"How to create, read from, and write to a database" matching MCP servers:

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.

Enables AI assistants to explore a PostgreSQL database, run bounded read-only SQL, inspect query plans, test hypothetical indexes, find slow queries, and check database health with compact CSV output.

CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.

Compare service-grant changes, tool alias origins, and saved MCP tool definitions with Gooo rules. Reports preserve incomplete-capture uncertainty and source bindings. No grants are applied and no compared tools are invoked.

Send email, find out why an email failed, set up sending domains, and manage templates, contacts, lists and campaigns in your AhaSend account.

Enables agent tools to validate queries, assess token costs, and extract structured datasets from unstructured text using multiple LLM providers.

MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.

Read-only MCP server for Huawei GaussDB (centralized & distributed), built for coding agents. Three-layer write protection, multi-instance config, schema exploration and single-SELECT execution.

Uptime monitoring from your AI agent: create and diagnose checks (40 types: HTTP, TCP, DNS, SSL, ICMP, databases, message queues and more), read results and incidents, and manage status pages and maintenance windows. Built into the self-hostable SolidPing server, served over streamable HTTP at /api/v1/mcp.

Read-only attack-path tools for cloud and Kubernetes: list the reachable routes from internet exposure to sensitive assets, explain each hop and the evidence behind it, and simulate a fix before recommending it. Connects to a running PerspectiveGraph engine.

Safe write access for AI agents. Stellar Jay is an append-only business fact store: every change is kept, attributed to the agent that made it, and can be undone. Agents record, correct and retract facts, read entities, and reverse a bad run with undo_changes. Self-host with stellarjay-mcp (Go, AGPL) or connect to the hosted AvianSuite server at https://mcp.aviansuite.com/mcp.

Serves local coding-agent session history over stdio, letting MCP-capable agents search past sessions across Codex, Claude Code, Gemini CLI, OpenCode, jcode, and Pi and read bounded, secret-redacted transcripts. Read-only mode restricts it to search and transcript tools, while write-enabled mode can create copies of a conversation in another agent's native format.

An MCP server that gives AI agents structured read/write access to a story-based project backlog. Agents can list stories, read content, update status, and append notes — all backed by plain markdown files that live inside your project repository. There is no shared server. The backlog files live in your repo under requirements/, committed and versioned alongside your code

Self-hostable, markdown-native team wiki with a built-in MCP server: agents search, read, and write your wiki pages (ranked Postgres full-text + semantic search, backlink traversal). Plus Atlas, which auto-generates a cited, coverage-checked wiki from your git repos and Jira.

MCP server for managing interactive processes, enabling AI agents to start, interact with, and terminate long-running programs like SSH sessions, REPLs, and installers via read/write operations.

A local workspace whose accessible pages and MCP tools are generated from the same definitions, so AI agents can do everything a person can: create, update and find notes, tasks and projects, build and arrange pages, and read any page back as a screen reader gets it.

Figma MCP server with full read/write access via plugin bridge — no API token, no rate limits. 58 tools for design automation: styles, variables, components, prototypes, and content.

A Model Context Protocol server that enables AI assistants to read from and write to Microsoft Excel files, supporting formats like xlsx, xlsm, xltx, and xltm.

MCP server for managing Apple Wallet and Google Wallet passes via the PassNinja API. Provides tools to create, list, update, and delete pass templates, passes, and webhooks.

Enables AI assistants to manage and query Tiger Cloud database services, including service lifecycle operations, database connections, and SQL execution.

LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.

Enterprise-grade MCP Server for FHIR-based EMRs. Enables AI agents to read, search, create, and update any FHIR R4 resource across major EHR systems like EPIC, Cerner, and OpenEMR.

Bridges MCP clients that require stdio to a running pREST HTTP MCP endpoint, enabling database interaction via natural language.

The official Hostim MCP server, built into the hostim CLI. An agent can deploy a Docker image or a Git repository, create managed Postgres, MySQL and Redis, add volumes and custom domains, and read app status, logs and events. Hostim runs on EU bare metal in Falkenstein, Germany. Read-only by default; tools that create, change or delete need --allow-write.

Provides structured, tool-based access to a Honeybadger account's API, enabling users to browse projects, inspect faults and notices, work with dashboards, alarms, and check-ins, and retrieve reference documentation such as BadgerQL. Runs in read-only mode by default, with optional write and delete operations, and can connect either through the hosted OAuth endpoint or a self-hosted stdio/Docker deployment.

Enables AI agents to securely interact with FHIR R4-based EMRs, supporting read, search, create, and update operations on any FHIR resource type across systems like Epic, Cerner, and OpenEMR.

Talk to AWS CLI from an MCP-speaking agent. Run any aws <service> <operation> command through the Model Context Protocol, with read-only defaults and gated write access.

Provides git-aware safe file operations, allowing AI agents to delete files while protecting git-tracked source code from accidental deletion.

High-performance MCP data plane server for Nextcloud integration, enabling AI agents to read, write, organize, and manage files and CRM assets over WebDAV and OCS APIs.

Enables publishing self-contained HTML files or directories to get short, readable links, with an MCP tool for agents to create and manage previews.