"AI Model CLI Tools and Orchestration Configuration" matching MCP servers:

Provides AI agents with a toolset to query model inventories, trace dependencies, and analyze the impact of changes across machine learning models and data pipelines.

A Python framework that exposes developer tools through MCP, REST API, and CLI from a single shared registry, enabling AI assistants, HTTP clients, and terminal users to access the same tools.

Azure DevOps MCP tools for Claude Code and Codex CLI, enabling interaction with boards, work items, repos, and pull requests via natural language.

Enables coding agents to review GitHub pull requests with a panel of AI models through local or remote MCP endpoints.

Gives any MCP-compatible AI chat or agent a safe, model-neutral coding runtime with file read/search, structured multi-file patches, command execution, interactive sessions, and git operations, all confined to a single workspace and gated by permission modes.

Aggregates GitHub, GitLab, and Figma development tools via MCP, enabling file access, code search, and design inspection. Also supports executing standalone tasks with Claude Code or Codex CLI.

Provides AI coding assistants with tools to run git status, recent commits, tests, and linter on a real repository.

Enables interaction with GitHub by wrapping the gh CLI into two generic tools for executing any gh command and suggesting syntax, providing structured JSON output.

A small MCP server for course experiments that provides tools to read recent commits from public GitHub repositories.

Enables AI agents to perform GitHub analytics and management tasks, including repository analysis, PR summarization, issue triage, release notes generation, and contributor statistics.

Enables AI agents to analyze local Git repositories with commit logs, diffs, blame, statistics, and branch analysis using native git commands without requiring a GitHub API.

A read-only MCP server providing SQLite querying, port checking, and git diff summary tools for local development.

A modular multi-server architecture providing development automation, JIRA management, and performance reporting for Claude Code. It features specialized tools for PR health analysis, code reviews, and generating comprehensive team and individual quarterly reports.

Enables AI agents to turn local projects into persistent workspaces, providing file editing, command execution, Git integration, and cross-session history management.

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.

Enables AI agents to safely read, search, and inspect a local git repository, including PR-style diffs and changed-file summaries. It also supports opt-in allowlisted test runs.

Enables Claude to create, manage, and clean up git worktrees automatically, including dependency installation and GitHub PR creation.

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.

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

A local MCP server that bridges Claude Desktop/Cowork to the Azure DevOps CLI, enabling full use of az devops, az repos, az boards, az pipelines, and az artifacts commands.