Framelink MCP for Figma alternatives

1

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

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

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

4

Mindpilot MCP

Visualize and understand code structures with on-demand diagrams for AI coding assistants.

Mindpilot MCP provides AI coding agents with the capability to visualize, analyze, and understand complex codebases through interactive diagrams. It operates as a Model Context Protocol (MCP) server, enabling seamless integration with multiple development environments such as VS Code, Cursor, Windsurf, Zed, and Claude Code. Mindpilot ensures local processing for privacy, supports multi-client connections, and offers robust configuration options for server operation and data management. Users can export diagrams and adjust analytics settings for improved user control.

61 8 MCP

5

MCP Linear

MCP server for AI-driven control of Linear project management.

MCP Linear is a Model Context Protocol (MCP) server implementation that enables AI assistants to interact with the Linear project management platform. It provides a bridge between AI systems and the Linear GraphQL API, allowing the retrieval and management of issues, projects, teams, and more. With MCP Linear, users can create, update, assign, and comment on Linear issues, as well as manage project and team structures directly through AI interfaces. The tool supports seamless integration via Smithery and can be configured for various AI clients like Cursor and Claude Desktop.

117 23 MCP

6

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

7

SpaceBridge-MCP

A Model Context Protocol server for seamless AI-assisted issue management via SpaceBridge.

SpaceBridge-MCP offers a Model Context Protocol (MCP) server that enables AI assistants and coding tools to interact directly with the SpaceBridge issue aggregation platform. It supports searching, creating, viewing, and updating issues across multiple trackers such as Jira and GitHub, using natural language requests. It also provides automated duplicate detection with LLM-based comparison to streamline issue creation workflows. The server acts as a bridge between AI-powered development environments and issue management systems, enhancing context sharing and productivity.

5 2 MCP

8

Context Apps MCP

AI-powered productivity suite unified by the Model Context Protocol.

Context Apps MCP is an AI-powered productivity suite that connects Todo, Idea, Journal, and Timer applications through the Model Context Protocol, enabling smart, context-driven workflows with apps like Claude Desktop and other MCP-compatible clients. It allows users to manage tasks, develop ideas, analyze journals, and optimize productivity using AI, all accessible and integrated via MCP-compliant endpoints. The suite ensures secure authentication via Apple ID OAuth, provides end-to-end encrypted communication, and offers users complete control over their data.

5 2 MCP

9

LLM Context

Reduce friction when providing context to LLMs with smart file selection and rule-based filtering.

LLM Context streamlines the process of sharing relevant project files and context with large language models. It employs smart file selection and customizable rule-based filtering to ensure only the most pertinent information is provided. The tool supports Model Context Protocol (MCP), allowing AI models to access additional files seamlessly through standardized commands. Integration with MCP enables instant project context sharing during AI conversations, enhancing productivity and collaboration.

283 26 MCP

10

MCP Fathom Analytics

Unofficial MCP server for AI-powered access to Fathom Analytics data.

MCP Fathom Analytics provides an unofficial Model Context Protocol (MCP) server that enables AI assistants to access and interact with Fathom Analytics data. It integrates with the Fathom Analytics API via the @mackenly/fathom-api SDK, offering tools to retrieve account details, manage sites, list events, generate analytics reports, and access real-time visitor data. Designed for use in AI model workflows, it allows secure and flexible analytics integration and supports configuration for clients such as Claude Desktop.

2 5 MCP

11

mcp-server-atlassian-jira

Seamlessly connect AI assistants to Jira for project and issue management via Model Context Protocol.

Enables AI assistants like Claude and Cursor to interact directly with Atlassian Jira projects, issues, and workflows using the Model Context Protocol (MCP). Provides standardized context and actions such as querying project status, searching issues, and managing comments through a command-line MCP server. Designed for integration with multiple AI tools, allowing natural language project interaction and instant workflow insights.

39 16 MCP

12

Binary Ninja MCP

Seamlessly integrate Binary Ninja with Model Context Protocol clients for enhanced reverse engineering.

Binary Ninja MCP enables real-time integration of Binary Ninja's reverse engineering environment with various Model Context Protocol (MCP) clients. It acts as a server exposing Binary Ninja's capabilities via HTTP endpoints and includes a bridge to connect to MCP clients. The extension supports auto-setup with popular clients such as Cline, Claude Desktop, Roo Code, and others, streamlining the use of AI-assisted workflows. This enhances tasks such as analyzing binaries, switching targets, and leveraging LLM-driven automation in reverse engineering.

112 35 MCP

13

codemirror-mcp

CodeMirror extension for Model Context Protocol resource mentions and prompt commands

codemirror-mcp provides a CodeMirror extension that implements the Model Context Protocol (MCP) to enable resource mention handling and prompt command integration within code editors. It offers autocomplete, visual decorations, and interaction support for '@resource' mentions, as well as command triggers using the '/prompt' syntax. The extension integrates with model context servers using a defined transport and enhances the editor experience with resource click handling and customizable theming.

