky integration tests to stabilize CI (test_global_search_end_to_end); updated related test scope. Commits: 952342daffc40a3f626ef6ade1af9f4d91ed59cb; 68fc8bbfb4b60c693af029a6b116c248a3cc89c6. Overall impact and accomplishments: - Increased metadata accuracy and reliability of MCP-server schemas, reducing downstream errors in dashboards and integrations. - Improved stability and security through dependency upgrades, structured logging, and removal of deprecated tooling. - Enabled multi-branch workflows with consistent branch_id handling and branched storage shading, improving data isolation and collaboration across teams. - Strengthened code quality, test coverage, and CI reliability, accelerating future delivery and reducing regressive risk. Technologies/skills demonstrated: - Python, typing, and tooling around MCP-fastMCP, uvicorn, and HTTP-compat transports. - Dependency management and semantic versioning across MCP-server components. - Observability: centralized logging, structured logs, and log security. - Test strategy: integration test improvements, flaky-test mitigation, and code quality standards ( Black formatting ).
53 Commits • 23 Features
Aug 1, 2025August 2025 monthly summary for keboola/mcp-server: Key features delivered: - AI-1231: TableColumnInfo data type detection fix and defaults for native_type and nullable to ensure consistent metadata. Commits: 7b6d58f1f9a5a6c6d3332506ede57e0d782da842; df0ddffd6e0b485a6cc1bf03b9430a0c5f63a404. - AI-1327 / AI-1342 / AI-1340: Library and dependency upgrades across MCP/fastMCP and related components; MCP server version bumps; logging and HTTP-transport improvements. Representative commits include: c52f250839d59fbd5d784e8e80126e1990994040; 36954029f4f8e055edb89fe753e07f9ce9c285ff; d4046828e0979134db9b2ba2508dce7fb9562c5e; 14e078cbbca3010782bef788b0f056a43c2a9854. - AI-1213: Uniform handling of optional parameters and integration tests improvements; default values for optional parameters; updated flows where appropriate. Commits: b970d6c0d26b67d18cdef98d0bae15b36272b03b; 7d08d0ca7def680e2855c9335ab6e5fc6b079abf; fc847b3e6f519d5fcffcbc0411ba17209d88f2b7. - AI-1349 / AI-1386: Branch ID propagation across components and branched storage shading to support multi-branch workflows and data isolation. Commits: a6c29da96ec55bb910e754f25c597650cc9807d3; c075d24c2be642aca4e4351056e816c0450af1e6; 4c2ff3f477c129dc30cc45a3af1c1698bfb57c34; ac94e13e30c0e3fcf140f0bf44753e7f4feb6ccb. - Code quality and CI reliability: Enforced Black formatting, removed trailing whitespace, and stabilized CI by skipping flaky tests. Commits: 383e66bc3a6a0d693c2301fbdb9fedbf2ad23597; 952342daffc40a3f626ef6ade1af9f4d91ed59cb; 68fc8bbfb4b60c693af029a6b116c248a3cc89c6. Major bugs fixed: - AI-1231: Fixed detection of table column data types; ensured defaults for native_type and nullable to prevent mismetadata. Commits: 7b6d58f1f9a5a6c6d3332506ede57e0d782da842; df0ddffd6e0b485a6cc1bf03b9430a0c5f63a404. - AI-1213: Uniform handling of optional parameters across tools; prevented missing/misinterpreted parameters. Commits: b970d6c0d26b67d18cdef98d0bae15b36272b03b; fc847b3e6f519d5fcffcbc0411ba17209d88f2b7. - AI-1312: Corrected get_job return value annotation; ensured tooling consistency. Commit: d0bb12f4edcca1807ed733158d03a56064fe928e. - AI-1322 / related logging fixes: Disarmed FastMCP logger and preserved existing loggers; blocked logging of sensitive information; finalized centralized logging config. Commits: ed29be5484bd031a0cba5adc9ba16b4ebb50ba27; ce30bd52fb153aa24bc8ee061df05f399aeb86aa; 955287f873c4b4959618cd7d6ef7320d69bcc873; 2800bd991ad52599646222cb430895395bf7b479. - CI stability: Skipped flaky integration tests to stabilize CI (test_global_search_end_to_end); updated related test scope. Commits: 952342daffc40a3f626ef6ade1af9f4d91ed59cb; 68fc8bbfb4b60c693af029a6b116c248a3cc89c6. Overall impact and accomplishments: - Increased metadata accuracy and reliability of MCP-server schemas, reducing downstream errors in dashboards and integrations. - Improved stability and security through dependency upgrades, structured logging, and removal of deprecated tooling. - Enabled multi-branch workflows with consistent branch_id handling and branched storage shading, improving data isolation and collaboration across teams. - Strengthened code quality, test coverage, and CI reliability, accelerating future delivery and reducing regressive risk. Technologies/skills demonstrated: - Python, typing, and tooling around MCP-fastMCP, uvicorn, and HTTP-compat transports. - Dependency management and semantic versioning across MCP-server components. - Observability: centralized logging, structured logs, and log security. - Test strategy: integration test improvements, flaky-test mitigation, and code quality standards ( Black formatting ).
