AWS Pricing MCP alternatives

1

ShopSavvy Data API MCP Server

MCP server providing AI assistants with live product data, pricing, and price tracking from ShopSavvy.

ShopSavvy Data API MCP Server implements the Model Context Protocol to enable AI assistants to access and interact with ShopSavvy's extensive product database. It supports product lookup, retrieves current and historical pricing from multiple retailers, and allows scheduled monitoring of product prices. The server also manages API usage analytics and credit consumption, offering robust error handling and developer tools for integration.

5 3 MCP

2

Blocknative MCP Server

Real-time multi-chain gas price prediction server compliant with Model Context Protocol.

Blocknative MCP Server provides real-time gas price predictions and transaction cost estimations across multiple blockchains using Blocknative’s APIs. It offers tools for predicting gas prices, estimating gas costs, and listing supported chains, all accessible through MCP-compatible interfaces. The server is asynchronous, supports both authenticated and unauthenticated API usage, and can be integrated with developer tooling such as Claude Desktop and FastMCP. Interactive prompts and a web inspector enhance developer experience for exploring gas price data.

4 8 MCP

3

Uniswap V3 Price MCP Server

Real-time Uniswap V3 token price server for AI agents and DeFi automation.

Uniswap V3 Price MCP Server delivers real-time token prices from Uniswap V3 across major EVM-compatible networks, including Ethereum, Polygon, Arbitrum, and Optimism. Optimized for AI agents and DeFi automation, it queries token prices in USD or other stablecoins, with optional conversion via CryptoCompare. The server is designed for compatibility with MCP clients, enabling seamless and standardized integrations. Environment setup is straightforward, leveraging Infura endpoints and Node.js.

2 2 MCP

4

Alpha Vantage MCP Server

Real-time financial data access for models via standardized protocol.

Alpha Vantage MCP Server implements the Model Context Protocol (MCP) to provide real-time and historical financial market data, including stock quotes, company profiles, cryptocurrency exchange rates, ETF information, and options chain analytics. It delivers a standardized API interface, enabling seamless integration with AI clients such as Claude Desktop. The server manages API keys, error handling, and rate limits for reliable data delivery.

81 35 MCP

5

books-mcp-server

A server implementation supporting Model Context Protocol integration with cherry-studio.

books-mcp-server allows users to set up a Model Context Protocol (MCP) compliant server for managing and interacting with AI models. It enables integration with cherry-studio through STDIO commands and structured server configurations. The tool provides straightforward setup instructions and supports launching the server with customizable parameters, making it suitable for various AI context management tasks.

5 2 MCP

6

Alibaba Cloud Tablestore MCP Servers

Reference MCP server implementations for Alibaba Cloud Tablestore in Java and Python

Alibaba Cloud Tablestore MCP Servers provides multiple implementations (Java and Python) of MCP (Model Context Protocol) server-side components. It includes sample projects and a production-ready RAG-based knowledge Q&A system, enabling management of context and knowledge for AI applications on Tablestore. The libraries showcase standardized approaches for integrating Tablestore with modern AI use cases requiring context handling.

148 38 MCP

7

pyATS MCP Server

Model-driven STDIO server for safe, structured network automation with Cisco devices.

Implements a Model Context Protocol (MCP) server that wraps Cisco pyATS and Genie for secure, structured interaction with network devices. Provides JSON-RPC 2.0 communication over standard input/output, enabling integrated control through model-driven tools for discovery, command execution, configuration, and logging. Built for containerized environments and workflow tools like LangGraph, it emphasizes safety through input validation and command restrictions.

50 15 MCP

8

Node.js Sandbox MCP Server

Run ephemeral, containerized JavaScript code via Model Context Protocol.

Node.js Sandbox MCP Server provides an implementation of the Model Context Protocol (MCP) for safe and isolated JavaScript code execution in ephemeral Docker containers. It supports on-the-fly npm dependency installation, execution of shell commands, and the management of Node.js environments with resource limits. The server can be integrated with clients like Claude Desktop and is available as a Docker image or via NPX for rapid deployment.

