EdgeOne Pages MCP alternatives

1

Defang

Develop Once, Deploy Anywhere.

Defang provides a command-line interface (CLI) and Model Context Protocol (MCP) Server that enable seamless deployment of applications from local development environments to the cloud. It supports integration with popular IDEs such as VS Code, Cursor, Windsurf, and Claude, allowing users to manage and deploy their workflows efficiently. Defang delivers secure, scalable deployments with built-in support for Docker Compose and Pulumi, and offers samples for Golang, Python, and Node.js projects. Its AI-powered features enable developers to generate and launch cloud services effortlessly.

144 20 MCP

2

Webvizio MCP Server

Bridge between Webvizio feedback and AI coding agents via the Model Context Protocol

Webvizio MCP Server is a TypeScript-based server implementing the Model Context Protocol to securely and efficiently interface with the Webvizio API. It transforms web page feedback and bug reports into structured, actionable developer tasks, providing AI coding agents with comprehensive task context and data. It offers methods to fetch project and task details, retrieve logs and screenshots, and manage task statuses. The server standardizes communication between Webvizio and AI agent clients, facilitating automated issue resolution.

4 4 MCP

3

Markdownify MCP Server

Convert diverse files and web content into Markdown via the Model Context Protocol.

Markdownify MCP Server offers a protocol-based server that transforms various file types—including PDF, images, audio, DOCX, XLSX, and PPTX—as well as web content like YouTube videos, Bing search results, and web pages into Markdown format. The server exposes a suite of conversion tools through a standardized interface for easy integration with applications. Optional configuration allows retrieval of Markdown files from restricted directories, and the platform supports development customization for additional tool integration. Deployment and operation are straightforward with cross-platform support (with pending Windows improvements).

2,256 188 MCP

4

mcp-pandoc

Seamless document format conversion via the Model Context Protocol.

mcp-pandoc is a Model Context Protocol (MCP) server for document format conversion powered by Pandoc. It enables bidirectional transformation of content between various document formats while preserving structure and formatting. Designed for integration in AI workflows, it allows standardized and programmatic conversion suitable for large language models and tool-augmented assistants. The project exposes conversion functionality both by direct content submission and via input files.

445 57 MCP

5

GrowthBook MCP Server

Interact with GrowthBook from your LLM client via MCP.

GrowthBook MCP Server enables seamless integration between GrowthBook and LLM clients by implementing the Model Context Protocol. It allows users to view experiment details, add feature flags, and manage GrowthBook configurations directly from AI applications. The server is configurable via environment variables and leverages GrowthBook's API for functionality. This integration streamlines experimentation and feature management workflows in AI tools.

15 12 MCP

6

box-mcp-server

Expose your Box files to AI with a Model Context Protocol server.

box-mcp-server lets users connect their Box accounts to AI applications via the Model Context Protocol (MCP). It securely authenticates to Box with enterprise credentials or developer tokens and serves file search and reading capabilities to downstream clients. Designed for use with Claude Desktop and the MCP Inspector, it provides seamless integration of Box documents into AI workflows.

10 11 MCP

7

MCP Swagger Server (mss)

Seamlessly convert OpenAPI/Swagger specs into Model Context Protocol tools for AI integration.

MCP Swagger Server converts OpenAPI/Swagger API specifications into Model Context Protocol (MCP) compatible tools, enabling REST APIs to become directly callable by AI systems. It supports zero-configuration conversion, multiple transport protocols (SSE, Streamable, Stdio), and secure API access through Bearer Token authentication. The tool offers an interactive command-line interface and configuration options to filter operations, customize transports, and manage API security. Its modular structure includes OpenAPI parsing, web UI, and backend services.

38 8 MCP

8

Awesome Ionic MCP server

A comprehensive coding companion for Ionic Framework and Capacitor, powered by Model Context Protocol.