78 3 MCP

14

Enrichr MCP Server

Gene set enrichment analysis server for LLMs via the Model Context Protocol

Enrichr MCP Server provides gene set enrichment analysis using the Enrichr API, supporting all available gene set libraries. It is designed to integrate with LLM tools through the Model Context Protocol and returns only statistically significant results. The tool allows queries across multiple biological, disease, tissue, drug, and pathway gene set libraries, with customizable configuration for popular or specific libraries. Installation and integration is streamlined for platforms like Claude Desktop, Cursor, and VS Code.

7 3 MCP

15

MCP Unity Editor

A Model Context Protocol implementation for Unity game development.

MCP Unity Editor implements the Model Context Protocol within the Unity Editor environment, enabling standardized management of model context. It provides tools and infrastructure for developers to build and integrate AI and model-driven workflows in Unity projects. Built with support for Unity and Node.js, it aims to facilitate robust context handling and protocol compliance for model interactions.

1,075 131 MCP

16

Fantasy Premier League MCP Server

Enables rich access to Fantasy Premier League data via the Model Context Protocol.

Fantasy Premier League MCP Server is a Model Context Protocol (MCP) server that provides streamlined access to Fantasy Premier League (FPL) data, including player statistics, team information, and gameweek details. It allows users to interact with and compare FPL player data, search teams and players, and integrate seamlessly with Claude Desktop and other MCP-compatible clients. Designed for both quick CLI usage and deep AI integration, it ensures comprehensive coverage for FPL enthusiasts and AI-powered desktop tools.

65 19 MCP

17

21st.dev Magic AI Agent

Instantly create and enhance UI components through natural language in your IDE.

21st.dev Magic AI Agent enables developers to generate, preview, and integrate modern UI components using natural language commands directly within popular IDEs. It leverages the Model Context Protocol for seamless interoperability, supporting automated installation and configuration across tools like VSCode, Cursor, Windsurf, and Cline. With a vast library based on 21st.dev assets and advanced features such as TypeScript support and real-time previews, it streamlines the UI development workflow. The solution also supports customization, enhancements, and integration of brand assets through SVGL.

3,919 260 MCP

18

APISIX Model Context Protocol Server

Bridge LLMs with APISIX for natural language API management.

APISIX Model Context Protocol (MCP) Server enables large language models to interact with and manage APISIX resources via natural language commands. It provides a standardized protocol for connecting AI clients like Claude, Cursor, and Copilot to the APISIX Admin API. The server supports a range of operations including CRUD for routes, services, upstreams, plugins, security configurations, and more. Installation is streamlined via Smithery, npm, or direct source setup with customizable environment variables.

29 9 MCP

19

MCP GitLab Jira Server

MCP server for seamless GitLab and Jira integration

MCP GitLab Jira Server acts as a bridge, enabling AI agents to interact programmatically with GitLab and Jira instances via the Model Context Protocol. It provides a standardized server interface for operations on projects, merge requests, pipelines, branches, issues, releases, and users in GitLab, as well as tickets and project management features in Jira. The server can be run as a CLI tool or in a Docker container, making it compatible with tools like gemini-cli. Configuration via environment variables allows secure authentication and flexible deployment.

6 4 MCP

20

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

21

Alkemi MCP Server

Integrate Alkemi Data sources with MCP Clients for seamless, standardized data querying.

Alkemi MCP Server provides a STDIO wrapper for connecting Alkemi data sources—including Snowflake, Google BigQuery, and Databricks—with MCP Clients using the Model Context Protocol. It facilitates context sharing, database metadata management, and query generation through a standardized protocol endpoint. Shared MCP Servers allow teams to maintain consistent, high-quality data querying capabilities without needing to replicate schemas or query knowledge for each agent. Out-of-the-box integration with Claude Desktop and robust debugging tools are also included.

2 1 MCP

22

Qlik MCP Server

Connect Claude AI to Qlik Cloud applications and extract insights via the Model Context Protocol.

Qlik MCP Server enables integration between Claude AI and Qlik Cloud applications through the Model Context Protocol (MCP). It exposes API tools for listing Qlik apps, retrieving sheets and charts, and extracting chart data programmatically. The server supports deployment via Docker, Deno, or Node.js, and can be configured for use with tools like Claude Desktop and Cursor. The setup emphasizes secure handling of Qlik Cloud credentials and flexible environment configuration.

7 5 MCP

23

Vercel AI SDK Documentation MCP Agent

AI-powered documentation agent for Vercel AI SDK with Model Context Protocol support.

