What is an MCP server?
An MCP server is a program built on the Model Context Protocol that wraps a tool, data source, or API — like file access, a database, or web search — into a capability an AI assistant can discover and call.
Browse MCP servers by category and sort by GitHub stars or newest additions. Open a listing for configuration and setup details.
optimisticdur
Zero burden, ready-to-use Model Context Protocol (MCP) server for interacting with MySQL and automation. No Node.js or Python environment needed. mcp, mcp-server, model-context-protocol, mysql
imankamyabi
Model Context Protocol server for managing Amazon DynamoDB resources
dubydu
A lightweight Model Context Protocol (MCP) server that enables Large Language Models (LLMs) to autonomously interact with SQLite databases.
dynamodb-toolbox
Leverages your Schemas and Access Patterns to interact with your DynamoDB Database using natural language.
freakynit
A lightweight MCP (Model Context Protocol) server built to query Postgres database. It provides comprehensive tools for database operations, table introspection, and query execution with smart permission handling.
w2pwinlinux
mcp-server-presupuesto-mysql1
aqaranewbiz
CDataSoftware
This read-only MCP Server allows you to connect to MariaDB data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).
CleverCloud
A Node.js application on Clever Cloud that uses an MCP server for PostgreSQL along with a language model to enable natural language querying of a PostgreSQL database
haymon-ai
Database MCP server for MySQL, MariaDB, PostgreSQL & SQLite
FalkorDB
An open-source Text2SQL tool that transforms natural language into SQL using graph-powered schema understanding. Ask your database questions in plain English, QueryWeaver handles the weaving.
guocjsh
Super SQL is a Java framework based on advanced generative large models, focusing on transforming database table structures through Retrieval-Augmented Generation (RAG) technology into intelligent conversions from natural language text to SQL queries (Text to SQL). This framework
MCP-Mirror
Mirror of
showjason
MCP-Mirror
Mirror of
nsh58
CDataSoftware
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Oracle HCM Cloud (beta): https://www.cdata.com/download/download.aspx?sku=KMZK-V&type=beta
agentesq
Weaviate MCP Server
MCP-Mirror
Mirror of
SoftwareTree
Database-agnostic MCP server that exposes relational databases as governed business objects (Customers, Orders, Products) for AI agents via ORM abstraction — instead of raw SQL or schema access. Works with any JDBC-compliant database (PostgreSQL, MySQL, Oracle, SQL Server, SQLite
xoniks
Transform natural language into beautiful, interactive data visualizations. This server uniquely integrates powerful technologies like DuckDB, Ollama, and Plotly, streamlining complex data analysis workflows into a single, conversational experience within the Model Context Protoc
sven-olding
JhiNResH
davidwynter
A simple MCP server to access Qdrant
tobecrazy
A postgresql-mcp server
actstorms
MCP-Mirror
Mirror of
gigamori
An MCP server that executes SQL via ConnectorX and streams the result to a CSV or Parquet file. Supports PostgreSQL, MariaDB, BigQuery, RedShift, MS SQL Server, etc.
MCP-Mirror
Mirror of
terno-ai
TernoDBI is a database intelligence layer designed for Security and Accuracy, bridging the gap between AI Agents and Enterprise Data. It acts as a powerful standalone Model Context Protocol (MCP) server, or it can be directly embedded into your existing Django projects. Either wa
fmepm
Connect AI agents to Oracle EPM Cloud (Planning, PBCS, EPBCS) via REST APIs. Automate month-end close, run business rules, manage substitution variables, refresh databases, export data slices, and monitor job status through natural language. Supports mock mode for testing without
kenokim
danchev
A Model Context Protocol (MCP) server for agentic retrieval and semantic search over unstructured and structured data using Milvus, a high-performance vector database. This server enables large language model (LLM) applications to efficiently index, store, and retrieve vector emb
iotassss
marcoeg
An MCP server to query the NIST National Vulnerability Database (NVD)
CDataSoftware
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Oracle Service Cloud (beta): https://www.cdata.com/download/download.aspx?sku=KOZK-V&type=beta
georgi-terziyski
FarukNetworks
MCP server for MSSQL
WaelDataReply
planetscale
The PlanetScale MCP server is a hosted MCP server that exposes your PlanetScale organizations, databases, branches, schema, and Insights data to MCP-compatible tools. It's authenticated via OAuth for configurable access to permissions and scopes, and it's accessible from any MCP
elementalcollision
An MCP server for agentic integration with the VAST Database and Catalog.
Arun-kc
A read-only trust + intelligence layer between AI agents and your database — the agent never writes SQL, PII is refused before the query runs, and every call lands in a tamper-evident audit log. Postgres today.
hjsad1994
burakdirin
An MCP server implementation that enables Claude AI to interact with Clickhouse databases.
Jasondeepny
mysql-mcp-server. java version
he426100
A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases
CDataSoftware
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Oracle Sales (beta): https://www.cdata.com/download/download.aspx?sku=EOZK-V&type=beta
HarmoniaEpic
sisisin-sandbox
Adhikram
yhwang
A MCP server which provides tools function to insert into and query data from the Milvus vector database.
CDataSoftware
This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free [CData MCP Server for SQL Server Analysis Services (beta)](https://www.cdata.com/download/download.aspx?sku=FYZK-V&type=beta).
welove111
Live Bitcoin price, AI-powered predictions for 2027-2030 (82% accuracy across 4 halving cycles), halving countdown analytics, on-chain market signals, and Lightning donation tools. Free, open MCP server — no auth required for core tools.
yairsabag
jamesg31
ConnorDaytonaHolmes
MCP server to interact with MSSQL
boyzoid
An MCP server for connecting to a MySQl database.
SuMiaoALi
A general Mysql-MCP-Server
CDataSoftware
This read-only MCP Server allows you to connect to Snowflake data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at
CDataSoftware
This read-only MCP Server allows you to connect to PostgreSQL data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at
Common questions about MCP servers, tools, and integrations
An MCP server is a program built on the Model Context Protocol that wraps a tool, data source, or API — like file access, a database, or web search — into a capability an AI assistant can discover and call.
Every server's detail page includes ready-to-paste config snippets for Claude Desktop, Cursor, VS Code, and other common clients — most installs take just a couple of minutes.
Most servers listed here are free and open source. Some wrap third-party APIs (cloud services, paid data providers, etc.) that require your own API key or subscription.
A local MCP server runs on your device and usually connects over stdio, giving you more direct control over data but requiring a runtime and installation. A remote MCP server is hosted by a provider and connects over HTTP, making setup easier while adding network and provider availability dependencies.
Claude Desktop, Claude Code, Cursor, VS Code, Codex, and other AI clients that support the Model Context Protocol can connect to MCP servers. Configuration formats and supported transports vary by client.
Review the source repository, maintenance activity, dependencies, requested permissions, and data-handling documentation before installation, and prefer official or trusted maintainers. Use least-privilege credentials for sensitive access such as files, databases, shells, and production systems.