133 25 MCP

9

mcp-image-compression

High-performance image compression microservice based on MCP architecture.

mcp-image-compression is a microservice designed for fast and efficient compression of images, supporting multiple mainstream formats such as JPEG, PNG, WebP, and AVIF. Built with the Model Context Protocol (MCP) architecture, it enables developers to optimize image resources for better web and app performance. The service features smart compression, batch processing, and customizable quality control, suitable for both offline and online workflows.

28 6 MCP

10

awslabs/mcp

Specialized MCP servers for seamless AWS integration in AI and development environments.

AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.

6,220 829 MCP

11

1mcp-app/agent

A unified server that aggregates and manages multiple Model Context Protocol servers.

1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

96 14 MCP

12

Peek.com Remote MCP Server

AI-powered travel planning with real-time experiences, pricing, and availability.

Peek.com Remote MCP Server provides AI assistants with access to over 300,000 verified travel experiences, offering real-time availability, pricing, and detailed information. Using the Model Context Protocol, it enables seamless integration with multiple AI platforms, empowering tailored trip planning. The server validates experience availability and provides direct booking links, ensuring users receive up-to-date and actionable travel options. Designed with privacy in mind, it does not collect or store personal information.

1 1 MCP

13

mcp-server-js

Enable secure, AI-driven process automation and code execution on YepCode via Model Context Protocol.

YepCode MCP Server acts as a Model Context Protocol (MCP) server that facilitates seamless communication between AI platforms and YepCode’s workflow automation infrastructure. It allows AI assistants and clients to execute code, manage environment variables, and interact with storage through standardized tools. The server can expose YepCode processes directly as MCP tools and supports both hosted and local installations via NPX or Docker. Enterprise-grade security and real-time interaction make it suitable for integrating advanced automation into AI-powered environments.

31 13 MCP

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mcp-server-templates

Deploy Model Context Protocol servers instantly with zero configuration.

MCP Server Templates enables rapid, zero-configuration deployment of production-ready Model Context Protocol (MCP) servers using Docker containers and a comprehensive CLI tool. It provides a library of ready-made templates for common integrations—including filesystems, GitHub, GitLab, and Zendesk—and features intelligent caching, smart tool discovery, and flexible configuration options via JSON, YAML, environment variables, or CLI. Perfect for AI developers, data scientists, and DevOps teams, it streamlines the process of setting up and managing MCP servers and has evolved into the MCP Platform for enhanced capabilities.

5 1 MCP

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mcp

Universal remote MCP server connecting AI clients to productivity tools.

WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.

27 6 MCP

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python-openstackmcp-server

MCP server enabling AI-powered OpenStack cloud management

python-openstackmcp-server implements the Model Context Protocol (MCP) to provide an interface for AI assistants to interact seamlessly with OpenStack cloud services. It supports the management of compute, image, identity, network, and block storage resources via the MCP standard, bridging the gap between AI clients and OpenStack APIs. The server connects to the OpenStack SDK and exposes capabilities such as authentication, configuration management, and resource operations for cloud environments.

15 6 MCP

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MCP Nutanix

An MCP server enabling LLM access to Nutanix Prism Central APIs.

MCP Nutanix is an experimental Model Context Protocol (MCP) server that allows large language models to interact with Nutanix Prism Central APIs. It facilitates listing and accessing resources such as VMs, clusters, and hosts via standardized MCP client-server integration, using the Prism Go Client for backend communication. The implementation supports both interactive and static credential methods, making it compatible with various MCP clients including Claude and Cursor.

11 5 MCP

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mcp-server

A production-ready Model Context Protocol server for advanced aerospace and astrodynamics calculations.

The mcp-server provides a Model Context Protocol (MCP) server specifically designed for aerospace and astrodynamics computations. It offers both STDIO and HTTP/SSE transport options, enabling seamless integration with MCP clients for tasks like celestial body ephemeris, orbital mechanics, geometry, ground station operations, and time system conversions. Powered by the IO Aerospace Astrodynamics framework, it supports rapid, context-aware scientific tool execution for applications in mission analysis and research. Extensible deployment methods, including Docker and .NET, and a focus on easy client integration are core components.

