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Converts documents, webpages, and media files into markdown for AI assistants using Microsoft's MarkItDown and Crawl4AI. It enables tools to read PDFs, Office files, and JavaScript-rendered websites with support for OCR and image extraction.

An MCP server that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.

Enables LLMs to read, search, convert, and extract metadata from MDX files, providing seamless interaction with MDX content through tools that convert MDX to clean Markdown format with built-in security and cross-platform compatibility.

Enables LLMs to interact with MediaWiki installations as a bot user, supporting page editing, searching, moving, deleting, comparing revisions, and retrieving site information through the MediaWiki API.

Enables LLM clients to interact with any MediaWiki wiki, supporting page creation/editing, search, file uploads, category browsing, and page history retrieval. Supports multiple wikis with OAuth2 or bot password authentication for both public and private wikis.

This MCP server provides complete MediaWiki markup syntax documentation by dynamically fetching and consolidating information from official MediaWiki help pages. It enables LLMs to access up-to-date and comprehensive MediaWiki syntax information.

MCP protocol server for managing multi-project Markdown documents, supporting project isolation and LLM tool integration.

Provides persistent AI agent memory using a local vector database for long-term semantic storage and short-term session scratchpads. It enables low-latency memory operations including search, storage, and bulk management without external cloud dependencies.

Exposes local persistent memory as an MCP server with Markdown storage, PARA organization, Zettelkasten linking, and SQLite FTS5 search. Enables Claude and other MCP-compatible agents to store, organize, and retrieve knowledge with context-based recommendations through the Olima association engine.

A lightweight MCP server that provides persistent key-value storage for AI agents using SQLite and Bun. It enables agents to store, retrieve, and manage memories with optional JSON metadata for long-term context retention.

A REST API server implementation for message handling with Oracle Database integration via ODBC, offering endpoints for creating and retrieving messages with comprehensive error handling.

Enables AI assistants to interact with Metabase through its API, allowing them to list, read, execute, and manage databases, tables, dashboards, cards, collections, and queries with support for multiple export formats.

Enables AI assistants to manage Facebook and Instagram advertising data through the Meta Marketing API. It supports full campaign lifecycle management, performance analytics, audience targeting, and creative optimization.

MCP Server for publicly available real-time Indian Mutual Funds data

Microsoft Dataverse MCP Server by CData

Microsoft Excel MCP Server by CData

An MCP server that enables AI models to control electronic music instruments by sending MIDI messages to hardware synths and drum machines. It supports various MIDI commands including notes, control changes, and system exclusive messages through USB or DIN MIDI interfaces.

Enables large language models to interact with Milvus vector databases through natural language, supporting semantic search with built-in OpenAI-compatible embedding services and comprehensive collection management.

Connects AI clients to MindsDB via the MySQL protocol to execute SQL queries, manage databases, and perform semantic searches within knowledge bases. It enables automated workflows through job scheduling and provides seamless integration with external data sources.