"Proof-of-concept examples for Multi-Component Processes (MCPs)" matching MCP servers:

A multi-purpose MCP server for AI-powered healthcare assistance that processes clinical data through configurable LLM providers. Maintains webhook endpoints for patient data processing with PostgreSQL logging and OpenAPI documentation.

Read-only MCP server for querying PostgreSQL, MySQL, and SQLite from AI agents — multi-database, safe by default.

A knowledge graph memory server using SQLite to provide persistent, isolated contexts for organizing information into searchable categories like work and personal projects. It features unique ID-based operations and a token-efficient serialization format designed to optimize interactions with LLMs.

MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.

Enables querying multiple SQL Server, Azure SQL, or Synapse databases through a single MCP interface, with support for read-only targets and various authentication methods.

An MCP server for managing multiple MySQL and MariaDB database connections simultaneously, allowing users to run SQL queries and manage schemas through AI-powered tools. It features dynamic connection management, persistent configuration, and granular tools for database, table, and index operations.

Enables AI coding assistants to query and manage multiple MySQL and MariaDB databases through a single MCP server, with SQL injection protection and read-only mode by default.

A Model Context Protocol server that provides read-only access to PostgreSQL databases with enhanced multi-schema support, allowing LLMs to inspect database schemas across multiple namespaces and execute read-only queries while maintaining schema isolation.

A simple program that helps you connect to many PostgreSQL databases at once, providing read-only access and hot-reload configuration.

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.

An MCP server that enables Claude to query multiple databases (PostgreSQL, ClickHouse, MaxCompute) with automatic schema discovery and intelligent table search.

Enables LLM clients to inspect and query your own GCP and AWS infrastructure, including BigQuery/Athena, CI build systems, container/serverless runtimes, and their logs through configurable environments.

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

Connect to your TTRPG campaign's repository and database. Instead of retrieving prose, its 48 tools (20 read, 28 write) return typed state: 14 entity schemas (NPCs, factions, locations, sessions, lore), relationship and knowledge-graph queries, wiki blocks, and a narrative-state bundle of open threads and canon facts.

Enables simultaneous querying and schema exploration across multiple database types, including PostgreSQL, MySQL, SQL Server, and SQLite. It supports parallel query execution and detailed inspection of tables and schemas across different database instances.

The Multi DB MCP Server is a high-performance implementation of the Database Model Context Protocol designed to revolutionize how AI agents interact with databases. Currently supporting MySQL and PostgreSQL databases.

A multi-server implementation that uses OpenAI's LLM to orchestrate multiple tool servers providing web search, weather lookup, random facts, and PostgreSQL database querying capabilities.

A multi-database MCP server supporting PostgreSQL, ClickHouse, and MySQL that enables database exploration and SQL execution through MCP stdio or HTTP API.

A serverless, multi-tenant implementation of MCP servers that runs on Vercel with fluid compute mode, allowing multiple users to connect to the same endpoint while maintaining session state through Redis.