"File Editing Tools and Services" matching MCP servers:

Provides deep git file-level forensics tools to analyze detailed file histories, changes, and patterns within git repositories, focusing on individual file analysis rather than repository-wide operations.

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.

Gives MCP-compatible AI clients safe, hands-on access to local codebases: file reading/search, multi-file patches, command execution, interactive sessions, Git inspection, and coordination of local agent providers such as Antigravity and OpenCode.

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.

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

Enables analysis of multi-file git workspaces to synthesize dependency diffs and refactor sequences.

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Enables file extraction, organization, and GitHub repository management through MCP tools, allowing AI agents to copy/move files, delete repositories, and automate workflows.

Provides file system operations (read, write, list, delete) and Git repository management (status, commit, push, pull, diff) for n8n workflows through the Model Context Protocol.

Enables AI assistants to draft content such as PR descriptions, tickets, or messages, with a review window for live preview, editing, and approval before submission.

Enables read-only access to the canonical-vault GitHub repository through MCP, letting clients list files, retrieve file contents and history, inspect commits, and search code.

Enables searching and inspecting GitHub repositories, including topic and trending searches, repo overviews, file browsing, commit history, branches, and side-by-side repo comparisons.

Enables multiple AI agents to collaborate on the same git repository by coordinating work via a shared claims branch, detecting file conflicts before they happen.

Enables agents to autonomously resolve GitHub issues by editing code, running tests, and opening pull requests, while enforcing guardrails that protect critical files and systems.

Semantic git queries via MCP. Beyond git log — answer who/what/why about any line, file, or branch with blame, co-change, PR linkage.

MCP server for Claude Code that generates a documentation skeleton from Git repository changes, outputting a Markdown file with placeholders for AI analysis.

Enables coding agents to inspect repository state, create and amend commits, rewrite history and manage stacked branches, worktrees, and pushes against any Git remote.

MCP server for code review of Bitbucket Cloud pull requests: list PRs, read diffs, file contents and comments, and post review comments.

Local-first Git hosting for AI coding agents. lgh serve turns any directory into an HTTP Git remote (127.0.0.1:9418) with push events, commit-status reporting, smart .gitignore generation, secret/large-file detection, and optional LAN sharing with auth. The MCP server exposes 10 tools covering repo registration, one-command backup (lgh up), server control, and event access.

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, allowing users to query work items with plans to support creating/updating items, managing pipelines, handling pull requests, and administering sprints and branch policies.

Enables an editor LLM to run only preconfigured lint, test, and read-only git commands, blocking arbitrary bash execution.

Enables Claude to explore and analyze remote Git repositories, providing structured file contents and token estimates.

An MCP server that gives AI agents safe, non-interactive Git history editing — squashing, rewording, and reflog rescue — without ever hanging on a Vim buffer.

Enables Claude to inspect, analyze, and grade local Git repositories with tools for stats, TODO scanning, git history, large file detection, health scores, and tech stack fingerprinting.

Enables an AI agent opened in any git repository to discover every other repository on the machine on its own, through read-only MCP tools covering inventory, tech stack, live git status, context files (CLAUDE.md, AGENTS.md, README.md) and cross-repository text and file search. All work is strictly local and non-modifying, with no writes and no network access.

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 commit-addressed editing of LinkML YAML schemas via MCP, including applying changesets and reading schemas at specific commits.

A Model Context Protocol server that enables AI assistants to interact with Azure DevOps services, providing capabilities for work item management, project management, and team collaboration through natural language.

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

Enables natural language code search across multiple local Git repositories, allowing users to register projects, search for code, and explore file structures through Claude.

Enables coding agents to read and modify GitHub issues, project boards, pull requests, repositories, releases, and Actions through configurable toolsets, with read-only and write-confirmation controls.

Enables code search across indexed repositories using regex patterns, with pagination, repository listing, and file context retrieval via Hound integration.

Enables AI agents to ask read-only questions about a repository's history through GitHub APIs, including blame, path history, merge base, PR association, diffs, and file contents, with aggressive caching and no clone required.

MCP server that detects semantic (non-textual) merge conflicts between Git branches using AST-level analysis. Catches incompatible changes that Git merges cleanly — signature changes, removed exports, parameter changes, interface breaks, and cross-file dependency conflicts.

Enables an AI agent to perform real GitHub operations such as creating repositories, opening and closing issues, commenting, listing commits, and committing file changes through natural language via the Model Context Protocol over stdio.

Assists MDN Japanese translation tasks by automating file copying from English content, synchronizing source commits, and performing guideline-based reviews.

Deterministic code review MCP server that provides tools for file selection, rule matching, comment positioning, and reflection, ensuring stable review quality without LLM calls.

Provides intelligent file system operations with advanced features including code analysis and modification across multiple languages, version control (Git/GitHub), file compression, encryption, semantic search, batch operations, and secure shell command execution.

MCP server for DCI API enabling AI models to extract and analyze DCI jobs, components, and topics, with integrations for Google Drive, Jira, GitHub, and Red Hat support cases.

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.