"A tool or assistant to review and suggest changes for GitHub pull requests" matching MCP servers:

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.

Integrates GitHub repository management and local file system access to enable AI agents to perform code reviews and manage pull requests. It provides tools for listing repositories, retrieving PR diffs, and searching or reading files within a specified workspace.

Enables AI agents to edit files in VS Code with an interactive diff review panel, allowing users to accept or reject changes.

Provides a read-only MCP Streamable HTTP server for inspecting a configured local workspace, including directory listing, text-file reading, and literal or regex search.

Enables a voice-enabled AI assistant to call 7 built-in MCP tools including calculator, web search (DuckDuckGo), weather (wttr.in), date/time, and local file read/write/list operations, integrating with Gemini 2.0 Flash for tool-calling conversations.

Enables AI models to fetch GitHub repository information, read file contents, and search local documentation.

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

An MCP server that exposes macOS Spotlight search as tools, wrapping mdfind and mdls to provide full-text and metadata file search across the system.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Enables local OCR transcription of images using tesseract.js, with optional low-token AI-generated descriptions, folder batch processing, and compatibility with MCP clients like ChatGPT, Claude, opencode, and Cursor.

A local AI document assistant MCP server that enables listing, reading, and editing documents via tools, resources, and prompts, allowing LLMs to manage document workflows through natural language.

A local MCP server that stores user-approved corrections, preferences, and reusable criteria in plain Markdown files, with separate global and project memory. It provides tools to list, search, and retrieve relevant criteria to help agents avoid repeating mistakes.

A local MCP server for Cursor that converts Markdown files and Mermaid diagrams to JPEG images with configurable dimensions and quality.

MCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.

Local MCP server enabling Codex and ChatGPT to read/write files, execute commands, manage processes, use Git, and inspect images on the user's machine with full privileges.

Enables AI assistants to perform local development tasks on Windows by reading and editing files, running commands, and controlling browser and desktop tools, all within isolated workspaces. Supports secure remote access via an optional tunnel for ChatGPT clients.

Enables local document Q&A by reading .txt or .pdf files and answering questions in Persian using locally running models.

An intelligent, zero-cost MCP server that securely parses local resumes and compares them against live job postings for ATS scoring, skill gap analysis, and interview prep.