Awesome Ionic MCP server delivers real-time access to Ionic Framework components, Capacitor plugins, and developer resources using the Model Context Protocol (MCP). It provides standardized tools for retrieving TypeScript definitions, API documentation, code examples, and plugin information, streamlining the mobile app development process across React, Angular, Vue, and JavaScript projects. The server aggregates and curates data from official sources including ionicframework.com, capacitorjs.com, and community repositories, offering seamless integration with MCP-compatible AI development platforms.

23 3 MCP

9

HOCR MCP Agent

MCP-compatible OCR server with Vue frontend for document processing.

HOCR MCP Agent provides a server that adheres to the Model Context Protocol and includes a Vue-based frontend for interacting with OCR and model context functionalities. It enables the handling, processing, and serving of HOCR (HTML-based OCR) data through a standardized backend. The server leverages FastAPI and uvicorn for deployment, while the frontend supports user interaction and visualization of results.

2 2 MCP

10

Bifrost

VSCode Dev Tools exposed via the Model Context Protocol for AI tool integration.

Bifrost is a Visual Studio Code extension that launches a Model Context Protocol (MCP) server, enabling external AI coding assistants to access advanced code navigation, analysis, and manipulation features from VSCode. It exposes language server capabilities, symbol search, semantic code analysis, and refactoring tools through MCP-compatible HTTP and SSE endpoints. The extension is designed for seamless integration with AI assistants, supporting multi-project environments and configuration via JSON files.

184 33 MCP

11

esp-mcp

Unified ESP-IDF command interface for LLMs and chatbots

esp-mcp provides a Model Context Protocol (MCP) compliant server to consolidate and simplify ESP-IDF and related project command execution. It enables large language models and chatbots to perform ESP-IDF project builds, flash firmware, and manage ESP devices through standardized protocol interactions. The project is proof-of-concept with support for basic build and flash commands and aims to expand towards comprehensive embedded device management via LLM interfaces.

114 11 MCP

12

MCP-Typescribe

An MCP server for serving TypeScript API context to language models.

MCP-Typescribe is an open-source implementation of the Model Context Protocol (MCP) focused on providing LLMs with contextual, real-time access to TypeScript API documentation. It parses TypeScript (and other) definitions using TypeDoc-generated JSON and serves this information via a queryable server that supports tools used by AI coding assistants. The solution enables AI agents to dynamically explore, search, and understand unknown APIs, accelerating onboarding and supporting agentic behaviors in code generation.

45 6 MCP

13

DoorDash MCP Server

Integrate DoorDash API with MCP-compatible AI clients.

DoorDash MCP Server enables seamless integration between the DoorDash API and Model Context Protocol (MCP) compatible clients such as Claude Desktop, Windsurf, and Cursor. It provides an easy setup process to compile and build the server using TypeScript and Node.js, offering users a JSON configuration to connect with MCP clients. The server supports API key configuration for secure access. Direct support and feedback channels are available for users requiring assistance.

14 4 MCP

14

Jupyter MCP Server

Real-time, context-aware MCP server for managing and interacting with Jupyter Notebooks.

Jupyter MCP Server is an implementation of the Model Context Protocol (MCP) designed to enable AI-driven, real-time management and interaction with Jupyter Notebooks. It offers context-aware capabilities, smart execution features, and multimodal output handling, seamlessly integrating with JupyterLab and supporting multiple notebooks simultaneously. The server is compatible with any MCP client and can work with local or hosted Jupyter deployments.

765 127 MCP

15

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

16

deploy-mcp

Universal Deployment Tracker for AI Assistants

deploy-mcp offers a universal tool for tracking and monitoring deployments across various platforms within AI conversation environments. It eliminates the need for dashboard navigation by integrating deployment status and management directly into AI assistants via a standardized protocol. The tool supports multiple platforms such as Vercel, Netlify, and Cloudflare Pages, allowing for real-time monitoring and multi-platform configuration using secure tokens. Its streamlined setup enables users to check deployment status, view logs, and monitor progress through conversational commands.

3 2 MCP

17

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

18

Open Feishu MCP Server

A Cloudflare-based remote MCP server with integrated Feishu OAuth authentication.

