We've implemented an automated update for our enrichment metadata, ensuring star counts and latest commit timestamps are kept accurate without manual intervention. This helps maintain up-to-date registry information for our various MCP server integrations.

We have updated the repository's enrichment data, including current star counts and timestamps for the latest commits across various integrated services. This automated update keeps our documentation and analytics in sync with real-time project states. Regular background maintenance ensures that the metadata powering our tools remains accurate and up-to-date.

Updated the enrichment.json file to sync the latest GitHub star counts and last commit timestamps for various services. Keeping this data current ensures that internal tooling has accurate metadata when surfacing information about these integrations.

We've implemented an automated refresh of the enrichment data, ensuring that star counts and last-commit timestamps are kept up-to-date across all supported servers. This keeps the registry information accurate and current without manual intervention.

The enrichment data in public/enrichment.json has been updated to reflect the latest GitHub star counts and activity timestamps. This ensures that the registry remains accurate and up-to-date for all indexed projects.

We've automatically updated the enrichment data for various servers, reflecting the latest star counts and recent commit activity. This ensures our service registries remain current with real-world project status.

Updated the enrichment.json file with the latest GitHub repository statistics, including star counts and recent commit timestamps for supported services. This ensures that the platform-provided context remains accurate for users relying on up-to-date integration information.

Updated the enrichment data for server stats including GitHub star counts and timestamps of the latest commits. This ensures that internal tracking and metrics remain accurate and up-to-date with current repository activity.

We have automated the process of updating the enrichment metadata, including star counts and last commit timestamps, for various services in the repository. This change ensures that our tracking data stays accurate and current without manual intervention.

Performed an automated update of the enrichment data, including synchronization of GitHub star counts and last-commit timestamps for various integrated services. This ensures that the registry reflects the latest project activity and popularity metrics.

Performed an automated update for the tool enrichment statistics, including GitHub star counts and last-commit timestamps, to ensure the registry remains accurate and up-to-date. This routine maintenance helps provide users with the latest metadata on supported MCP tools across the platform.

Ran the automated enrichment pipeline to refresh GitHub star counts and record the latest commit timestamps for supported projects in public/enrichment.json. This ensures metadata stays accurate for community tracking.

Updated public/enrichment.json with the latest star counts and last-commit timestamps for all integrated servers. This automated maintenance ensures that visibility remains accurate across the platform without manual intervention.

Increased the maximum allowed length for server descriptions from 200 characters to 400 characters to allow for more detailed documentation. Updated both the Zod schema and the README documentation to reflect this change and fixed the corresponding unit tests, which were failing due to the old validation threshold.

We've added support for Commune MCP, offering specialized email infrastructure designed specifically for AI agents. Unlike standard integrations, it supports programmatic inbox provisioning, native thread tracking for concurrent tasks, and structured data output for received emails, streamlining agent-to-human interactions. You can get started easily using uvx to run the server.

We've added support for the BGPT MCP server, allowing users to perform full-text scientific paper searches directly within their MCP-compatible environments. This integration provides access to structured experimental data from academic studies via both SSE and Streamable HTTP transports. It's a great way to streamline your research workflow with 50 free searches available out of the box.

Added support for the IntoDNS.ai MCP server, enabling AI agents to perform DNS and email security scans directly using tools for SPF, DKIM, DMARC, DNSSEC, and more. This integration facilitates easier security auditing and deliverability checking for domains.

We've added the IntoDNS.ai MCP server to our registry, allowing AI agents to perform automated DNS and email security checks. The server supports a wide range of protocols including SPF, DKIM, DMARC, and DNSSEC, providing reliable deliverability insights directly to your workflows. Keeping your DNS records healthy just got a whole lot easier.

We've performed an automated update to public/enrichment.json to keep our project metrics current, including the latest GitHub star counts and last-commit timestamps. Keeping this metadata refreshed ensures that tools and dashboards relying on this registry provide accurate, up-to-date visibility into our ecosystem.

The enrichment data in public/enrichment.json has been updated to reflect the latest GitHub stats and timestamps. Keeping this metadata current ensures that our tool discovery and integration logic remains accurate.