"Top 100 MCP Servers Ranked by Weekly Downloads" matching MCP servers:

Enables assistants to securely work on a Chest via personal access token: reading tool logs, builds, and databases, editing rows and variables, and installing or linking tools, with every write requiring a dry run and human confirmation.

Agent-readiness scorecard for any MCP server: protocol checks, 0-100 score and actionable findings.

Enables code-review gating by converting a git diff into a typed verdict with safety probabilities, severity, and recommended actions for auto-merge or human review.

Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk.

Enables Claude to run structured software development pipelines by directing it through sequential phases, validating evidence before advancing, and persisting state in SQLite for resumption across sessions.

Local-only GitHub Actions and CI maintenance scanner for AI-built apps. Exposes scan, explanation, and fix-planning tools to MCP clients; modifies nothing and makes no outbound requests by default.

Enables AI assistants to manage website deployments over SFTP/FTPS by listing sites, testing connections, comparing files, previewing changes with approval tokens, creating SHA-256 verified backups, and executing authorized uploads.

Triage failing DeviceCloud runs by pulling failure evidence (screenshots, logs, analytics) into your editor so an AI assistant can diagnose and fix issues without opening the dashboard.

Enables building structured release evidence by comparing two Git refs and correlating commits, merged pull requests, linked issues, labels, changed files, and contributors.

Enables automated packaging of Maven backend and npm frontend projects, with SVN version retrieval and both step-by-step and one-click build workflows.

MCP server for Bitbucket Cloud that enables reviewing, managing, and merging pull requests, assigning reviewers by name, reading files at a ref, and inspecting pipeline status from any MCP client.

repo-release-tools mcp-server automates the software release process by managing version bumps, changelog generation, and releases. It streamlines repository maintenance by handling repetitive release tasks directly through your AI assistant.

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

A Model Context Protocol server that lets development agents work with Odoo.sh from their development environment, listing branches, watching builds, and streaming logs. It sits on top of the odouche Python library's public interface.

Enforces disciplined programming practices by requiring AI assistants to audit their work and produce verified outputs at each phase of development, following structured workflows for refactoring, feature development, and testing.

Guards PR merge decisions by validating CI, approvals, conflicts, and branch freshness.

Enables MCP-compatible AI agents to deploy applications to Google Cloud Run by providing tools for deploying code, listing services, and managing Google Cloud projects.

Forces every AI Agent code change (Claude Code, Cursor, Trae) to leave a structured problem/reason/approach audit record before commit. 11 MCP tools with full annotations, pre-commit hook blocks unaudited changes. Local stdio, no API key, MIT. M8ven Trust 100/A.

Enables building, verifying, previewing, deploying, diagnosing, updating, and rolling back full-stack Micro apps through typed local MCP tools backed by micro-cli.

Enables AI assistants to review GitLab merge requests by fetching changes, analyzing diffs, adding comments, and managing approvals through the GitLab API. Supports complete merge request analysis, file-specific reviews, and version comparisons.

Enables monitoring and control of the SST development process by streaming dev logs, managing Lambda invocations, and executing lifecycle commands like start, stop, and restart. It provides real-time access to event streams and deployment status directly through the Model Context Protocol.

Enables AI assistants to interact with Coolify for complete infrastructure management including applications, databases, servers, deployments, and team operations. Provides 100% API coverage with 64 tools for managing the entire Coolify ecosystem through natural language.

Enables AI assistants to manage development workflows by running build commands, executing tests, analyzing package.json files, installing dependencies, and performing code linting. Supports multiple package managers (npm, yarn, pnpm) and provides detailed error reporting for development operations.

Exposes open automation platform capabilities to AI agents with tools for managing job templates, inventories, collections, EDA activations, audit events, and policy checks, governed by gateway auth, RBAC, and policy enforcement.

MCP server for Coolify API that enables full deployment workflows from zero to production, including project, server, and application management.

Automates task delivery by providing tools for running delivery workflows, creating merge requests, updating Jira issues, and generating release notes.

Enhanced GitHub MCP server with over 100 tools for repository management, issues, pull requests, organization administration, and more. Runs via npx with zero installation.

An MCP server that enables AI assistants to manage GitHub Actions workflows by providing tools for listing, viewing, triggering, canceling, and rerunning workflows through the GitHub API.

Enables AI assistants to manage cloud infrastructure using Pulumi by running commands like preview, deploy, and stack output retrieval through the Model Context Protocol.

Enables AI agents to run tests, read failures, push new tests, and schedule them, either by connecting directly to a hosted endpoint or via a local stdio bridge.