Open Feishu MCP Server provides a fully functional remote Model Context Protocol (MCP) server with integrated Feishu OAuth support. It enables zero-configuration user authentication and context management via Feishu accounts and is optimized for usability and tool set performance. Designed for deployment on Cloudflare Workers, it offers scalable, secure connectivity with multiple clients and supports seamless integration with various tools and platforms.

66 9 MCP

19

PostHog MCP

Easily deploy and manage Model Context Protocol servers across multiple platforms.

PostHog MCP provides a server implementation for the Model Context Protocol, now maintained within the PostHog monorepo. It enables quick deployment for enhanced model context management across editors like Cursor, Claude, Claude Code, VS Code, and Zed. Users can install the MCP server with a single command, streamlining integration for large language model workflows. Documentation and further details are provided through official PostHog resources.

138 23 MCP

20

Flowcore Platform MCP Server

A standardized MCP server for managing and interacting with Flowcore Platform resources.

Flowcore Platform MCP Server provides an implementation of the Model Context Protocol (MCP) for seamless interaction and management of Flowcore resources. It enables AI assistants to query and control the Flowcore Platform using a structured API, allowing for enhanced context handling and data access. The server supports easy deployment with npx, npm, or Bun and requires user authentication using Flowcore credentials.

9 5 MCP

21

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

22

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

23

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

24

Pica MCP Server

A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.

Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.

8 5 MCP

25

Sequa MCP

Bridge Sequa's advanced context engine to any MCP-capable AI client.

Sequa MCP acts as a seamless integration layer, connecting Sequa’s knowledge engine with various AI coding assistants and IDEs via the Model Context Protocol (MCP). It enables tools to leverage Sequa’s contextual knowledge streams, enhancing code understanding and task execution across multiple repositories. The solution provides a simple proxy command to interface with standardized MCP transports, supporting configuration in popular environments such as Cursor, Claude, VSCode, and others. Its core purpose is to deliver deep, project-specific context to LLM agents through a unified and streamable endpoint.

16 3 MCP

26

GitMCP

Instantly turn any GitHub repository into an AI-ready documentation hub.

GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that gives AI assistants real-time access to the latest documentation and code from any GitHub repository. It transforms any GitHub project into an accessible documentation hub, enabling AI tools to deliver accurate results, reduce hallucinations, and improve code correctness. Supporting both specific and generic server modes, it allows seamless integration into developer workflows with zero setup. GitMCP emphasizes privacy, flexibility, and up-to-date information retrieval.

6,916 571 MCP

27

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

28

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

29

Gin-MCP

Zero-Config Bridge Between Gin APIs and Model Context Protocol (MCP)

Gin-MCP enables seamless integration of existing Gin-based APIs with Model Context Protocol, allowing endpoints to be automatically exposed as MCP-compatible tools. It offers zero-configuration setup and intelligent discovery of Gin routes, inferring schemas for instant usability with MCP clients like Cursor, Claude Desktop, Continue, and Zed. Developers can easily mount an MCP server onto any Gin application, benefiting from selective exposure and customizable schema registration. The library is designed for maximum productivity with minimal setup or code changes.

62 13 MCP

30

Globalping MCP Server

Enable AI models to run network tests globally via natural language.

Globalping MCP Server implements the Model Context Protocol, enabling AI models to interface with a global network measurement platform through natural language. It allows AI clients to perform network diagnostic tests such as ping, traceroute, DNS, MTR, and HTTP from thousands of locations worldwide. The server offers AI-friendly context handling, detailed parameter descriptions, comparative analysis of network performance, and supports secure authentication using OAuth or API tokens.

33 3 MCP

31

Opik MCP Server

A unified Model Context Protocol server for Opik with multi-transport IDE integration.

Opik MCP Server is an open-source implementation of the Model Context Protocol (MCP) designed for the Opik platform. It enables seamless integration with compatible IDEs and provides a unified interface to manage Opik's features such as prompts, projects, traces, and metrics. Supporting multiple transport mechanisms like stdio and experimental SSE, it simplifies workflow integration and platform management for LLM applications. The tool aims to streamline development and monitoring by offering standardized access and control over Opik's capabilities.

