December 2025 highlights for promptfoo/promptfoo: Delivered two key features that strengthen both reliability and security of AI agent tooling. (1) LLM Tool Call Evaluation with F1 Score: Introduced a new assertion for evaluating LLM tool calls using the F1 metric, enabling more precise assessment of tool usage and output alignment with expectations. Commit: 13271958b5a48b7d26586daf5f06d98bcdf4d063. (2) OWASP Top 10 for Agentic Applications: Added a formal security risk framework for AI agent workflows and updated related documentation and plugin mappings to reflect best practices. Commit: 5fd44cacb368fafb3d1893ab93f30187c3faac82. No major bugs fixed this month; effort focused on feature delivery, code quality, and documentation. This work improves business value by increasing tool-call reliability, strengthening security posture for agentic apps, and enhancing maintainability through clear documentation and mapping updates.

November 2025: Delivered a practical AI agents showcase by adding the Strands Agents SDK Weather and Temperature Conversion Example to promptfoo/promptfoo. This feature demonstrates how agents can fetch weather information and perform temperature conversions, providing a reusable pattern for customer integrations and speeding up developer onboarding. The implementation is captured in commit 28c3d584f2f820de40a17e641aaf95809cf51e82. No major bugs reported; the focus was on quality and documentation around the new example. Impact: accelerates SDK adoption, seeds a repeatable weather-enabled agent pattern, and enhances the repository with a tangible, business-value-generating reference implementation. Technologies: Strands Agents SDK, AI agent orchestration, weather data integration, temperature conversion logic, sample-driven development.

September 2025 monthly summary for modelcontextprotocol/servers: Delivered a key feature by adding the Storybook MCP server to the community servers list in the README, enabling interaction with Storybook component libraries for improved component management and testing. No major bugs fixed this month; maintenance focused on documentation quality and onboarding improvements. Overall, this work enhances component discovery, accelerates testing workflows, and strengthens the repository's support for Storybook-driven development.

Month: 2025-08 — Summary: Implemented MCP Server External API Integrations in modelcontextprotocol/servers to enable automated access to external financial and regulatory data. Key deliverables include a new MCP server for UK Companies House and an MCP-enabled Qonto server to access Qonto accounts through LLM workflows. These capabilities streamline regulatory checks and financial data retrieval, reducing manual effort and accelerating decision cycles. No major bugs fixed this month; focus was on delivering robust integrations and establishing a scalable external API connection layer. Technologies demonstrated: MCP protocol, external API integration, LLM-driven account interactions, and modular microservice design.

Delivered foundational data source integration capabilities for docker/mcp-registry, enabling ingestion from SEC EDGAR and Nasdaq Data Link through new MCP servers. Implemented comprehensive server configuration scaffolding including server identity, image, type, metadata (categories, tags), purpose, source project, and robust secret management for user agents and API keys. Each integration is mapped to its commit block, with SEC EDGAR server added in commit d6e2d11879e2acc6e81466a904371f68355bf2c6 and Nasdaq Data Link server added in commit 7d9e179c2ed9b8e7585e033d653d782761b7c749. Strengthened secret handling and security posture for external data sources, ensuring secure storage and retrieval of API keys and user agents.

June 2025 monthly summary: Delivered user-facing improvements and developer-oriented enhancements across three repositories, focusing on plan discovery UX, flexible automation workflows, and onboarding clarity. Key outcomes include sorting plans by creation date to surface the most relevant, latest plans; introducing a configurable branch Prefix for Claude Code Action with updated base_branch guidance; and aligning repository structure documentation to reflect a directory rename, improving contributor onboarding and automation clarity. These changes translate to faster, more accurate plan retrieval, more adaptable CI/CD workflows, and a smoother onboarding experience for new contributors.

May 2025 monthly summary focusing on feature delivery, code maintenance, and business value. Key efforts included documentation for the MCP server enabling Federal Reserve Data interaction and a UI codebase cleanup to improve maintainability. No major bugs fixed this month; main gains come from improved documentation, code hygiene, and readiness for future data integrations, strengthening the MCP ecosystem and developer onboarding.

April 2025 monthly summary for modelcontextprotocol/servers: Delivered MCP Server Ecosystem Expansion, expanding MCP-based data access with Nasdaq Data Link MCP Server and Hyprmcp, and updating documentation to broaden dataset access via MCP. Added SEC EDGAR MCP server to the community-developed servers list to improve visibility and onboarding. Overall, these changes increase data accessibility, streamline integration workflows, and strengthen maintainability through updated docs and clear commit records.