August 2025
July 2025
31 Commits • 9 Features
Jul 1, 2025July 2025 monthly summary for keboola/mcp-server: Delivered key features, stability fixes, and strong dependency hygiene. Focused on token handling, SAPI reliability, middleware-based state management, and version control to reduce deployment risk and improve business value.
July 2025
31 Commits • 9 Features
Jul 1, 2025July 2025 monthly summary for keboola/mcp-server: Delivered key features, stability fixes, and strong dependency hygiene. Focused on token handling, SAPI reliability, middleware-based state management, and version control to reduce deployment risk and improve business value.
June 2025
83 Commits • 14 Features
Jun 1, 2025June 2025 monthly summary for keboola/mcp-server focusing on delivering secure, scalable MCP server capabilities and improving test infrastructure. The month emphasized OAuth 2.0 integration with JWT-based state/authorization codes, reliable workspace provisioning, and robust token handling across the MCP ecosystem, while also addressing library compatibility, repository hygiene, and configuration flexibility to support longer-term business value.
83 Commits • 14 Features
Jun 1, 2025June 2025 monthly summary for keboola/mcp-server focusing on delivering secure, scalable MCP server capabilities and improving test infrastructure. The month emphasized OAuth 2.0 integration with JWT-based state/authorization codes, reliable workspace provisioning, and robust token handling across the MCP ecosystem, while also addressing library compatibility, repository hygiene, and configuration flexibility to support longer-term business value.
June 2025
May 2025
46 Commits • 13 Features
May 1, 2025May 2025 monthly summary for keboola/mcp-server: Implemented substantial API server improvements, robust tooling and documentation updates, and release readiness enhancements. Delivered new API endpoints and deployment-time options, strengthened configuration handling, and improved test stability and observability. Achieved notable code quality gains through typing improvements, decorators, and targeted refactors, setting up the project for reliable growth.
May 2025
46 Commits • 13 Features
May 1, 2025May 2025 monthly summary for keboola/mcp-server: Implemented substantial API server improvements, robust tooling and documentation updates, and release readiness enhancements. Delivered new API endpoints and deployment-time options, strengthened configuration handling, and improved test stability and observability. Achieved notable code quality gains through typing improvements, decorators, and targeted refactors, setting up the project for reliable growth.
April 2025
32 Commits • 7 Features
Apr 1, 2025April 2025 (2025-04) – Keboola MCP Server delivered core data plane enhancements, stability improvements, and automation to accelerate delivery and testing cycles. Key outcomes include core BigQuery integration with correct default dataset handling and cross-project FQN construction, plus added tests for execute_query and reduced boilerplate while avoiding Google authentication during tests. Fixed critical issues: KAB-864 (table_name extraction) and KAB-923 (logger constant name, dependency updates, and basic tests for registered tools), and an environment stability fix by removing uv.lock (KAB-980). Operational improvements: CI/CD modernization with simplified workflows, clearer job naming, permissions hardening, on-demand CI runs, and deployment-to-PyPI. Packaging and distribution automation: wheel packaging workflow, version resolution, and publish steps; plus installation instruction improvements and a Python >= 3.10 requirement in README, with a project version bump. Observability and QA: enhanced test results publishing and Python version tagging in reports; consolidation of fixtures to reduce boilerplate across tests. Business impact: faster, more reliable deployments; easier onboarding; improved cross-project BigQuery usage; reduced production risk due to improved tests and dependency management; and better developer experience through clearer CI, docs, and packaging.
