"How to check differences between files" matching MCP servers:

Provides git-aware safe file operations, allowing AI agents to delete files while protecting git-tracked source code from accidental deletion.

KSM MCP is a Model Context Protocol (MCP) server that acts as a secure intermediary between AI language models (like Claude) and Keeper Secrets Manager (KSM). It allows AI agents to manage your KSM secrets-such as listing, creating, retrieving, and deleting records and folders-while protecting your

Enables local macOS integration between Apple Reminders and Home Assistant via an MCP server, using EventKit to read and write allowlisted data.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.

The self-hosted MCP bridge between Claude Chat and Claude Code.

An MCP server that enables language models to design real KiCad electronic schematics from plain-language descriptions, placing parts, wiring nets, and running KiCad's electrical rules check to produce editable .kicad_sch files.

Provides week and calendar helper tools for converting between dates and ISO weeks, performing week arithmetic, and looking up weekday names.

A local AST and type-aware Go repository context indexer that uses CHA to map symbols, call graphs, dependencies, and architecture patterns. Built for AI coding agents that need to navigate and reason about large Go codebases without reading raw files.

Local-first shared memory and task coordination for AI coding agents. One Go binary, MCP server, markdown files you own. Hooks for Claude Code and Codex CLI (and their desktop apps).

Self-hosted Go MCP server that crawls documentation sites into local Markdown/JSONL corpora and lets agents read pages, run crawls, check freshness, and diff changes with zero network access at read time. Single static binary, no CGO, Apache-2.0.

MCP server for Nordic company registries. Verify companies, check board members, signing authority, and financial data across Norway, Denmark, Finland, and Sweden using official public APIs. 23 tools covering search, details, roles, and batch lookups.

An MCP server that gives AI agents structured read/write access to a story-based project backlog. Agents can list stories, read content, update status, and append notes — all backed by plain markdown files that live inside your project repository. There is no shared server. The backlog files live in your repo under requirements/, committed and versioned alongside your code

Manages an agent's long-term memories as versioned markdown files with searchable SQLite indexes, supporting lifecycle states, conflict-gated recall, revision, and explicit forgetting without automatic deletion.

MCP server for gavel, a code-quality gate for Bazel monorepos. Exposes judge, findings, coverage and architecture tools so a coding agent can check its change against the quality gate (lint, coverage, layer rules) before declaring it done — all off the Bazel build graph, over just what changed.

Read-only MCP tools for authenticated Open Science Framework projects, components, files, and contributors.

Tickstem is a developer infrastructure platform for production SaaS apps. This MCP server lets you manage cron jobs and verify email addresses directly from your AI coding assistant — no dashboard needed. Register jobs, check execution history, verify emails for syntax, MX records, disposable domains, and role-based prefixes, all through natural language.

A Model Context Protocol server that enables AI assistants to read from and write to Microsoft Excel files, supporting formats like xlsx, xlsm, xltx, and xltm.

All-in-one homelab management MCP server. Docker monitoring, volume backup/restore (with compose and env files), Wake-on-LAN, network scanning, and multi-server SSH management.

Connect Legacy Databases to AI Agents via Model Context Protocol. Open-source bridge for LLM data analysis.