"Using local LLMs for code writing, reviewing, and rule generation" matching MCP servers:

An MCP server that gives AI agents direct access to VMware vSphere infrastructure, enabling VM lifecycle management, snapshots, datastore operations, networking, and more via 55 typed tools built on govc.

Enables AI to search and retrieve regulations from Dongguk University's integrated rule management system.

A local MCP server that indexes codebases using Tree-sitter AST parsing and LanceDB, enabling AI models to search across repositories with sub-second latency.

An MCP server that exposes the llms.txt file and its referenced local or external resources from a project root to provide context for AI models. It automatically parses documentation links and URLs to make them accessible as additional MCP resources.

MCP server for Rule.io marketing automation platform. Enables managing subscribers, tags, campaigns, custom fields, and automations through the MCP interface.

Safe local MCP server for Windows to list, read, search, patch, backup, and verify code files in allowed folders, with Git integration and dry-run diffs.

Enables AI assistants to search and retrieve Sangmyung University regulations, articles, and forms from the university's rule management system.

A Model Context Protocol (MCP) server for the Rule marketing automation platform. It provides full access to Rule's REST API v2 for subscriber management, campaigns, transactional messages, and more.

Enables auditing any website for AI-answer readiness, returning a score and actionable fix list based on llms.txt, schema, sitemap, and related checks.

An MCP service for AI-assisted reasoning and editing on long-form fiction projects. It builds a structured index from scene files for targeted context retrieval.

Profile-driven MCP server for safely inspecting and changing local Git repositories via a Streamable HTTP endpoint with deny-by-default security.

Provides local, deterministic scoring and detailed auditing of text for AI-writing patterns via two read-only tools, with no network calls or language models.

MCP server that delegates Claude Code subagents to alternative backends such as local models, DeepSeek, or AWS Bedrock, while keeping your Claude Code orchestrator session intact.

Content writing toolkit for headline generation, readability scoring, tone analysis, outline building, and plagiarism similarity checking.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

MCP server for SecretiveShell/Awesome-llms-txt. Add documentation directly into your conversation via MCP resources.

Offline, read-only MCP server that predicts which custom Wazuh rules wazuh-analysisd will ignore at load (missing or later-loaded if_sid, if_group, duplicates, static fields) — calibrated 15/15 against Wazuh 4.14.7. Also lists Wazuh 5.0 migration blockers.

A local, offline MCP server that enables AI agents to collaborate with SketchUp for controlled modeling, editing, and review tasks via 41 MCP tools.

Enables fast, token-efficient access to large documentation files in llms.txt format through semantic search. Solves token limit issues by searching first and retrieving only relevant sections instead of dumping entire documentation.