dev.augments/mcp alternatives

1

Context7 MCP

Up-to-date code docs for every AI prompt.

Context7 MCP delivers current, version-specific documentation and code examples directly into large language model prompts. By integrating with model workflows, it ensures responses are accurate and based on the latest source material, reducing outdated and hallucinated code. Users can fetch relevant API documentation and examples by simply adding a directive to their prompts. This allows for more reliable, context-rich answers tailored to real-world programming scenarios.

36,881 1,825 MCP

2

Lucidity MCP

Intelligent prompt-based code quality analysis for AI coding assistants.

Lucidity MCP is a Model Context Protocol (MCP) server that empowers AI coding assistants to deliver high-quality code through intelligent, prompt-driven analysis. It offers comprehensive detection of code issues across multiple quality dimensions, providing structured and actionable feedback. With language-agnostic capabilities, extensible framework, and flexible transport options, Lucidity MCP seamlessly integrates into developer workflows and AI systems.

72 20 MCP

3

MCP Domain Availability Checker

Seamless domain availability checking across 50+ TLDs for Claude Desktop via MCP integration.

MCP Domain Availability Checker provides robust domain name availability searching across more than 50 popular TLDs, leveraging both DNS and WHOIS for accurate verification. It offers natural language queries, smart TLD suggestions, and bulk checking capabilities, optimized for integration with Claude Desktop through the Model Context Protocol. The tool enables real-time status updates, fast parallel processing, and organizes results by TLD categories to streamline domain discovery workflows.

22 6 MCP

4

NyxDocs

MCP server for real-time cryptocurrency project documentation and insights.

NyxDocs is a Model Context Protocol (MCP) compatible server built in Python for managing and serving up-to-date documentation for cryptocurrency projects. It aggregates information from multiple sources such as CoinGecko, GitHub, GitBook, Notion, and official websites, providing real-time data and updates on blockchain ecosystems. Featuring tools for searching projects, retrieving detailed info, extracting documentation, and monitoring changes, it is tailored for developers and AI contexts needing access to accurate crypto documentation. The architecture leverages a FastMCP-based server core, automated document scrapers, and supports multi-blockchain environments.

3 3 MCP

5

MCP Claude Code

Claude Code-like functionality via the Model Context Protocol.

Implements a server utilizing the Model Context Protocol to enable Claude Code functionality, allowing AI agents to perform advanced codebase analysis, modification, and command execution. Supports code understanding, file management, and integration with various LLM providers. Offers specialized tools for searching, editing, and delegating tasks, with robust support for Jupyter notebooks. Designed for seamless collaboration with MCP clients including Claude Desktop.

281 33 MCP

6

Biel.ai MCP Server

Seamlessly connect IDEs to your company’s product documentation using an MCP server.

Biel.ai MCP Server enables AI tools such as Cursor, VS Code, and Claude Desktop to access and utilize a company’s product documentation and knowledge base through the Model Context Protocol. It provides a hosted RAG layer that makes documentation searchable and usable, supporting real-time, context-rich completion and answers for developers. The server can be used as a hosted solution or self-hosted locally or via Docker for advanced customization.

2 2 MCP

7

RAG Documentation MCP Server

Vector-based documentation search and context augmentation for AI assistants

RAG Documentation MCP Server provides vector-based search and retrieval tools for documentation, enabling large language models to reference relevant context in their responses. It supports managing multiple documentation sources, semantic search, and real-time context delivery. Documentation can be indexed, searched, and managed with queueing and processing features, making it highly suitable for AI-driven assistants. Integration with Claude Desktop and support for Qdrant vector databases is also available.

238 29 MCP

8

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

9

codelogic-mcp-server

Leverage CodeLogic’s dependency data for AI-powered impact analysis.

