google/mcp-security
Jul 2025 – Dec 2025
5 Months active
Languages Used
PythonTOML
Technical Skills
API IntegrationBackend DevelopmentCode ClarityCode RefactoringConfiguration ManagementData Transformation
Xavi Samos
PROFILE
Xavi Samos
Xavi Samos contributed to the google/mcp-security repository, building and enhancing backend systems for threat intelligence automation and collection analysis. Over five months, Xavi delivered features such as robust API integrations, top-N rule retrieval for collections, and Digital Threat Monitoring tools, focusing on reliability, error handling, and data contract clarity. Using Python and TOML, Xavi refactored code for maintainability, improved logging and documentation, and expanded test coverage to ensure stable workflows. The work emphasized lean, consistent API responses and modular testing infrastructure, reducing manual investigation time and supporting safer integrations with external services through structured error feedback and validation.
Overall Statistics
Feature vs Bugs
92%Features
Repository Contributions
40Total
Bugs
1
Commits
40
Features
11
Lines of code
235,007
Activity Months5
Your Network
4388 peopleSame Organization
@google.com4362
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Work History
December 2025
4 Commits • 2 Features
Dec 1, 2025December 2025 (google/mcp-security) delivered two core improvements focused on reliability and testability. Key feature delivery includes Robust API Error Handling Across API Calls, which consolidates improvements across fetch_object, collections API handling, and VirusTotal behavior summaries to gracefully handle API errors, validate responses, and provide structured error feedback to users. The Testing Infrastructure Refactor for Unit Tests reworked tests to import modules rather than specific classes, enhancing modularity, readability, and future mocking practices.
4 Commits • 2 Features
Dec 1, 2025December 2025 (google/mcp-security) delivered two core improvements focused on reliability and testability. Key feature delivery includes Robust API Error Handling Across API Calls, which consolidates improvements across fetch_object, collections API handling, and VirusTotal behavior summaries to gracefully handle API errors, validate responses, and provide structured error feedback to users. The Testing Infrastructure Refactor for Unit Tests reworked tests to import modules rather than specific classes, enhancing modularity, readability, and future mocking practices.
December 2025
October 2025
8 Commits • 1 Features
Oct 1, 2025October 2025 — google/mcp-security: Delivered a major enhancement to the Collection Rules Retrieval and Management feature. Implemented a top-N rules retrieval tool for each collection and extended the API to support multiple rule types (crowdsourced, curated, YARA, Sigma, etc.). Included options to fetch full rule details, performed function renames and refactors for clarity, added logging, and expanded test coverage with robust error handling. Ensured crowdsourced rules are sorted by usage count and properly separated from curated rules in the final output, improving data quality and governance. The work improves security rule coverage, speeds up policy evaluation, and enhances maintainability.
October 2025
8 Commits • 1 Features
Oct 1, 2025October 2025 — google/mcp-security: Delivered a major enhancement to the Collection Rules Retrieval and Management feature. Implemented a top-N rules retrieval tool for each collection and extended the API to support multiple rule types (crowdsourced, curated, YARA, Sigma, etc.). Included options to fetch full rule details, performed function renames and refactors for clarity, added logging, and expanded test coverage with robust error handling. Ensured crowdsourced rules are sorted by usage count and properly separated from curated rules in the final output, improving data quality and governance. The work improves security rule coverage, speeds up policy evaluation, and enhances maintainability.
September 2025
7 Commits • 2 Features
Sep 1, 2025Sep 2025 milestones focused on reliability, observability, and test coverage for google/mcp-security. Delivered Digital Threat Monitoring (DTM) robustness and logging enhancements, expanded test coverage, and a reliability improvement to handle empty API responses when related entities are queried.
7 Commits • 2 Features
Sep 1, 2025Sep 2025 milestones focused on reliability, observability, and test coverage for google/mcp-security. Delivered Digital Threat Monitoring (DTM) robustness and logging enhancements, expanded test coverage, and a reliability improvement to handle empty API responses when related entities are queried.
