"Bitbucket pull request reviewer information" matching MCP servers:

Enables automatic HTTP requests (GET, POST, PUT, DELETE, etc.) with JSON validation and proxy support. Supports custom headers, request bodies, and environment variable configuration for seamless API integration.

Enables AI assistants to list and retrieve repositories, fetch and create pull requests, and work with Bitbucket Cloud and Server APIs.

A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.

Provides tools to list pending requests, save priority scores, and retrieve ranked backlog, enabling AI-driven triage of automation requests from a Notion database.

Integrates AppsFlyer analytics data with AI assistants, allowing users to fetch various aggregate data reports from AppsFlyer Pull API with secure authentication.

Enables AI agents to request human approvals with customizable forms, webhooks, and team features.

A Human-in-the-Loop MCP server that enables AI assistants to request information or clarification from humans via Slack. It uses real-time, thread-based conversations with socket mode integration to bridge the gap between AI systems and human experts.

Enables Claude sessions to send Signal messages, ask questions, request permissions, and check replies through an existing signal-cli daemon.

An MCP server that allows Copilot Studio and GitHub Copilot to generate different types of jokes (Chuck Norris, Dad jokes, etc.) on user request through Model Context Protocol integration.

A secure middleware that intercepts AI agent tool calls to evaluate risks and manage human-in-the-loop approvals via durable Inngest workflows. It ensures compliance with standards like the EU AI Act by pausing high-risk actions until authorized by a human reviewer.

Triggers predefined functions based on specific usecases including data analysis, text processing, mathematical calculations, file operations, and web request simulations through natural language prompts.

Enables AI agents to dynamically discover and interact with APIs through Swagger/OpenAPI specifications and Postman collections using a strategic four-tool approach. It streamlines API integration by providing universal tools for endpoint discovery, detailed request information, and authenticated execution.

Enables AI assistants to request information and clarification from humans via Slack, supporting multiple roles and transport modes.

An MCP server that implements a multi-stage employee access request and approval workflow, enabling employees to request system access and managers/IT admins to approve or reject requests through an interactive UI.

A server that integrates Claude AI with ServiceNow, enabling incident creation, service request management, email handling, and catalog browsing through natural language.

Enables interaction with Google Chrome tabs through the MCP protocol, allowing clients to retrieve information and control tabs on macOS using AppleScript.

Enables LLMs to make HTTP requests using structured cURL commands with support for multiple authentication methods, custom headers, and comprehensive request/response control.

Allows Claude Code agents to pull tasks from an EasyTopic Kanban board, automate planning, commenting, approval, implementation, and closing of topics.

Enables AI coding agents to request client assets like logos, copy, and credentials through BriefGate, which automatically sends branded intake portals and reminder chases, then lets agents retrieve typed results and continue building.

Enables AI assistants to request human input through interactive GUI dialogs with quiz-style questions, supporting multiple choice and free-form responses for clarification, decisions, and knowledge extraction.