Codelogic-mcp-server implements an MCP (Model Context Protocol) server, enabling integration of CodeLogic's software dependency data into AI programming assistants. It provides tools for code and database impact assessments by interacting with a CodeLogic server, enhancing context-aware code and database analysis. The server supports integration with popular IDEs, including VS Code and Claude Desktop, using Astral UV/UVX for communication. This solution is designed to bring actionable dependency insights to AI coding workflows.

31 14 MCP

10

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

11

In Memoria

Persistent memory and instant context for AI coding assistants, integrated via MCP.

In Memoria is an MCP server that enables AI coding assistants such as Claude or Copilot to retain, recall, and provide context about codebases across sessions. It learns patterns, architecture, and conventions from user code, offering persistent intelligence that eliminates repetitive explanations and generic suggestions. Through the Model Context Protocol, it allows AI tools to perform semantic search, smart file routing, and track project-specific decisions efficiently.

94 17 MCP

12

Cointelegraph MCP Server

Real-time Cointelegraph news via Model Context Protocol tools

Cointelegraph MCP Server provides real-time access to news from Cointelegraph by aggregating and serving content from 17 RSS feeds. Exposing MCP tools such as get_rss_categories and get_latest_news, it allows users and AI agents to interactively fetch categorized news articles with controllable output formatting and summary length. Optimized for seamless integration with platforms like Claude Desktop, it incorporates caching and markdown conversion for efficient and readable results.

8 5 MCP

13

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

14

Unity MCP

AI-powered game development assistant bridging MCP and Unity.

Unity MCP serves as an AI-powered assistant for game developers, acting as a bridge between MCP clients and the Unity engine. It enables natural chat-based interactions to perform various development tasks using large language models from multiple providers. The system offers tools for code assistance, debugging, and flexible deployment options, supporting both local and remote workflows. Its extensibility allows for the creation of custom MCP tools to enhance developer productivity in the Unity environment.

510 53 MCP

15

Aviationstack MCP Server

MCP server offering comprehensive endpoints for aviation and flight data.

Aviationstack MCP Server provides an MCP-compliant API that exposes tools to access real-time and scheduled flight data, aircraft details, random aircraft types, countries, and city information from the AviationStack API. It offers ready-to-use endpoints for airline-specific flight queries, airport schedules, and in-depth vehicle, country, and city data. The solution applies the Model Context Protocol by defining MCP tools as Python functions with standardized interfaces, designed for seamless integration into MCP-compatible environments. The server is built using Python, incorporates the FastMCP library, and is intended for easy deployment and use in application development.

11 4 MCP

16

Content Core

AI-powered content extraction and processing platform with seamless model context integration.

Content Core is an AI-driven platform for extracting, formatting, transcribing, and summarizing content from a wide variety of sources including documents, media files, web pages, images, and archives. It offers intelligent auto-detection and engine selection to optimize processing, and provides integrations via CLI, Python library, Raycast extension, macOS Services, and the Model Context Protocol (MCP). The platform supports context-aware AI summaries and direct integration with Claude through MCP for enhanced user workflows. Users can access zero-install options and benefit from enhanced processing capabilities such as advanced PDF parsing, OCR, and smart summarization.

85 20 MCP

17

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

18

Memcord

Privacy-first, self-hosted chat memory and context management for Claude and AI applications.

Memcord serves as a self-hosted MCP (Model Context Protocol) server that enables users to securely organize, summarize, and search through their chat history with AI, especially for Claude, without compromising privacy. It offers intelligent memory management, conversation auto-summarization, deduplication, and context merging to build a searchable knowledge base across multiple conversations. Memcord also integrates seamlessly with Claude Desktop, VSCode, and supports various installation methods for flexibility.

18 5 MCP

19

PDF Tools MCP

Comprehensive PDF manipulation via MCP protocol.

PDF Tools MCP provides an extensive suite of PDF manipulation operations using the Model Context Protocol framework. It supports both local and remote PDF tasks, such as rendering pages, merging, extracting metadata, retrieving text, and combining documents. The tool registers endpoints through the MCP protocol, enabling seamless server-based PDF processing for various clients. Built with Python, it emphasizes secure handling and compatibility with Claude Desktop via the Smithery ecosystem.

