"PageSpeed Insights" matching MCP servers:

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.

Semantic git queries via MCP. Beyond git log — answer who/what/why about any line, file, or branch with blame, co-change, PR linkage.

Analyzes GitHub repositories using Gemini AI and generates comprehensive documentation including overviews, architecture guides, and file insights. Works with any MCP-compatible client.

A local MCP server that captures coding context, tracks developer sessions, and powers daily insights.

Enables AI assistants to access and analyze GitHub profile data, providing insights on repositories, commit history, coding patterns, and generating portfolio summaries for developers and recruiters.

Enables multi-model code review by fanning out issues to multiple LLMs simultaneously, diffing their unique insights, optionally running debate rounds, and dispatching subagents to implement fixes with git commits.

A lightweight MCP server that enables fetching public GitHub user profiles, repository stats, recent events, and pull request insights through simple tool calls.

Provides GitHub data analysis for repositories, developers, and organizations, enabling insights into open source ecosystems through API calls and natural language queries.

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.

Analyzes git repository metrics to understand team health, development patterns, code quality, and collaboration through natural language queries. Provides insights on commit statistics, bus factor, velocity trends, technical debt, and burnout detection.

A minimal MCP server for GitHub that enables browsing repos, reading code, searching, and getting insights through natural language via Claude, Cursor, or any MCP client.

MCP server that inspects older repos, identifies stale guidance, and installs a managed foundation for better Copilot work including instructions, objectives, specialist agents, and insights.

Provides comprehensive Git repository insights including author statistics, branch health, and code churn analysis. It enables users to perform data-driven assessments of their codebase and track development patterns through the Model Context Protocol.

The Nx MCP server provides LLMs with comprehensive insights into your monorepo: project dependencies, file relationships, executable tasks, ownership metadata, technology stacks, custom generators, and Nx documentation. This deep context enables LLMs to produce code perfectly aligned with your archi

Indexes commit history to create a queryable expert, providing insights into code evolution, developer intent, and hidden patterns beyond static code analysis.

Combines GitHub repository analysis, npm/PyPI package info, and deps.dev security advisories into a single MCP server, requiring no API keys.

Enables AI assistants like Claude to navigate git repository history, providing insights into code evolution and helping understand legacy systems.

Enables Claude to analyze any public GitHub repository through typed, focused tools that surface metadata, README content, file structure, detected tech stack, and Mermaid architecture diagrams. It lets users explore repo purpose, structure, and dependencies via natural language without manual browsing.

Provides read-only tools to search public GitHub repositories, retrieve repository details, READMEs, contributors, and commit activity, and compare up to 10 repositories side by side.