The Vercel AI SDK Documentation MCP Agent is a server implementing the Model Context Protocol to enable AI-powered search and conversational querying of the Vercel AI SDK documentation. It features natural language understanding, semantic search using FAISS, and session-based context management for in-depth assistance. Integration with popular MCP clients like Claude Desktop and Cursor ensures seamless use in developer workflows. Automated documentation indexing and a Gemini-powered agent enhance accuracy and contextuality of responses.

41 8 MCP

24

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

25

Filestash

A modular, extensible file manager with robust API and LLM Model Context Protocol (MCP) integration.

Filestash is a versatile file manager that supports a wide range of backends including FTP, SFTP, WebDAV, S3, SMB, and popular cloud storage services such as Dropbox and Google Drive. It features a plugin-driven architecture and workflow engine for customization and automation and offers built-in viewers for images, music, and video. Filestash provides an API interface and explicit LLM integration via Model Context Protocol (MCP), enabling advanced file management automation and AI-driven workflows.

13,013 930 MCP

26

mcp-server-atlassian-confluence

Seamlessly connect AI assistants to your Atlassian Confluence knowledge base.

Enables integration of AI assistants like Claude and Cursor AI directly with Atlassian Confluence, allowing users to interact with their documentation and knowledge base using natural language queries. Supports instant answers, search across all spaces, and access to specific Confluence content and discussions. Follows the Model Context Protocol (MCP) for standardized model context management and easy configuration with various AI assistants via STDIO transport or config files.

39 20 MCP

27

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

28

Grafana MCP Server

Provide standardized MCP access to Grafana dashboards, datasources, and observability data.

Grafana MCP Server implements the Model Context Protocol (MCP) to interface with Grafana and its ecosystem. It enables querying, modifying, and summarizing dashboards, managing datasources, and running queries against Prometheus and Loki, all with explicit context window management. Additional features include incident management and Sift investigation retrieval.

1,850 186 MCP

29

Postmancer

A standalone MCP server for API testing and management via AI assistants.

Postmancer is a Model Context Protocol (MCP) server designed to facilitate API testing and management through natural language interactions with AI assistants. It enables HTTP requests, organizes API endpoints into collections, and provides tools for managing environment variables, authentication, and request history. Postmancer is particularly aimed at integrating with AI platforms like Claude for seamless, automated API workflows.

28 4 MCP

30

Markmap MCP Server

Convert Markdown to interactive mind maps via the Model Context Protocol.

Markmap MCP Server enables seamless conversion of Markdown content into interactive mind maps using the Model Context Protocol (MCP). It leverages the open-source markmap project and provides users with diverse export formats including PNG, JPG, and SVG. Designed for easy integration with MCP clients, it offers tools for automated browser previews, rich interactivity, and batch mind map generation. The server can be installed easily via npm or Smithery and supports configurable output directories.

137 22 MCP

31

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

32

MarkItDown

Convert diverse files into Markdown for seamless LLM integration.

MarkItDown is a lightweight Python utility for converting a wide range of file types—including PDF, Office documents, images, audio, websites, and more—into structured Markdown optimized for language models and text analysis tools. It includes an implementation of the Model Context Protocol (MCP) to facilitate integration with LLM applications, such as Claude Desktop. MarkItDown supports context-aware document conversions, prioritizing preservation of hierarchy and meaningful content, and can be used via CLI or as a library.

82,918 4,694 MCP

33

mcp-server-atlassian-bitbucket

Seamlessly connect AI assistants to your Bitbucket repositories for smart code insights and workflow automation.

mcp-server-atlassian-bitbucket enables direct integration of AI assistants such as Claude and Cursor AI with Bitbucket repositories, pull requests, and code. It provides instant code insights, automates code reviews, and supports a variety of repository management actions via natural language commands. The tool utilizes Model Context Protocol (MCP) to standardize AI interaction with repository context data. It offers support for Bitbucket's new Scoped API Tokens and legacy app passwords for authentication.

84 39 MCP

34

AI Distiller (aid)

Efficient codebase summarization and context extraction for AI code generation.

AI Distiller enables efficient distillation of large codebases by extracting essential context, such as public interfaces and data types, discarding method implementations and non-public details by default. It helps AI agents like Claude, Cursor, and other MCP-compatible tools understand project architecture more accurately, reducing hallucinations and code errors. With configurable CLI options, it generates condensed contexts that fit within AI model limitations, improving code generation accuracy and integration with the Model Context Protocol.

106 12 MCP

35

QA Sphere MCP Server

Model Context Protocol server enabling LLMs to interact with QA Sphere test cases

QA Sphere MCP Server provides a Model Context Protocol (MCP) integration for QA Sphere, allowing Large Language Models to interact with, discover, and summarize test cases within the QA Sphere test management system. It enables AI-powered IDEs and MCP clients to reference and manipulate QA Sphere test case data within development workflows. The solution supports quick integration into clients like Claude, Cursor, and 5ire, facilitating seamless collaboration and context sharing for AI-assisted development.

