# Local Service

Preview version of the MCP Server for Keyfactor Command, built on the Python SDK, supporting certificate management operations such as querying, issuing, and revoking. Currently experimental software not recommended for production use.

CodePortal MCP is a local code project management server that provides project structure organization, AI model access, and API key management functions, emphasizing security and automation.

The Inkdrop MCP Server is a local HTTP server interface for the Inkdrop note-taking software, supporting data interaction through the Model Context Protocol.

An Obsidian server that implements the MCP protocol via a local REST API, providing a standard interface for AI assistants to access and manage the Obsidian note library.

The QuantConnect MCP Server is a localized model context protocol server designed for quantitative trading, providing complete integration with the QuantConnect platform, including research environment, statistical analysis, portfolio optimization, etc. It supports quantitative strategy development through natural - language interaction with an AI assistant.

A locally run MCP server for managing and retrieving Markdown knowledge base content, supporting various search and organization methods such as by tag, text, and date range.

The Inkdrop MCP Server is a model context protocol server designed for the Inkdrop local HTTP server API, providing functions such as creating, reading, updating, and searching notes.

A local web management tool for starting, stopping, configuring, and viewing MCP server logs. It supports cloning servers from Git and JSON configuration.

The LinkedIn MCP Server is a local service based on the Model Context Protocol that enables interaction with LinkedIn through AI assistants like Claude, supporting functions such as profile scraping, company information analysis, and job search.

This project connects OpenAI GPT function calls with real backend APIs through a local MCP server, featuring a modular structure and easy scalability.

An experimental local code indexing service based on Python that uses ChromaDB for storage and provides semantic search functionality, serving tools such as Cursor through the MCP protocol.

The Zotero MCP Server is a service that enables MCP clients (such as the Anthropic Claude application) to interact with the local Zotero literature library, supporting functions such as searching for literature and managing notes.

A local MCP server that specifically provides DaisyUI component documentation, enabling efficient token usage through tool calls and supporting queries for component lists and access to detailed documentation.

The Claudesidian MCP Server is a service project that interacts with the Obsidian knowledge base. It provides functions such as note management, web scraping, and memory retrieval, and supports local deployment and extended development.

An MCP server project for providing query services for the SQLite database and LanceDB vector database of Chicago Public Schools and their communities

A locally - running MCP server project that implements mouse control functions, supporting movement, clicking, dragging, and scrolling operations.

An example of implementing interaction between Claude and a local JSON server through the MCP protocol

Transcribe MCP is an AI-driven automated transcription tool that supports fast and high-quality multi-language audio-to-text conversion, provides local and cloud services, and can be integrated with various AI assistants.

An Obsidian plugin that provides local MCP server capabilities, enabling external applications to interact with the Obsidian library through standardized interfaces, including file operations, semantic search, etc.

A simple to-do MCP server based on TypeScript, supporting functions such as adding, deleting, marking as completed, and getting all to-do items.

A local MCP server for tracking and managing personal or organizational expenses.

The Dremio MCP Server is a locally - run Model Context Protocol service that simplifies the integration of LLMs (such as Claude) with the Dremio data platform. It connects Dremio and the LLM front - end through configuration files, supports functions such as data schema discovery and workload analysis, and provides a quick installation and configuration guide.