September 2025
August 2025
7 Commits • 4 Features
Aug 1, 2025Month: 2025-08 | Focused on delivering business value through API reliability, data contract cleanliness, and developer experience improvements for google/mcp-security. The work emphasized clearer documentation, robust pagination, leaner responses for downstream processing, and targeted code quality improvements. Key features delivered: - Digital Threat Monitoring (DTM) API Pagination and Documentation Enhancements: Added proper pagination by parsing the page token from the Link header and updated docs to clarify timestamp filtering, document types, and pagination usage for DTM queries. - DTM Search API Response Cleanup: Leaned the response by removing unnecessary metadata to ensure a consistent, parsable format for downstream systems. - GTI Tools Documentation and Default Parameter Improvements: Updated tool docs and defaults (get_entities_related_to_a_collection defaults descriptors_only to True; clarified entity modifier for search_iocs). - Code Quality Refactor: search_iocs Output Simplification: Refactored output to a single-line, consistently sanitized list of dictionaries. Major bugs fixed: - Minor Typo Fix in Intelligence Module: Fixed indentation for a return statement in search_iocs; no functional changes. Overall impact and accomplishments: - Improved API reliability and developer experience, with standardized response shapes and clearer usage patterns boosting integration speed and reducing downstream errors. Documentation and sensible defaults reduce onboarding time and support overhead. Payloads are leaner, enabling faster processing and lower network costs. Technologies/skills demonstrated: - API design and pagination (Link header), robust data filtering, and documentation craftsmanship. - Data contract hygiene and lean response shaping for downstream systems. - Code quality, refactoring discipline, and Python tooling (docstrings, tests readiness). - Cross-functional collaboration with GTI tooling to align defaults and usage patterns.
August 2025
7 Commits • 4 Features
Aug 1, 2025Month: 2025-08 | Focused on delivering business value through API reliability, data contract cleanliness, and developer experience improvements for google/mcp-security. The work emphasized clearer documentation, robust pagination, leaner responses for downstream processing, and targeted code quality improvements. Key features delivered: - Digital Threat Monitoring (DTM) API Pagination and Documentation Enhancements: Added proper pagination by parsing the page token from the Link header and updated docs to clarify timestamp filtering, document types, and pagination usage for DTM queries. - DTM Search API Response Cleanup: Leaned the response by removing unnecessary metadata to ensure a consistent, parsable format for downstream systems. - GTI Tools Documentation and Default Parameter Improvements: Updated tool docs and defaults (get_entities_related_to_a_collection defaults descriptors_only to True; clarified entity modifier for search_iocs). - Code Quality Refactor: search_iocs Output Simplification: Refactored output to a single-line, consistently sanitized list of dictionaries. Major bugs fixed: - Minor Typo Fix in Intelligence Module: Fixed indentation for a return statement in search_iocs; no functional changes. Overall impact and accomplishments: - Improved API reliability and developer experience, with standardized response shapes and clearer usage patterns boosting integration speed and reducing downstream errors. Documentation and sensible defaults reduce onboarding time and support overhead. Payloads are leaner, enabling faster processing and lower network costs. Technologies/skills demonstrated: - API design and pagination (Link header), robust data filtering, and documentation craftsmanship. - Data contract hygiene and lean response shaping for downstream systems. - Code quality, refactoring discipline, and Python tooling (docstrings, tests readiness). - Cross-functional collaboration with GTI tooling to align defaults and usage patterns.
July 2025
14 Commits • 2 Features
Jul 1, 2025In July 2025, the google/mcp-security effort delivered two high-impact features that broaden threat intel automation and IOC analysis, stabilized workflows with tests and docs, and tightened dependency management. These changes accelerate threat discovery, improve collection analysis, and enable faster response.
14 Commits • 2 Features
Jul 1, 2025In July 2025, the google/mcp-security effort delivered two high-impact features that broaden threat intel automation and IOC analysis, stabilized workflows with tests and docs, and tightened dependency management. These changes accelerate threat discovery, improve collection analysis, and enable faster response.
July 2025
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Quality Metrics
Correctness91.6%
Maintainability90.4%
Architecture85.8%
Performance81.2%
AI Usage21.6%
Skills & Technologies
Programming Languages
PythonTOML
Technical Skills
API DesignAPI DevelopmentAPI IntegrationAPI UsageAPI developmentAPI integrationBackend DevelopmentBug FixCode ClarityCode RefactoringConfiguration ManagementData HandlingData ProcessingData TransformationDependency Management
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