"Database search and data processing tools" matching MCP servers:

An MCP server that provides utility tools for markdown processing, including ADF-to-markdown conversion, table formatting, and table of contents management.

mcp using PyPDF2 to: • merge-pdfs • extract-pages • search-pdfs • merge-pdfs-ordered (merge in user spec. order) • find-related-pdfs (regex extracted text for related PDF files)

Word document reading and writing MCP implemented in Node.js

A collection of simple, practical MCP servers that require zero configuration, enabling web search via DuckDuckGo (no API key needed) and management of Hexo blogs through AI.

An MCP server that provides tools for analyzing, linting, formatting, and generating Markdown content. It enables users to programmatically manage Markdown files through features like table of contents generation, statistics calculation, and JSON-to-table conversion.

Enables agents to manage a store's catalog, storefront, orders, customers, discounts, and reporting through scoped MCP tools while keeping credentials in local configuration.

An MCP server for intelligent novel processing that enables precise token-based text segmentation and management of bulk rewriting tasks. It integrates with the Cursor editor to facilitate automated content transformation workflows and prompt management.

Provides MCP servers to interact with WordPress sites via REST API, supporting multiple sites and aggregated tools.

A Model Context Protocol server that extracts embedded data (such as i18n translations or key/value configurations) from TypeScript/JavaScript source code into structured JSON configuration files.

MCP server for Yandex Wiki with full-text search. Read and write pages, comments, attachments, and dynamic tables (grids); optional server-side read-only mode for agents. Docker-ready.

A TypeScript implementation of a Model Context Protocol server that provides marketing tools based on Open Strategy Partners' methodologies, enabling content creation, optimization, and product positioning through tools like value map generation, meta information creation, and content editing.

Generates importable Optimizely CMS 12 .episerverdata packages from content plans by reading a content-type export and writing the file, without interacting with a CMS instance.

Connects AI assistants to Confluence Server/Data Center, enabling search, content management, attachments, and natural-language interaction with your Confluence instance.

Enables web content extraction and Google Search through Google AI Studio's URL context functionality. Supports batch processing of multiple URLs and returns structured JSON output for web page text and image analysis.

Provides AI-powered tools to apply UX/UI best practices, Nielsen's heuristics, cognitive biases, and Material-UI patterns to React components. Enables automated application of responsive design, Apple design patterns, and complete UX guidelines through natural language commands.

Enables interaction with Atlassian Data Center products (Jira and Confluence) through natural language, with secure credential management.

Turns a WordPress site into MCP-accessible tools so AI clients can build pages, manage content, plugins, users, settings, and media, while running performance and security audits. It also integrates with installed builders, plugins, and services such as Elementor, WooCommerce, SEO tools, and form builders when available.

Read-only MCP server for exploring WordPress MySQL/MariaDB databases. Provides schema inspection, relationship mapping, and safe SQL querying.

Provides MCP integration for Atlassian Data Center products including Jira, Confluence, and Bitbucket.

MCP servers for self-hosted Atlassian Data Center (Jira, Confluence, Bitbucket) enabling AI assistants to search, manage, and interact with issues, pages, and pull requests.