Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.

An MCP server based on SQLite, providing database interaction and business intelligence analysis functions

The Universal SQL MCP Server supports multiple database engines such as MySQL, PostgreSQL, SQLite, and SQL Server, providing secure database connections, schema queries, and controlled SQL operation functions.

A local task management server based on SQLite, following the MCP protocol, providing project-based task management tools that support operations such as creating projects, adding tasks, updating statuses, and expanding subtasks.

An MCP server for accessing the SQLite database of the Cursor IDE, supporting AI assistants to explore project data, chat histories, and editor information.

A general resource management system that supports the management of multiple resource types (papers, web pages, books, etc.) and integrates with the knowledge graph, providing structured notes and status tracking functions.

A localized AI financial management system developed based on Rust, supporting natural language input, intelligent analysis, tax calculation, and debt tracking. All data is stored in the local SQLite database.

A simple MCP server for to-do management based on SQLite

This project is a toolset for managing and configuring multiple Model Context Protocol (MCP) servers, mainly serving AI assistants such as Claude Desktop. It provides functions such as file system access, SQLite database queries, web automation, and GitHub integration, and includes installation scripts, configuration templates, and security practice guides.

A Python hypergraph library supporting traceability and SQLite persistence, used to represent complex relationships between multiple nodes, suitable for fields such as knowledge graphs, AI agent memories, and biomedical data.

This project implements an AI dungeon-style RPG game system for the Roo Code platform, including two MCP service modules: game state management and combat engine. It supports functions such as character creation, item management, combat dice rolling, and task tracking, and uses SQLite for persistent storage.

A read - only MCP server designed for the Bear note - taking app, allowing AI assistants such as Claude to securely access user note content by directly connecting to the SQLite database without modifying the original data.

A memory system that enhances AI programming capabilities through multi-type database integration, including vector databases, SQLite, and knowledge graphs, for storing and retrieving code patterns, algorithms, and relationships between programming concepts.

A conversation anomaly detection and logging system based on the MCP protocol that can automatically identify and record abnormal events in conversations in an SQLite database.

Overview: This README.md file provides an overview of the MCP protocol and its components, including Hosts, Clients, Servers, local data sources, and remote services. It also demonstrates how to create a GitHub MCP Server to search for repositories, issues, and create new issues. In addition, it includes an example of integrating the MCP protocol with an SQLite database.

An MCP server supporting MySQL, PostgreSQL, and SQLite, featuring fine-grained permission control, multi-database support, and cloud-ready SSL/TLS functionality, with an extensible architecture implemented using the adapter pattern

SQLite MCP Server is an enterprise-level SQLite database enhancement tool that provides 73 dedicated tools, supporting advanced analysis, JSON operations, text processing, vector search, geospatial operations, and intelligent workflow automation. It has AI-native JSON operations and enhanced security.

An MCP server that provides data retrieval and analysis services for the Ramp platform, implements ETL pipelines and in-memory SQLite database processing through the developer API, and supports multiple data loading and query tools.

An MCP server that provides email processing functions, integrates MongoDB semantic search and SQLite for efficient storage, and supports Outlook email processing, vector embedding generation, and multi - email account management.

This is a project memory library management service based on SQLite, providing storage and retrieval functions for project background, decision records, progress updates, etc. through the MCP protocol, and supporting independent data management by project path.

The MCP Thought Server is a service that provides advanced thinking tools for AI agents, enhancing reasoning, planning, and iterative optimization capabilities through the Model Context Protocol (MCP). It includes tools such as structured thinking, iterative drafting, and integrated thinking, supports SQLite persistence and an advanced confidence scoring system, and can configure environment variables to meet different needs.

MCP service integrating knowledge graph and vector database based on SQLite

A Python in - memory MCP server based on a knowledge graph, using SQLite as the backend to achieve cross - session persistent memory storage and management.

A persistent memory storage plugin based on Python and SQLite

A local file system MCP server developed based on GoMcp, providing query and file open APIs, supporting SQLite3 storage of indexes and interface operations.

A localized technical project management MCP server that provides project, feature, and task tracking capabilities for Claude. Data is stored in a local SQLite database, supporting a hierarchical organizational structure and progress management.

An MCP server that provides email processing capabilities, integrating MongoDB semantic search and SQLite efficient storage

A read - only access MCP server for SQLite databases based on the FastMCP framework, providing secure data query services for LLMs

Postal is a SQLite-based mailbox system for message transmission between two agents, implementing message queue sharing through the MCP Server using the HTTP protocol.

A Python-based MCP server that connects to a SQLite database and provides data query, schema access, and prompt template functions, supporting interaction with language models and MCP clients.

An MCP server that allows LLMs to query PostgreSQL, SQLite, and MySQL databases, supports multiple database connections, and ensures security with the default read-only mode.

ZoteroBridge is an MCP server that can directly connect to the Zotero SQLite database, enabling AI assistants to manage folders, tags, items, PDFs in the literature library, and perform library maintenance operations.

An MCP server implementation for interacting with SQLite databases based on TypeScript

A Python service for indexing Obsidian note libraries, storing metadata and content of Markdown files in an SQLite database, supporting file monitoring and Docker deployment.

An SSH server implementation based on the MCP protocol, providing secure remote access and execution functions, including SQLite database integration and TypeScript type support.

A multi - database server based on the Model Context Protocol, supporting SQLite, MySQL, PostgreSQL, and MSSQL, providing an AI - driven natural language database operation interface

An MCP SQLite Server implementation based on Node.js, providing npx installation and supporting the use of SQLite database services in environments such as Claude Desktop.

An MCP server for querying ecosyste.ms ecosystem package data, supporting fast query of key package information through a local SQLite database and providing an API fallback mechanism.

A high-performance SQLite MCP server that uses the innovative Codemode code generation method, enabling LLMs to perform database operations by generating Go code. This significantly improves efficiency and reduces latency compared to traditional tool invocation.

A Python - based MCP server that provides functions for reading, searching, and extracting content from PDF documents. It supports paginated reading, full - text search, and image extraction, and uses an SQLite cache for persistent storage.