182 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

33

Higress

AI Native API Gateway with Built-in Model Context Protocol (MCP) Support

Higress is a cloud-native API gateway built on Istio and Envoy, extensible with Wasm plugins in Go, Rust, or JS. It enables unified management and hosting of both LLM APIs and MCP Servers, allowing AI agents to easily call tools and services via standard protocols. The platform supports seamless conversion of OpenAPI specs to remote MCP servers and provides robust AI gateway features for enterprise and mainstream model providers. Higress is widely adopted in production environments, notably within Alibaba Cloud's core AI applications.

6,814 878 MCP

34

Supabase MCP Server

Connect Supabase projects to AI assistants using the Model Context Protocol.

Supabase MCP Server enables direct, secure integration between Supabase projects and AI assistants such as Cursor, Claude, and Windsurf. Leveraging the Model Context Protocol, it provides standardized endpoints for external LLMs to perform tasks like managing tables, fetching configurations, and querying data on Supabase. The server supports OAuth 2.1 Dynamic Client Registration and offers easy setup with feature groups and popular client installers for local, cloud, and self-hosted environments.

2,263 253 MCP

35

MCP Link

Convert Any OpenAPI V3 API to an MCP Server for seamless AI Agent integration.

MCP Link enables automatic conversion of any OpenAPI v3-compliant RESTful API into a Model Context Protocol (MCP) server, allowing instant compatibility with AI-driven agent frameworks. It eliminates the need for manual interface creation and code modification by translating OpenAPI schemas into MCP endpoints. MCP Link supports robust feature mapping and authentication, making it easy to expose existing APIs to AI ecosystems using a standardized protocol. The tool is designed for both developers and organizations seeking to streamline API integration with AI agents.

572 68 MCP

36

CircleCI MCP Server

Enable LLM-driven automation for CircleCI with the Model Context Protocol.

CircleCI MCP Server is an implementation of the Model Context Protocol (MCP) designed to bridge CircleCI with large language models and AI assistants. It supports integration with tools like Cursor IDE, Windsurf, Copilot, and VS Code, allowing users to interact with CircleCI using natural language. The server can be deployed locally via NPX or Docker and remotely, making CircleCI workflows accessible and manageable through standardized protocol operations.

69 38 MCP

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Aiven MCP Server

Model Context Protocol server enabling LLMs to access and manage Aiven cloud data services.

Aiven MCP Server implements the Model Context Protocol (MCP) to provide secure access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch services. It enables Large Language Models (LLMs) to seamlessly integrate and interact with these cloud data platforms, supporting full stack solution development. The server offers streamlined tools for project and service management via standardized APIs and supports integration with platforms like Claude Desktop and Cursor. Environment variable configuration and explicit permission controls are used to ensure secure and flexible operations.

11 11 MCP

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Neo4j MCP Clients & Servers

Seamless natural language and knowledge graph integration for Neo4j via Model Context Protocol.

Neo4j MCP Clients & Servers provide standardized interfaces that enable large language models and AI assistants to interact with Neo4j databases and cloud services using natural language through the Model Context Protocol (MCP). It includes multiple servers for translating natural language to Cypher queries, managing graph memory, handling Neo4j Aura cloud services, and supporting interactive data modeling. Multiple transport modes such as STDIO, HTTP, and SSE offer flexibility for various deployments including cloud and local environments.

797 209 MCP

39

Outsource MCP

Unified MCP server for multi-provider AI text and image generation

Outsource MCP is a Model Context Protocol server that bridges AI applications with multiple model providers via a single unified interface. It enables AI tools and clients to access over 20 major providers for both text and image generation, streamlining model selection and API integration. Built on FastMCP and Agno agent frameworks, it supports flexible configuration and is compatible with MCP-enabled AI tools. Authentication is provider-specific, and all interactions use a simple standardized API format.

26 5 MCP

40

Firefly MCP Server

Seamless resource discovery and codification for Cloud and SaaS with Model Context Protocol integration.

