"How to deploy Solana applications" matching MCP servers:

An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Converts Jenkins declarative pipelines into GitHub Actions workflow YAML files, facilitating migration from Jenkins to GitHub Actions CI/CD.

A read-only MCP server for the Bitbucket Cloud REST API v2.0 that enables AI assistants to browse workspaces, repositories, and review pull requests.

Provides a read-only MCP bridge that lets Claude Web inspect workspace files, git state, and recorded test results while Codex remains the sole executor of changes.

Enables MCP-compatible AI clients to connect to a Windows machine for file operations, PowerShell execution, Git inspection, task management, memory, and skills.

A custom MCP server that lets AI assistants interact with GitHub accounts, offering tools for repository creation, file viewing, code search, and issue management.

An MCP server that automates the backup of Cloudflare projects to a GitHub repository, providing a systematic way to preserve Cloudflare configurations and assets.

Enables phone-issued approve/commit/push/pull commands to control an AI coding agent's git actions by bridging GitHub webhooks and MCP tool calls.

Enables LLMs to search Flux HelmReleases and Argo Applications from kubesearch.dev, and temporarily clone repos to review actual manifests.

Enables AI to read and analyze repository incident scan results, including file diffs and summaries, to help investigate suspicious changes. It is read-only and does not execute code or send data externally.

Enables LLM applications to interact with Google's Jules AI coding assistant to manage repositories, coding sessions, and pull requests. It allows users to programmatically create tasks, approve plans, and communicate with the assistant during active coding sessions.

A server that validates GitHub repositories against configurable rules for React applications, enabling structure, configuration, dependency, and naming checks.

Provides comprehensive Git operations as tools for AI assistants and applications. This server enables AI systems to interact with Git repositories, allowing to initialize, fetch, commit, log, status, etc..

Enables deploying applications to Hostman, creating VPCs, databases, and floating IPs, and managing VCS providers through natural language prompts.

A Python implementation of an MCP server that enables secure, local Bitbucket integration for AI applications, providing tools for repository management, branch creation, file operations, issue tracking, and pull request creation.

Enables reasoning agents to turn PRDs into production-ready applications by discovering and reusing existing features, UI components, database models, and templates, then planning, scaffolding, validating, and preparing Git changes for review.

A Model Context Protocol server providing 43 tools for Broadcom Endevor SCM interaction, enabling inventory browsing, element lifecycle management, and package workflows. It is designed for AI-driven mainframe operations and surgical, source-informed penetration testing of CICS applications.

Helps AI read GitHub repository structure and important files. Want to quickly understand what a repo is about? Prompt it with "read https://github.com/adhikasp/mcp-git-ingest and determine how the code technically works".

Enables AI applications to upload images and videos to GitHub issues, pull requests, and comments through the Model Context Protocol.