Provides Cursor-like code intelligence using tools like ripgrep, ctags, and tree-sitter to help LLMs explore and understand entire codebases. It implements a structured, phase-gated workflow to ensure high-confidence code modifications and eliminate hallucinations.
Enables LLMs to search, download, and extract information from YouTube music videos, converting them to high-quality MP3 files.
Query AI spending data from LLMKit. Track costs, budgets, usage stats, and session summaries across 11 AI providers.
llm plugin of MCP for clients and servers.
A deterministic prompt optimization middleware for AI coding agents that preserves intent, compresses context, and detects drift, available as an MCP server with tools for optimize_prompt, classify_prompt, and more.
Automates interactions with the PAF-IAST University LMS to provide AI assistants with access to academic data like attendance, marks, and schedules. It features smart authentication with CAPTCHA solving and secure session management for seamless integration with tools like Claude and Cursor.
Enables interaction with a persistent PowerShell session through LM Studio. Provides tools to run commands, manage directories, and handle environment variables while maintaining session state between calls.
This server contains 5 tools. It could be used to identify critical facilities within lifeline networks (LN). It has been tested in a case of Shelby County.
A Model Context Protocol server that enables LLMs to interact with the Lob.com API for address verification and sending physical mail. It provides 76 tools across 12 resource groups including postcards, letters, checks, and templates with built-in safety features for production use.
Provides LLMs with safe, read-only access to local codebases for searching, reading files, and finding function definitions. All source code remains local, ensuring privacy while enabling AI assistants to explore project structures and functionality.
A TypeScript-based MCP server that executes commands and returns structured outputs.
A local Model Context Protocol server designed to share contextual information between an AI and a user. It primarily provides a tool to retrieve the current date and time in ISO 8601 format based on the server's local timezone.
Enables file system operations such as listing, reading, and creating files within a scoped local project directory. It provides a secure way to manage local files through standardized MCP tools built with FastMCP.
Provides sandboxed access to local filesystem operations including directory and file management, content search with glob and regex patterns, and binary file support with configurable safety limits.
An ollama interface which provides models with MCPs
Enables AI assistants to access and interact with Cursor/VS Code Local History data for file recovery and enhanced context awareness. Provides tools to browse file history, search across snapshots, and restore previous versions of files.
Bridges local LLMs running in LM Studio with MCP clients like Claude Desktop to perform reasoning and analysis tasks while keeping sensitive data private. It features a suite of tools for local code review, privacy scanning, and content transformation using auto-discovered local models.
A MCP server which loads the man pages of tools in $PATH as resource. The goal is to provide the LLM with context of the commands on the host machine
This is a sample local MCP server.
ローカルMCPサーバー（stdio）を作成するためのチュートリアルです。