1 1 MCP

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Redis Cloud API MCP Server

Natural language interface for managing Redis Cloud via Model Context Protocol

Provides a Model Context Protocol (MCP) server that enables users to manage Redis Cloud resources and accounts using natural language commands. Supports integration with clients such as Claude Desktop and Cursor IDE, facilitating operations such as creating databases, managing subscriptions, retrieving billing information, and monitoring tasks. Offers standardized endpoints to simplify cloud provider and plan selection, as well as database module configuration and task tracking.

37 16 MCP

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PythonAnywhere Model Context Protocol Server

Bridge AI-powered tools with PythonAnywhere for secure, programmatic environment management.

PythonAnywhere Model Context Protocol Server implements the MCP, allowing AI clients and automation tools to securely manage files, web apps, and scheduled tasks within a PythonAnywhere account. It offers a standardized interface to perform core operations like editing files, deploying or managing web apps, and handling scheduled jobs with fine-grained access control. Designed for integration with tools such as Claude Desktop, GitHub Copilot, and Cursor, it ensures auditability of actions and supports multiple installation workflows.

8 4 MCP

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mcp-open-library

Model Context Protocol server for accessing Open Library book and author data.

Provides an implementation of a Model Context Protocol (MCP) server to enable AI assistants and clients to search and retrieve book and author information from the Open Library API. Supports searching by title, author name, and various identifiers, as well as fetching author photos and book covers. Returns structured, machine-readable data suitable for AI model context integration. Offers installation via Smithery, manual setup, and Docker deployment.

34 9 MCP

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wizzy-mcp-tmdb

Standardized MCP server to access and search The Movie Database content for AI clients.

wizzy-mcp-tmdb is a Model Context Protocol (MCP) server implemented in JavaScript, designed to provide AI clients with tools to search and retrieve data from The Movie Database (TMDB). It offers standardized endpoints for multi-search, fetching detailed movie or TV information, and retrieving trending content. The server communicates over stdio and can be easily integrated into MCP-compatible clients via configuration. Comprehensive unit and integration tests ensure reliability across typical and edge-case API uses.

0 3 MCP

23

Qiniu MCP Server

Bridge AI models to Qiniu cloud storage and multimedia services via the Model Context Protocol.

Qiniu MCP Server implements the Model Context Protocol (MCP) to enable AI model clients to seamlessly access Qiniu cloud storage, multimedia, and CDN services within the context of user interactions. It provides capabilities such as bucket and file listing, file uploading, file reading, image processing tasks like resizing and rounded corners, as well as CDN cache operations. The server is designed to be integrated with AI tooling like VS Code's Cline plugin, supporting contextual data access and manipulation via a standardized protocol.

30 13 MCP

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Tilt MCP Server

Programmatic Access to Tilt via Model Context Protocol for LLMs

Tilt MCP Server provides Model Context Protocol (MCP) capabilities to enable seamless integration between Tilt—an environment for managing Docker/Kubernetes workloads—and large language model (LLM) applications. It allows LLMs and AI assistants to interact programmatically with Tilt resources, retrieve logs, monitor status, trigger actions, and utilize guided workflows. The server exposes standardized resources, tools, and prompts for intelligent management and automation of Tilt-based development environments.

2 1 MCP

25

mcpmcp-server

Seamlessly discover, set up, and integrate MCP servers with AI clients.

mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

17 6 MCP

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OpenMCP

A standard and registry for converting web APIs into MCP servers.

OpenMCP defines a standard for converting various web APIs into servers compatible with the Model Context Protocol (MCP), enabling efficient, token-aware communication with client LLMs. It also provides an open-source registry of compliant servers, allowing clients to access a wide array of external services. The platform supports integration with local and remote hosting environments and offers tools for configuring supported clients, such as Claude desktop and Cursor. Comprehensive guidance is offered for adapting different API formats including REST, gRPC, GraphQL, and more into MCP endpoints.

252 27 MCP

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cloudflare/mcp-server-cloudflare

Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

2,919 251 MCP

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FHIR MCP Server

A Model Context Protocol server for seamless interaction with FHIR resources and AI tools.

