"Using the web version of Perplexity AI" matching MCP servers:

An MCP server for managing Maven dependency versions using direct metadata parsing from Maven Central. It provides tools to fetch latest stable versions, list version history, and compare versions with upgrade recommendations.

Enables local-first document versioning with content-addressable storage, word-level AST diffs, and AI-compliance auditing for LLM agents.

Enables people to open a shared group chat as a card inside their own AI chat, where they and their AIs talk together and post, claim, and confirm tasks on a self-organizing board. Its tools also let any AI read the repository's code and submit a proposed change that becomes a pull request.

Enables AI agents to manage version control for product assets with tools for creating change sets, comparing versions, approving merges, and exporting receipts.

Local MCP server bridging ChatGPT Web to local tools for file, shell, git, test, and process management with secure policy controls.

Enables AI agents and MCP clients to compute real-time, in-memory unified diffs between versions of live artifacts along with structured change telemetry. It runs as a deterministic, zero-dependency Python MCP server that plugs into Claude Desktop, Cursor, or Windsurf for diff and change-tracking workflows.

Enables developers and AI agents to compute deterministic in-memory unified diffs between successive versions of live artifacts and receive structured change telemetry in return. It runs with zero external dependencies and plugs into MCP-compliant clients such as Claude Desktop, Cursor, and Windsurf.

Exposes an authenticated local runtime over OpenAI Tunnel so ChatGPT can inspect authorized Windows workspaces, read bounded Git status and diffs, submit and cancel Codex CLI tasks, and use workspace Skills. It also brokers connections to optional loopback stdio or HTTP MCP services, such as Stata and Zotero, with explicit tool allowlists and loopback-only access.

A deterministic MCP server that reimplements ai-git-fish workflows (aicommit, aibranch, aipr) with Leantime integration, enabling Claude Code and Codex to perform git operations and manage tickets without an internal LLM.

Provides intelligent file system operations with advanced features including code analysis and modification across multiple languages, version control (Git/GitHub), file compression, encryption, semantic search, batch operations, and secure shell command execution.

MCP server integrating Google Search Console, Google Analytics 4, and GitHub, enabling AI clients to query search analytics, traffic data, and repository information.

Changelog AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables deterministic GitHub issue and pull request delivery workflows, including issue creation, development, verification, PR publication, review, and merge, with strict configuration and admission controls.

An MCP server that tracks AI prompts in Claude Code and automatically annotates git commits with the history of what was asked. It provides tools to query session summaries, retrieve uncommitted work, and manage AI provenance directly within Claude.

Enables managing technical specifications with version control, search, and comparison features, deployed as a secure Auth0-authenticated Cloudflare Worker.

An MCP server that automates pull request reviews using multiple LLM providers (OpenAI, Claude, Gemini, Groq, Perplexity) and supports GitHub and Bitbucket with real-time webhook integration and interactive AI assistant commands.

Enables AI assistants to discover and interact with GitHub repositories through standardized MCP tools, allowing exploration and retrieval of project information without direct API calls.

Provides MCP tools for Friday AI, enabling code indexing, Graph RAG, coding plans, and PR/MR operations via AI coding assistants like Cursor, Claude Code, and Codex.

Commit Message AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

MCP server for AI-native L1 support: triages tickets, answers from a knowledge base, escalates to L2 via Telegram/GitHub, and manages feedback, with a LangGraph workflow and safety guardrails.