An MCP server that enables AI assistants to interact with the Ulysses writing app on macOS through the x - callback - url API, providing functions such as document creation, content management, navigation, and metadata operations.

The Kaltura MCP server is a service that implements the Model Context Protocol (MCP), providing AI models with standardized interaction capabilities with the Kaltura media management system, including media upload, metadata management, classification, and user management.

The MCP server implementation of OpenMetadata, providing a standardized interface to interact with OpenMetadata

A model context protocol server based on LanceDB, providing functions such as vector storage, similarity search, and metadata management

MCP-RTFM is an intelligent document management server that automatically creates and maintains high-quality project documents through content analysis and metadata generation.

Hologres MCP Server is a general interface service that connects AI agents with the Hologres database. It supports multiple communication modes and provides functions such as database metadata access, SQL execution, and statistical management.

The glif - mcp - server is an MCP server for running AI workflows, supporting the management and running of glifs and robot tools from glif.app, and providing rich metadata access functions.

This is an MCP server for the IBM FileNet content manager, providing a standardized interface for AI models and supporting functions such as document management, folder operations, metadata query, and search.

The Python Alfresco MCP Server is an Alfresco Content Services Model Context Protocol server built on the FastMCP 2.0 framework. It provides 15 tools such as full - text search, document management, and metadata operations, supports multiple transport protocols such as STDIO/HTTP/SSE, and is suitable for both Alfresco Community Edition and Enterprise Edition.

The Xano MCP Server is a server based on the Model Context Protocol, used to interact with the Xano metadata API and provide database management tools for AI assistants.

The AIStor MCP server is a service based on the Model Context Protocol (MCP) for interacting with AIStor object storage. It supports various operations, including reading, writing, deleting, and management functions, such as listing buckets and objects, getting metadata, creating presigned URLs, and using AI to describe object content. It has flexible configuration and can enable operations at different permission levels through flags.

Paperless MCP is an open - source modern document management system designed to provide enterprises with an efficient digital document processing solution, including document storage, organization, search, and processing, supporting functions such as OCR, metadata extraction, and automatic classification, while ensuring security and compliance.

The DataverseDevTools MCP Server is a toolset designed for Dynamics 365/Dataverse developers. It provides functions such as user management, data operations, metadata exploration, and troubleshooting directly within the IDE or MCP client through the Model Context Protocol (MCP) without switching to external tools.

An MCP server for interacting with the Google Sheets API, providing management functions for spreadsheets, worksheets, values, and developer metadata.

The Popmelt MCP Server is a dynamic design system generation platform based on JSON metadata files. It provides a CSS generation engine, a design token system, component variant management, and real-time preview functions, and supports configuration and application through a RESTful API.

MCP OpenMetadata is an OpenMetadata service interface integrated with FastMCP, providing convenient metadata management functions, including queries for table metadata, sample data, and ownership information.

A Markdown editor server that follows the MCP 2025 standard, providing document editing tools based on semantic structure, supporting intelligent search, content replacement, element operations, and metadata management.

An interactive server for dbt project metadata, providing functions such as node search, dependency tracing, and column-level lineage analysis

A Python-based Model Context Protocol (MCP) server with a file system backend that provides functions such as note-taking, file operations, directory management, search, compression, and metadata retrieval.

An MCP server for App Store Connect and Google Play Console APIs, providing localized ASO workflow tools, supporting metadata management, version release, and store synchronization.

A multimedia metadata management server based on the FastMCP framework, providing RESTful API interfaces

Hologres MCP Server is a general interface service that connects AI agents with the Hologres database. It supports two communication modes, STDIO and SSE, and provides functions such as database metadata access, SQL execution, and statistics management.

The ClinicalTrials MCP Server is a bridging service that connects AI assistants with the clinical trial database of ClinicalTrials.gov. It provides functions such as clinical trial search, metadata acquisition, and CSV data management through the MCP protocol, supporting medical research and analysis.

A prompt management server based on the Model Context Protocol (MCP), supporting the storage, retrieval, and management of prompt templates through Markdown files and YAML metadata.

Doris MCP Server is a backend service based on FastAPI that implements the MCP protocol, converts natural language to SQL through LLM, and provides database connection, metadata management, and query analysis functions.

The MCP server provides API integration services for Apache Gravitino, supporting metadata management, tag association, and user role operations.

A FastMCP integration project providing MCP services for Apache Gravitino, supporting metadata management, tagging, and user role functions.

A Google Analytics data API service based on the MCP protocol, providing functions such as report query, audience management, and metadata access.

Aleph-10 is an MCP server that combines weather data services and vector memory storage, providing weather information query and semantic-based vector memory management functions, supporting multiple embedding options and metadata filtering.