Cloud Services MCP Repositories

Integrates various tools and data sources with Large Language Models (LLMs) through the Model Context Protocol (MCP), enabling secure access and enhanced application capabilities. Implements reference servers using either the Typescript or Python MCP SDKs.

Manage files and directories with operations like reading, writing, and organizing within specified directories. Securely perform file management tasks including searching and retrieving metadata.

Interact with cloud cost data from a large language model to analyze billing, dimensions, and budgets. Provides tools for plotting and visualizing cloud expenses over time using the CloudZero v2 API.

Connects to a Waldur instance for resource management and enables communication with Claude Desktop through the Model Context Protocol (MCP). Facilitates direct interactions with Waldur resources via API token authentication.

A Model Context Protocol adapter facilitating secure interaction with the Databricks unified analytics platform. It permits natural language requests to execute arbitrary SQL, retrieve operational job inventories, and ascertain the current state of asynchronous workflows within the designated Databricks workspace.

Manage project memory banks remotely and efficiently, enabling streamlined access and manipulation of memory data.

Enables rapid integration of Anthropic's Model Context Protocol (MCP) into Claude Desktop and Cursor with easy setup and continuous updates to various tools, including document search and real-time web search.

Extract structured data from web pages using specified prompts to identify the desired fields from a given URL. This server enables integration of real-time data insights into applications.

Interact with Apify Actors for tasks like data extraction and web searching through a Model Context Protocol (MCP) interface. Supports both HTTP and local standard input/output methods for flexible integration with various clients.

Integrate with the GitLab API to access repositories, manage issues, and perform various actions seamlessly through a standardized protocol. This server offers enhancements and bug fixes over the original GitLab MCP server.

Exposes Root Signals evaluators as tools for AI assistants and agents, enabling evaluations based on quality criteria. Facilitates automated feedback to enhance AI response quality through standard and RAG evaluations, supporting network deployment with SSE transport for diverse MCP client integration.

Interact with Notion workspaces via the Notion API, enabling data retrieval and content management. Employs Markdown conversion to optimize token usage during communication with language models.

Unify access to various IT Service Management systems through a standardized API, enabling streamlined workflows and reducing complexity in managing multiple ITSM tools.

Enables AI assistants to perform web searches using Exa's search API, providing real-time web information with structured search results. It also caches recent searches for future access in a safe and controlled manner.

Connect and interact with ArangoDB databases, executing queries, managing collections, and retrieving data efficiently through a standardized protocol.

Facilitates interaction between Claude agents and the Spotify platform, providing comprehensive functionality for managing music playback sessions and executing detailed music catalog queries.

Authenticate and interact with Salesforce Agentforce agents, enabling session creation, message exchange, and management of agent interactions. Facilitates API integrations to enhance the Salesforce experience.

Interact with OpenDeepSearch's search functionalities through a standardized interface, enabling LLM applications to leverage advanced web search capabilities. Integrates seamlessly with MCP-compatible clients for enhanced search integration.

Enables semantic search capabilities over a Qdrant vector database, facilitating the retrieval and exploration of collections using OpenAI embeddings.

Provides a user-defined list of llms.txt files and a tool to fetch and read URLs within those files, facilitating the auditing of tool calls and the context returned during LLM interactions. Integrates with various IDEs and applications to enhance the development experience.

A proxy tool that enhances access to Docker official image repositories by routing requests through Cloudflare Workers, addressing access restrictions and improving download speeds for Docker images.

Provides a directory of MCP services specifically designed for integration with the Cursor editor, allowing seamless access to Smithery.ai URLs for enhancing LLM capabilities.

Manages and persists interaction styles for language models using emoji-based memory keys. Supports setting, retrieving, and maintaining conversation contexts across devices and applications while tracking history.

Establishes a read-only Model Context Protocol (MCP) gateway atop live Microsoft Dynamics 365 data via the CData JDBC Driver. This mechanism empowers Large Language Models (LLMs) to interpret and query transactional information using natural dialogue, completely abstracting the underlying SQL complexities.

Integrate natural language queries to manage and modify Salesforce data and metadata, facilitating effortless interactions with Salesforce objects and records.

Integrates with Google Cloud Healthcare FHIR APIs and public medical research databases to access and query healthcare data, including patient records and clinical data. Enables retrieval of research articles and provides insights through a secure MCP interface.

Integrates with Dify Workflow for dynamic retrieval and management of workflow parameters using the Model Context Protocol, supporting bidirectional communication with Claude. Utilizes environment variables for configuration and enables the use of multiple API keys for flexible tool creation.

Connects AI tools to Airtable for querying, creating, updating, and deleting records using natural language. It facilitates base management, table operations, schema manipulation, record filtering, and data migration through a standardized interface.

Retrieve YouTube video URLs from a custom playlist that were added within a specified timeframe, using OAuth2 for secure access to data.

Access and query Prometheus monitoring data through a Model Context Protocol server, enabling secure retrieval of metrics with authentication support and multi-tenant configurations. Streamlines the integration of Prometheus data into LLM-based applications and workflows.