Firefly MCP Server is a TypeScript-based server implementing the Model Context Protocol to enable integration with the Firefly platform for discovering and managing resources across Cloud and SaaS accounts. It supports secure authentication, resource codification into infrastructure as code, and easy integration with tools such as Claude and Cursor. The server can be configured via environment variables or command line and communicates using standardized MCP interfaces. Its features facilitate automation and codification workflows for cloud resource management.

15 6 MCP

41

Octocode MCP

Enterprise-grade AI context server for codebase research and analysis.

Octocode MCP is a Model Context Protocol (MCP) server designed to enable AI assistants to search, analyze, and extract insights from millions of GitHub repositories with high security and token efficiency. It offers intelligent orchestration for deep code research, planning, and agentic workflows, streamlining the process of building and understanding complex software projects. The platform features robust tools and commands, such as /research for expert code research, designed to support developers and AI systems with context-rich information.

577 45 MCP

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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

43

Insforge MCP Server

A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.

Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.

3 2 MCP

44

Infobip MCP Servers

Build AI agents that connect to Infobip services via the Model Context Protocol.

Infobip MCP Servers enable AI agents to interact with the Infobip platform using the Model Context Protocol (MCP), supporting communication across various channels like SMS, WhatsApp, Viber, and RCS. The project provides production-grade, remote MCP servers with streamable HTTP and SSE transport options, facilitating messaging, 2FA, customer data management, and user account control. Standardized endpoints and authentication options, including API keys and OAuth 2.1, ensure secure and scalable integration. Usage examples and configuration guides are included for popular agent frameworks.

20 2 MCP

45

mcp-v8

Expose a secure V8 JavaScript runtime to AI agents via the Model Context Protocol

mcp-v8 is a Rust-based server that implements the Model Context Protocol, providing a secure and isolated V8 JavaScript runtime for AI agents like Claude and Cursor. It supports persistent heap snapshots using S3 or a local filesystem and offers both stateless and stateful execution modes. The server is easily configurable, supporting multiple transports such as stdio, HTTP, and Server-Sent Events for flexible integration. Designed for modern AI development environments, it enables seamless context handling and interoperability for agent tools.

23 4 MCP

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MCP ECharts

Dynamically generate Apache ECharts visualizations via Model Context Protocol (MCP).

MCP ECharts enables dynamic generation of Apache ECharts visualizations through the Model Context Protocol, supporting interactions with AI models. It provides multiple transport options (stdio, SSE, streamable) and integrates with platforms like Claude, VSCode, and Smithery. The tool allows exporting charts in PNG, SVG, and option formats, with optional MinIO storage for enhanced sharing and performance. Featuring zero dependencies and local secure rendering, it is easily deployable and versatile for a range of visualization workflows.

153 29 MCP

47

memvid-mcp-server

A Streamable HTTP MCP Server for encoding and semantically searching video-based memory.

memvid-mcp-server provides a Model Context Protocol (MCP) compatible HTTP server that leverages memvid to encode text data into videos. It supports adding text chunks as video and performing semantic search over them using standardized MCP actions such as add_chunks and search. The server can be integrated with MCP clients via streamable HTTP and enables fast context retrieval for AI applications.

8 3 MCP

48

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

49

dbt MCP Server

Bridge dbt projects and AI agents with rich project context.

dbt MCP Server provides an implementation of the Model Context Protocol for dbt projects, enabling seamless integration between dbt and AI agents. It allows agents to access and understand the context of dbt Core, dbt Fusion, and dbt Platform projects. The tool supports connection to external AI products and offers resources for building custom agents. Documentation and examples are provided to facilitate adoption and integration.

420 90 MCP

50

Neon MCP Server

Natural language access to Neon Postgres databases via the Model Context Protocol.

Neon MCP Server provides a bridge between natural language requests and Neon Postgres databases through the Model Context Protocol (MCP). It enables users to manage database operations such as creating projects, running queries, and handling migrations by translating conversational commands into API calls. Designed for both local and remote setups, it enhances database accessibility for users with varying technical backgrounds. It prioritizes security, recommending use in local development and IDE integrations.

513 88 MCP

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