
Vojtěch Stejskal led the development of the keboola/mcp-server repository, delivering robust API server capabilities for data integration and orchestration. Over 14 months, he engineered features such as OAuth-secured endpoints, unified tooling for buckets and tables, and scalable, stateless transports, all while maintaining rigorous test automation and CI/CD workflows. His technical approach emphasized Python and SQL, leveraging Pydantic for schema validation and FastAPI for backend architecture. Stejskal prioritized code quality through dependency management, refactoring, and comprehensive documentation. His work improved reliability, security, and developer experience, enabling consistent deployments and streamlined data workflows across cloud platforms and client-server environments.
April 2026 monthly summary for keboola/mcp-server: Key features delivered, major bugs addressed, business value, and technical accomplishments. Focused on configurability, API consistency, data integrity, stability, and developer experience.
April 2026 monthly summary for keboola/mcp-server: Key features delivered, major bugs addressed, business value, and technical accomplishments. Focused on configurability, API consistency, data integrity, stability, and developer experience.
March 2026 MCP Server: Delivered key test infrastructure improvements, stability fixes, and observability enhancements that together raise reliability across backends (Snowflake/BigQuery) and speed up feedback cycles. Implemented fixture-driven test enhancements, API/test-suite modernization, and robust lock/cleanup workflows, enabling safer CI and cleaner project state management. Performance and quality gains include cross-backend test coverage, reduced CI contention, clearer instrumentation, and improved data integrity checks.
March 2026 MCP Server: Delivered key test infrastructure improvements, stability fixes, and observability enhancements that together raise reliability across backends (Snowflake/BigQuery) and speed up feedback cycles. Implemented fixture-driven test enhancements, API/test-suite modernization, and robust lock/cleanup workflows, enabling safer CI and cleaner project state management. Performance and quality gains include cross-backend test coverage, reduced CI contention, clearer instrumentation, and improved data integrity checks.
February 2026: Keboola/mcp-server focused on reliability, scalability, and maintainability. Delivered stateless Streamable-HTTP transport with session-less initialization, progressed dependency upgrades, enhanced serialization and description resolution, strengthened tests, and introduced a distributed project locking system with robust integration tests. These changes reduce operational risk, improve CI isolation, and accelerate feature delivery for customers.
February 2026: Keboola/mcp-server focused on reliability, scalability, and maintainability. Delivered stateless Streamable-HTTP transport with session-less initialization, progressed dependency upgrades, enhanced serialization and description resolution, strengthened tests, and introduced a distributed project locking system with robust integration tests. These changes reduce operational risk, improve CI isolation, and accelerate feature delivery for customers.
January 2026 (2026-01) focused on delivering core API/diff-preview capabilities, strengthening security and reliability, and modernizing the DataApp model. Key work included API client improvements, enhanced config-diff previews across multiple tools, OAuth and redirect validation hardening, and resilience upgrades, all coordinated with documentation and release-ready packaging. The month also entailed fixing critical preview bugs and preparing version bumps for production readiness.
January 2026 (2026-01) focused on delivering core API/diff-preview capabilities, strengthening security and reliability, and modernizing the DataApp model. Key work included API client improvements, enhanced config-diff previews across multiple tools, OAuth and redirect validation hardening, and resilience upgrades, all coordinated with documentation and release-ready packaging. The month also entailed fixing critical preview bugs and preparing version bumps for production readiness.
December 2025 — keboola/mcp-server: Delivered a focused upgrade and tooling consolidation that improves stability, schema discovery, and developer productivity. Key initiatives included dependency upgrades and MCP server version bumps, tooling unification for buckets and tables, API schema enhancements, search enhancements, and reliability fixes. Key features delivered: - Dependency upgrades: mcp==1.22.0, fastmcp==2.13.1 and related libs. - MCP Server version bumps: bumped to 1.34.2 and 1.36.0. - Unified bucket tools: get_bucket and list_buckets across the codebase; unified table tools: get_table and list_tables. - API improvements: added GetBucketsOutput.buckets_not_found and GetTablesOutput.tables_not_found fields. - Enhanced search: extended to include table column names and descriptions. - Configuration/CI: updated uv.lock (AI-2230/AI-2259) and CI/test adjustments, including token endpoint auth set to none. Major bugs fixed: - Race condition in WorkspaceManager when retrieving table info; workspace initialized before launching concurrent tasks to prevent duplicate DB backends. - Ensure get_buckets tool invocation and fix obsolete test names; fix integration tests related to 2164. - Dev branch tables retrieval by IDs; general integration test stabilization. Overall impact and accomplishments: - Increased stability and reliability for concurrent table lookups; clearer error reporting; improved data discovery through enhanced search; and streamlined tooling that reduces maintenance burden and speeds feature delivery. Technologies/skills demonstrated: - Dependency management and version upgrades; API schema evolution; concurrency handling; tooling unification; test automation and CI discipline; and package management (uv.lock).
December 2025 — keboola/mcp-server: Delivered a focused upgrade and tooling consolidation that improves stability, schema discovery, and developer productivity. Key initiatives included dependency upgrades and MCP server version bumps, tooling unification for buckets and tables, API schema enhancements, search enhancements, and reliability fixes. Key features delivered: - Dependency upgrades: mcp==1.22.0, fastmcp==2.13.1 and related libs. - MCP Server version bumps: bumped to 1.34.2 and 1.36.0. - Unified bucket tools: get_bucket and list_buckets across the codebase; unified table tools: get_table and list_tables. - API improvements: added GetBucketsOutput.buckets_not_found and GetTablesOutput.tables_not_found fields. - Enhanced search: extended to include table column names and descriptions. - Configuration/CI: updated uv.lock (AI-2230/AI-2259) and CI/test adjustments, including token endpoint auth set to none. Major bugs fixed: - Race condition in WorkspaceManager when retrieving table info; workspace initialized before launching concurrent tasks to prevent duplicate DB backends. - Ensure get_buckets tool invocation and fix obsolete test names; fix integration tests related to 2164. - Dev branch tables retrieval by IDs; general integration test stabilization. Overall impact and accomplishments: - Increased stability and reliability for concurrent table lookups; clearer error reporting; improved data discovery through enhanced search; and streamlined tooling that reduces maintenance burden and speeds feature delivery. Technologies/skills demonstrated: - Dependency management and version upgrades; API schema evolution; concurrency handling; tooling unification; test automation and CI discipline; and package management (uv.lock).
In November 2025, the MCP Server work focused on elevating search quality, data tooling reliability, security, and staying current with dependencies and platform schemas. Deliveries included substantial search enhancements, data handling improvements with stronger traceability, OAuth security hardening, and targeted MCP server/dependency upgrades, complemented by metadata improvements for source_project context. These efforts reduce operational risk, accelerate data workflows, and improve overall developer experience and platform integrity.
In November 2025, the MCP Server work focused on elevating search quality, data tooling reliability, security, and staying current with dependencies and platform schemas. Deliveries included substantial search enhancements, data handling improvements with stronger traceability, OAuth security hardening, and targeted MCP server/dependency upgrades, complemented by metadata improvements for source_project context. These efforts reduce operational risk, accelerate data workflows, and improve overall developer experience and platform integrity.
October 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 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.
September 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 — 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 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 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 ).
July 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 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 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 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.
May 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 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 (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 (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.
March 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 — 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.

Overview of all repositories you've contributed to across your timeline