32 Commits • 7 Features
Apr 1, 2025April 2025 (2025-04) – Keboola MCP Server delivered core data plane enhancements, stability improvements, and automation to accelerate delivery and testing cycles. Key outcomes include core BigQuery integration with correct default dataset handling and cross-project FQN construction, plus added tests for execute_query and reduced boilerplate while avoiding Google authentication during tests. Fixed critical issues: KAB-864 (table_name extraction) and KAB-923 (logger constant name, dependency updates, and basic tests for registered tools), and an environment stability fix by removing uv.lock (KAB-980). Operational improvements: CI/CD modernization with simplified workflows, clearer job naming, permissions hardening, on-demand CI runs, and deployment-to-PyPI. Packaging and distribution automation: wheel packaging workflow, version resolution, and publish steps; plus installation instruction improvements and a Python >= 3.10 requirement in README, with a project version bump. Observability and QA: enhanced test results publishing and Python version tagging in reports; consolidation of fixtures to reduce boilerplate across tests. Business impact: faster, more reliable deployments; easier onboarding; improved cross-project BigQuery usage; reduced production risk due to improved tests and dependency management; and better developer experience through clearer CI, docs, and packaging.
April 2025
March 2025
18 Commits • 8 Features
Mar 1, 2025March 2025 — Keboola MCP Server: delivered a security- and reliability-focused rollout with a set of feature enhancements, robustness fixes, and documentation updates that enable broader use-cases and improved maintainability. Key features include session state factory and improved server initialization; Storage API integration to execute SQL via Storage API; Snowflake workspace-agnostic operation for bucket/table tools; enhanced database path handling and fully-qualified names (FQNs); improved list_bucket_tables readability; Cursor AI integration guidance with API URL option; and Snowflake environment variable documentation. Major fixes include resolution of import path issues and removal of an unused log_level config. These changes reduce credential exposure, simplify configuration, improve reliability, and unlock new business capabilities with Cursor AI and the Storage API. Technologies and patterns demonstrated include Python-based session state management (Context and factory), WorkspaceManager, Storage API integration, robust path/FQN handling, test coverage for path resolution, and comprehensive documentation and formatting discipline.
March 2025
18 Commits • 8 Features
Mar 1, 2025March 2025 — Keboola MCP Server: delivered a security- and reliability-focused rollout with a set of feature enhancements, robustness fixes, and documentation updates that enable broader use-cases and improved maintainability. Key features include session state factory and improved server initialization; Storage API integration to execute SQL via Storage API; Snowflake workspace-agnostic operation for bucket/table tools; enhanced database path handling and fully-qualified names (FQNs); improved list_bucket_tables readability; Cursor AI integration guidance with API URL option; and Snowflake environment variable documentation. Major fixes include resolution of import path issues and removal of an unused log_level config. These changes reduce credential exposure, simplify configuration, improve reliability, and unlock new business capabilities with Cursor AI and the Storage API. Technologies and patterns demonstrated include Python-based session state management (Context and factory), WorkspaceManager, Storage API integration, robust path/FQN handling, test coverage for path resolution, and comprehensive documentation and formatting discipline.
Activity
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Quality Metrics
Correctness90.6%
Maintainability91.6%
Architecture88.0%
Performance86.4%
AI Usage29.8%
Skills & Technologies
Programming Languages
BashConfigurationDockerfileGoINIJSONJinjaMarkdownPytestPython
Technical Skills
API DevelopmentAPI DocumentationAPI IntegrationAPI InteractionAPI SecurityAPI TestingAsynchronous ProgrammingAuthenticationBackend DevelopmentBigQueryBuild Process OptimizationCI/CDCLI Argument ParsingCLI DevelopmentCLI Tools
Repositories Contributed To
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