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Connect and manage engineering, data, and collaboration platforms through natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Setup Server" yet — see the docs or source repo.
Summarize this sprint's project status: pull in-progress issues from Jira, merged PRs from GitHub in the last week, and failed builds from Jenkins, then compile a brief report.
A concise status report combining Jira, GitHub, and Jenkins updates for progress and risk review.
Fetch this week's key metrics from Redash, pull anomaly alerts from Datadog, list high-priority incidents from PagerDuty, and produce a summary for the team weekly meeting.
A weekly summary of metrics, monitoring alerts, and incidents to help the team review operations quickly.
Review recently updated designs in Figma, find related documentation in Confluence, and draft a concise update suitable for Slack or Teams.
A team-ready update draft summarizing design changes and linking the relevant documentation.
Securely connect data sources and developer tools with unified access and auditing.
Query and retrieve data across GitHub, Neo4j, PostgreSQL, and Milvus.
Manage GitHub repositories, pull requests, issues, and workflows with natural language.
Automate QA workflows and daily release reporting across Slack, Jira, and Confluence.
Connect Confluence and Jira for project context, issue management, and documentation.
Connect to Jenkins via MCP to manage jobs, pipelines, and artifacts.