15 6 MCP

36

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

37

EditorConfig MCP Server

An MCP-compliant server that formats files using .editorconfig rules.

EditorConfig MCP Server provides a Model Context Protocol (MCP) compliant server that automatically formats project files according to .editorconfig rules. Designed to work with AI coding agents, it proactively enforces consistent code formatting and prevents common style errors before files are processed further. The server features robust API endpoints, semantic versioned routes, rate limiting, OpenAPI documentation, and JSON schema-based validation, supporting seamless integration into automated development workflows.

2 2 MCP

38

MCP Backup Server

Instant backup and restore solution for AI agents and code editors with context preservation.

MCP Backup Server is a specialized server that enables instant and contextual backups for AI agents and code editing tools. It preserves agent context and reasoning, providing targeted and minimal backups without the complexity of traditional version control systems. The tool is designed for situations requiring quick, context-aware safety backups, supporting both file and folder operations and restore functions. It integrates with editors like Cursor and Windsurf using the Model Context Protocol.

12 5 MCP

39

FileScopeMCP

Instantly understand and visualize your codebase structure & dependencies.

FileScopeMCP is a TypeScript-based server that implements the Model Context Protocol to analyze codebases, rank file importance, and track dependencies. It provides AI tools with comprehensive insights into file relationships, importance scores, and custom file summaries. The system supports visualization through Mermaid diagrams, persistent storage, and multi-language analysis for easier code comprehension. Seamless integration with Cursor ensures structured model context delivery for enhanced AI-driven code assistance.

256 26 MCP

40

User Feedback MCP

Enable seamless human-in-the-loop feedback for model-driven workflows.

User Feedback MCP is a simple Model Context Protocol (MCP) server designed to facilitate human-in-the-loop workflows within tools such as Cline and Cursor. It allows applications, especially desktop software undergoing development, to request and incorporate user feedback before finalizing AI-assisted tasks. The system integrates with existing development pipelines and provides customizable configuration through a .user-feedback.json file and a web-based interface for easy interaction.

50 9 MCP

41

Pix MCP Server

Generate static Pix QR codes via natural language through Model Context Protocol.

Pix MCP Server enables AI agents and tools to generate static Pix QR codes for payments using Model Context Protocol (MCP). It offers a secure, lightweight, and type-safe server that supports both stdio (MCP) and HTTP interfaces, requiring no external API dependencies. The implementation follows BACEN EMV 4.0 standards for Pix payments and is compatible with tools such as Claude Desktop, Cursor, and Windsurf. Configuration is straightforward, making it suitable for quick integration into MCP-supporting environments.

2 3 MCP

42

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

43

Funding Rates MCP

Real-time crypto funding rate comparison via Model Context Protocol

Provides a Model Context Protocol (MCP) server delivering real-time funding rate data across major cryptocurrency exchanges. Enables agents and applications to query and compare funding rates, identify arbitrage opportunities, and output pivoted tables with calculated divergences. Integrates seamlessly with Claude Desktop for interactive AI-driven analysis.

6 7 MCP

44

AFL MCP Server

MCP-compatible server for comprehensive AFL data and analytics

AFL MCP Server is a Model Context Protocol-compatible backend that serves detailed Australian Football League data via the Squiggle API. It offers standardized access to live scores, historical match results, team information, rankings, tips, projections, and advanced analytics. Designed for integration with MCP clients such as Claude for Desktop, it exposes a suite of tools for retrieving game, standings, and team data. The server streamlines AFL data retrieval through automated protocols, facilitating robust AI-powered workflows.

14 3 MCP

45

GIF Creator MCP

Convert videos to high-quality GIF animations via MCP.

GIF Creator MCP is a Model Context Protocol (MCP) server designed to convert video files into GIF animations. It allows users to customize output settings, such as frames per second, dimensions, and duration, and can extract specific portions of videos. The tool supports high-quality GIF generation and integrates with clients like Goose for easy extension. Video processing leverages FFmpeg and outputs GIFs with optimized palettes.

11 5 MCP

46

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

47

Flipt MCP Server

MCP server for Flipt, enabling AI assistants to manage and evaluate feature flags.

Flipt MCP Server is an implementation of the Model Context Protocol (MCP) that provides AI assistants with the ability to interact with Flipt feature flags. It enables listing, creating, updating, and deleting various flag-related entities, as well as flag evaluation and management. The server supports multiple transports, is configurable via environment variables, and can be deployed via npm or Docker. Designed for seamless integration with MCP-compatible AI clients.

2 7 MCP

48

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

49

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

50

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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