FHIR MCP Server implements a full Model Context Protocol server, enabling large language model agents to perform comprehensive CRUD operations on FHIR-compliant healthcare data. It offers standardized integration with various clinical data sources, natural-language query capabilities, and supports secure authentication via OAuth2. The server includes semantic search, AI-powered document processing, terminology resolution, Docker deployment, and is optimized for use with MCP-compatible clients like Claude Desktop.

34 5 MCP

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tfmcp

A CLI tool for managing Terraform via the Model Context Protocol (MCP).

tfmcp is a command-line tool that enables interaction with Terraform using the Model Context Protocol (MCP). It allows language models and AI assistants to analyze, manage, and operate Terraform environments programmatically, supporting operations such as configuration analysis, state management, and secure application of changes. The tool offers enterprise-grade security, audit logging, and flexible deployment options including Docker support. Designed for efficiency and seamless integration, tfmcp simplifies infrastructure automation workflows for both developers and AI systems.

345 23 MCP

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Selenium MCP Server

Model Context Protocol server for web automation via Selenium.

Selenium MCP Server provides a Model Context Protocol (MCP) compliant interface that enables AI assistants to automate web interactions using Selenium WebDriver. It offers tools for page navigation, element discovery and manipulation, JavaScript execution, screenshot capture, and browser log access. The server supports seamless integration with MCP clients, extensible testing and debugging options, and fine-grained browser local storage management.

3 1 MCP

31

quran-mcp-server

MCP server to access Quran.com API with AI tool compatibility.

quran-mcp-server exposes the Quran.com corpus and associated data through a Model Context Protocol (MCP) server generated from an OpenAPI specification. It provides tool endpoints for chapters, verses, translations, tafsirs, audio, languages, and more. The server is designed for seamless integration with large language models (LLMs) and AI tools, supporting both Docker and Node.js environments. Advanced logging features and flexible deployment options are included for debugging and development.

49 10 MCP

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Kubernetes MCP Server

A standardized MCP interface for Kubernetes cluster management and introspection.

Kubernetes MCP Server enables interaction with Kubernetes clusters via the Model Context Protocol, providing a consistent and standardized interface across various tools and environments. It features resource discovery, detailed inspection, metrics retrieval, resource manipulation, and supports multiple communication modes such as stdio, SSE, and streamable HTTP. Designed for flexibility and security, it allows both read-only and full-access modes and works with different Kubernetes contexts.

117 21 MCP

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pluggedin-mcp-proxy

Unified proxy server for Model Context Protocol data exchanges and AI integrations

Aggregates multiple Model Context Protocol (MCP) servers into a single, unified proxy interface, supporting real-time discovery, management, and orchestration of AI model resources, tools, and prompts. Enables seamless interaction between MCP clients such as Claude, Cline, and Cursor, while integrating advanced document search, AI document exchange, and workspace management. Provides flexible transport modes (STDIO and Streamable HTTP), robust authentication, and comprehensive security measures for safe and scalable AI data exchange.

87 15 MCP

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Portainer MCP

Connect AI assistants securely to Portainer environments using the Model Context Protocol.

Portainer MCP is an implementation of the Model Context Protocol (MCP) designed for seamless integration between AI assistants and Portainer-managed container environments. It enables management of Portainer resources and allows execution of Docker and Kubernetes commands through AI interfaces in a secure, standardized manner. The tool provides direct protocol-based access to environment data, facilitating automation and operational insights for container infrastructures.

81 16 MCP

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Mermaid MCP Server

AI-powered natural language to Mermaid diagram server via Model Context Protocol

Mermaid MCP Server enables seamless integration with AI assistants, allowing users to generate professional architecture diagrams, flowcharts, and more using natural language. It implements the Model Context Protocol (MCP), providing a standardized interface for AI tools like GitHub Copilot and Claude to interact with diagram generation workflows. The server offers over 50 pre-built templates, fast SVG rendering, and broad integration support across VS Code, CLI, and desktop applications.

