"PageSpeed Insights" matching MCP servers:

Generates sprint retrospectives grounded in actual data from Jira, GitHub, and Slack, providing evidence-backed insights and action items.

Enables AI assistants to manage Flow Relay projects, generate handoffs and insights, and interact with integrations like Discord through natural language.

Provides an interface to access and manage JIRA data through the Model Context Protocol, offering features like relationship tracking, data cleaning, and contextual insights for AI applications.

Enables automatic saving of insights from Claude conversations as GitHub Issues, with features to create, list, and search insights by category and keyword.

Enables AI assistants to interact with GitHub project boards as calendar events, analyze team workloads, and provide scheduling insights. Supports team status tracking, workload distribution analysis, and smart task assignment recommendations.

Enables AI assistants to query GitHub repository insights such as health, commit activity, stale pull requests, contributor stats, releases, and issue backlogs through MCP tools.

An MCP server that allows management of Jira Insights (JSM) asset schemas, enabling CRUD operations for object schemas, object types, and objects through the Model Context Protocol.

MCP server that connects AI assistants like Claude to your Nestr workspace, enabling task, project, role management, and organizational insights through natural language.

Enables read-only Jira Data Center insights by default, with opt-in audited write tools, sprint and release health summaries, and structured issue search via MCP.

Provides comprehensive tools for interacting with the Shortcut API, enabling developers to manage stories, comments, projects, and analyze Loom videos for debugging insights.

Enables AI assistants to interact with Implem.Pleasanter project management systems, supporting issue management, advanced search, analytics, bulk operations, and team productivity insights through natural language.

Enables store managers to query and triage customer review insights conversationally, including store health, open tasks, and critical alerts, by connecting Claude Desktop to Airtable and Slack.

Connect AI assistants to Kanera project management. Search and manage work across boards and workspaces, including cards, assignments, due dates, checklists, comments, attachments, personal notes, priorities, automations, activity history, reporting, and portfolio insights. Kanera MCP also supports creating new workspaces and boards from templates.

Enables the analysis of GitHub Pull Requests to extract metadata, commits, and code changes for structured AI insights. It also supports the optional creation of Notion pages to store and organize the resulting analysis.

Enables management of TestMu AI test projects, test cases, test runs, and integration with Jira, HyperExecute, and AI insights through natural language.

Product management over a shared product spine — link customer feedback and insights to features, tasks, sprints and releases, then read closed-loop analytics (customer 360, funnels, retention, NRR) on the same records. Local stdio server via npx @aioproductoscom/mcp; also a 38-tool hosted remote (OAuth 2.1).

Enables AI assistants to query freispace scheduling software data including staff management, project analytics, resource availability, and holiday planning. Provides comprehensive insights for media teams while respecting user permissions and data safety.

Enables AI assistants to analyze Primavera P6 XER files for insights into critical paths, schedule health, and project performance. It provides 23 specialized tools for managing schedule data, resources, and earned value through local or remote interfaces.

Enables tracking and analyzing development time through the Wakapi API. Provides tools to retrieve coding statistics, project details, leaderboards, and recent activity logs for productivity insights.

Enables any MCP-capable agent to maintain a shared .apm Markdown source of truth for project goals, tasks, decisions, handoffs, and health insights. It lets multiple agents and CLI/dashboard tools coordinate using the same file-based read/write logic without a database.