PlusE is the Ultra Data Source for Your Trading AI—a revolutionary Model Context Protocol (MCP) service that transforms noisy market data into AI-ready trading intelligence.
A comprehensive production-ready MCP server with AI integration, plugin management, and web-based administration. Features multi-database support, RAG capabilities, SSH/SFTP access, and a built-in plugin hub for managing the MCP ecosystem.
MCP server for pmptwiki — auto-saves project milestones with summaries, manages version history, and publishes AI-driven projects to pmptwiki.com community platform.
A comprehensive server that enables interaction with PocketBase databases through the Model Context Protocol, providing authentication, collection management, record operations, file handling, and administrative functionality.
Enables MCP-compatible applications to directly interact with PocketBase databases for collection management, record operations, schema generation, and data analysis.
Manages poetry catalogs with state-based tracking, thematic connections via nexuses, quality scoring across 8 dimensions, and submission tracking to literary venues, treating poems as artifacts with metadata stored in markdown frontmatter.
Enables interaction with live Pokémon data through PokeAPI, providing comprehensive Pokémon information, battle calculations, moveset validation, and team analysis. Supports searching Pokémon and moves, calculating stats, checking type effectiveness, and analyzing team synergies with in-memory caching for improved performance.
Enables users to retrieve Pokémon statistics, sprite images, and complete information using the PokeAPI. Supports querying by Pokémon name or ID number to get base stats, various sprite URLs including shiny variants, and comprehensive Pokémon data.
Multi-database SQL validation service with Docker containerization, supporting PostgreSQL, MySQL, Oracle, SQL Server, and more, providing secure SQL execution with transaction rollback and zero data residue.
Enables interaction with 20+ databases (PostgreSQL, MongoDB, Neo4j, Elasticsearch, Redis, and more) through a single unified interface, allowing cross-database queries and operations via natural language.
MCP server with 14 tools for PostgreSQL database operations. Query databases, explore schemas, analyze tables, with SQL injection prevention and read-only mode by default.
An extended PostgreSQL management and analysis server that provides database professionals with tools for schema management, query optimization, performance monitoring, and health analysis through a collection of specialized functions.
This server enables interaction with PostgreSQL databases through the Model Context Protocol, optimized for the AWS Bedrock AgentCore Runtime. It provides tools for executing read-only queries, exploring database schemas, and monitoring table statistics or slow queries.
Enables interaction with PostgreSQL databases through MCP, allowing users to explore database structures, inspect table schemas, and execute read-only SQL queries.
Enables comprehensive PostgreSQL database management through natural language including queries, schema operations, user management, and administrative tasks. Features enterprise-grade connection pooling, transaction support, and full database administration capabilities.
A Model Context Protocol server that provides read-only access to PostgreSQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.
An enhanced Model Context Protocol server that enables LLMs to inspect database schemas with rich metadata and execute read-only SQL queries with safety checks.
Provides AI-driven PostgreSQL database management with secure OAuth 2.1 authentication, enabling users to administer, monitor, and query databases with support for extensions like pgvector, PostGIS, and pg_cron.
Provides secure, read-only access to PostgreSQL databases for schema inspection and data querying. It enables users to list tables, describe structures, and execute SELECT statements while strictly blocking destructive operations.
Enables direct execution of PostgreSQL queries through the Model Context Protocol. Supports both SELECT and non-SELECT operations with dual communication modes (stdio and HTTP REST API).