3 1 MCP

36

Azure Resource Graph MCP Server

MCP server for querying Azure Resource Graph across subscriptions

Azure Resource Graph MCP Server enables users to perform Azure Resource Graph queries via the Model Context Protocol, offering seamless access to Azure resource information across multiple subscriptions. It supports both default and custom queries and integrates with development environments like Cursor IDE and Visual Studio Code. The server authenticates using Azure credentials and facilitates efficient retrieval of resource details such as resource ID, name, type, and location.

13 7 MCP

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Kubectl MCP Server

Natural language Kubernetes management for AI assistants using the Model Context Protocol.

Kubectl MCP Server enables AI assistants such as Claude and Cursor to interact with Kubernetes clusters using natural language through the Model Context Protocol (MCP). It supports a wide range of Kubernetes operations including resource management, Helm integration, monitoring, diagnostics, and advanced security features. The server is designed to handle context-aware commands, maintain session memory, and provide intelligent command construction and explanations. Integration with multiple AI assistants and flexible transport protocols are supported for a seamless user experience.

734 137 MCP

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Kestra Python MCP Server

Run Kestra orchestrations with Model Context Protocol support via Docker.

Kestra Python MCP Server enables integration of the Kestra workflow orchestration platform with environments that use the Model Context Protocol (MCP). It provides a Dockerized MCP server for managing workflows, executions, files, namespaces, and more, with support for both Open-Source (OSS) and Enterprise Edition (EE) setups. The server can be configured easily using environment variables and is compatible with tools like VS Code and Claude, making model-driven orchestration accessible and modular.

16 3 MCP

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OCI Registry MCP Server

Expose OCI registry data to LLM-powered applications via the Model Context Protocol.

Implements a Model Context Protocol (MCP) server that enables language model applications to query OCI registries. Provides tools for retrieving image information, listing repository tags, and accessing manifests and configs. Features secure authentication support and seamless integration with ToolHive for containerized deployment. Empowers AI-driven systems to interact programmatically with container registries.

11 3 MCP

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magg

Meta-MCP aggregator and manager for LLM capability extension.

Magg is a server that implements the Model Context Protocol (MCP), acting as a central aggregator and proxy for multiple MCP servers. It enables Large Language Models (LLMs) to dynamically discover, add, configure, and manage external tools at runtime. By aggregating tools from different MCP servers under unified namespaces, it streamlines capability management and introduces features such as configuration persistence, authentication, and real-time notifications. Magg offers both command-line and Docker deployment, with support for HTTP, stdio, and in-memory transport.

62 14 MCP

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mcp-access-point

Bridge HTTP services with Model Context Protocol (MCP) clients seamlessly.

MCP Access Point acts as a lightweight gateway that enables direct communication between MCP-compatible clients and traditional HTTP services without requiring server-side modifications. Built on the high-performance Pingora proxy library, it supports protocol conversion between HTTP, SSE, and MCP, supporting multi-tenancy and customizable routing. It empowers various MCP clients, such as Cursor Desktop, MCP Inspector, and VS Code, to interact with existing APIs efficiently. Configuration is flexible via YAML, and deployment is possible both locally and through Docker.

118 21 MCP

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McGravity

Unified load balancer and proxy for multiple MCP servers

McGravity acts as a scalable unified proxy and load balancer for multiple MCP (Model Context Protocol) servers. It allows clients to connect through a single endpoint to access and manage multiple MCP servers efficiently. The tool offers load balancing, configuration via YAML, CLI and Docker support, and plans to evolve with features such as health checks and a web interface. Designed for modern GenAI infrastructure, it simplifies connection, balancing, and scalability of MCP server deployments.

68 3 MCP

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Apple Health MCP Server

Connect Apple Health data with any LLM using the Model Context Protocol.

Apple Health MCP Server enables users to import, parse, and analyze Apple Health data exports, seamlessly connecting them to large language models (LLMs) that support the Model Context Protocol. Built on the high-performance FastMCP framework, it supports natural language querying, trend analysis, and integration with databases like Elasticsearch, ClickHouse, and DuckDB. The project offers modular tools for data exploration, structure analysis, and automated statistics generation. Designed for flexibility and scalability, it is container-ready and provides extensive configuration options.

64 9 MCP

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MKP

A Model Context Protocol server enabling LLM-powered applications to interact with Kubernetes clusters.

MKP is a Model Context Protocol (MCP) server designed for Kubernetes environments, allowing large language model (LLM) powered applications to list, retrieve, and apply Kubernetes resources through a standardized protocol interface. Built natively in Go, it utilizes Kubernetes API machinery to provide direct, type-safe, and reliable operations without dependencies on CLI tools. MKP offers a minimalist, pluggable design enabling universal resource support, including custom resource definitions, and includes built-in rate limiting for production readiness.

54 5 MCP

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k8s-mcp-server

Securely enable Claude to run Kubernetes CLI tools via Anthropic's Model Context Protocol.

K8s MCP Server provides a Docker-based implementation of Anthropic's Model Context Protocol (MCP), allowing Claude to securely execute Kubernetes CLI tools such as kubectl, helm, istioctl, and argocd within a containerized environment. It integrates with Claude Desktop so users can interact with their Kubernetes clusters using natural language. The server emphasizes security by operating as a non-root user and offering strict command validation, while also supporting major cloud providers like AWS, Google Cloud, and Azure. Easy configuration and support for various Unix tools further enhance its capabilities.

166 31 MCP

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PersonalizationMCP

A unified personal data hub enabling AI assistants with rich contextual personalization across platforms.

PersonalizationMCP is a unified personal data hub built on the Model Context Protocol (MCP) standard. It consolidates data from various digital platforms such as Steam, YouTube, Bilibili, Spotify, and Reddit, providing AI assistants with enriched contextual access to user activity and preferences. By integrating multiple OAuth2-powered services, it allows for personalized, context-aware interactions and automated context management features. The tool offers seamless token management, support for a wide range of user data, and is suitable for enhancing personalized AI experiences.

22 2 MCP

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MCP K8S Go

Golang-based MCP server that enables AI-driven interactions with Kubernetes clusters.

MCP K8S Go provides a server implementation of the Model Context Protocol for managing and interacting with Kubernetes clusters. It offers functionality to list, retrieve, create, and modify Kubernetes resources such as contexts, namespaces, pods, and nodes using standardized context-aware approaches. Designed for integration with AI assistants like Claude Desktop, it enables prompting and tool execution to manage cluster state, monitor events, fetch pod logs, and run in-pod commands. The solution supports deployment via various installation methods including Docker, Node.js, and Go binaries.

356 50 MCP

48

cert-manager-mcp-server

Manage and troubleshoot cert-manager resources with an MCP server interface.

cert-manager-mcp-server provides an MCP-compliant server for managing and troubleshooting certificates, issuers, and Kubernetes contexts related to cert-manager. It exposes tools to list, inspect, and renew certificates, manage issuers, and switch Kubernetes contexts. The server is designed for integration with Model Context Protocol environments such as Claude Desktop, enabling robust automation and monitoring workflows around cert-manager-managed resources.

15 1 MCP

49

mindsdb

Connect, unify, and query data at scale with an open-source AI platform.

MindsDB enables seamless connection to and unification of data from hundreds of enterprise sources, allowing for highly accurate responses across large-scale federated systems. It provides an open-source server with built-in support for the Model Context Protocol (MCP) to facilitate standardized interaction with AI-driven question answering over diverse data sets. The platform offers tools for preparing, organizing, and transforming both structured and unstructured data via knowledge bases, views, and scheduled jobs. Its agent framework and SQL interface empower users to configure data-centric agents, automate workflows, and interact with data conversationally.

35,487 5,735 MCP

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NebulaBlock API MCP Server

Expose NebulaBlock API as tools for MCP-compatible environments

NebulaBlock API MCP Server provides an implementation of the Model Context Protocol (MCP), enabling seamless integration of the NebulaBlock API as accessible tools. It leverages the fastmcp library and supports both command-line and environment variable API key configuration. Designed with MCP compatibility in mind, it offers a server interface for programmatic and tool-based interactions within any MCP-compliant system.

1 2 MCP

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