31 8 MCP

20

MCP Server for Deep Research

Transform research questions into comprehensive, well-cited reports using an advanced research assistant.

MCP Server for Deep Research provides an end-to-end workflow for conducting in-depth research on complex topics. It elaborates on research questions, generates subquestions, integrates web search, analyzes and synthesizes retrieved content, and generates structured, well-cited research reports. The tool integrates with Claude Desktop and leverages prompt templates tailored for comprehensive research tasks.

187 23 MCP

21

react-analyzer-mcp

Analyze and generate documentation for React components with Model Context Protocol integration.

react-analyzer-mcp analyzes React component source files (JSX/TSX) to extract information about components and their props. It features tools for analyzing individual components or entire project folders and can generate structured documentation automatically. The tool is designed to operate as an MCP (Model Context Protocol) server and integrates with AI assistants like Claude to provide real-time, context-aware analysis. Installation and usage workflows are streamlined for project integration, supporting both CLI and conversational interfaces.

51 3 MCP

22

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

23

Multi-Database MCP Server (by Legion AI)

Unified multi-database access and AI interaction server with MCP integration.

Multi-Database MCP Server enables seamless access and querying of diverse databases via a unified API, with native support for the Model Context Protocol (MCP). It supports popular databases such as PostgreSQL, MySQL, SQL Server, and more, and is built for integration with AI assistants and agents. Leveraging the MCP Python SDK, it exposes databases as resources, tools, and prompts for intelligent, context-aware interactions, while delivering zero-configuration schema discovery and secure credential management.

76 19 MCP

24

MCP-NixOS

Stop AI hallucinations about NixOS packages—get accurate, real-time information.

MCP-NixOS is a Model Context Protocol server designed to provide AI assistants with accurate, up-to-date information about NixOS packages, configuration options, Home Manager settings, and nix-darwin configurations. By interfacing with NixOS and NixHub.io, it enables detailed package search, version history, and configuration queries, drastically reducing AI-generated inaccuracies. It works cross-platform and can be deployed via different methods including uvx, Nix, and Docker.

328 17 MCP

25

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

26

mcp-paperswithcode

Discover and analyze research papers and code repositories through the PapersWithCode API.

mcp-paperswithcode provides a Model Context Protocol (MCP) interface for AI assistants to discover, search, and analyze research papers, related code repositories, datasets, authors, conferences, and research areas. The tool enables seamless integration with the PapersWithCode API, offering powerful methods for context-aware research exploration. It supports searching, retrieving metadata, extracting content, and listing relationships between academic resources, enhancing an AI model's ability to access and utilize scientific content.

14 7 MCP

27

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

28

CrateDocs MCP

MCP server for Rust crate documentation lookup and search

CrateDocs MCP is an MCP (Model Context Protocol) server designed to provide AI models with access to Rust crate documentation. It enables lookup of crate-level and item-level documentation, as well as efficient searching of Rust crates on crates.io. The system supports various server modes, offers multiple output formats, and includes features for both developers and large language models.

9 2 MCP

29

Chronulus MCP

Connect Chronulus AI Forecasting & Prediction Agents to Claude via the Model Context Protocol.

Chronulus MCP provides an MCP server enabling Claude users to interact with Chronulus AI forecasting and prediction agents. It allows seamless integration through multiple methods including pip, docker, and uvx, offering flexibility in deployment. The tool is designed to fit into the Claude desktop client's model context protocol configuration, streamlining the usage of Chronulus AI’s predictive capabilities in various workflows.

103 19 MCP

30

JupyterMCP

Enable direct Claude AI integration with Jupyter Notebook via the Model Context Protocol.

JupyterMCP integrates Jupyter Notebook (version 6.x) with Claude AI using the Model Context Protocol, enabling real-time interaction between AI models and live notebooks. It facilitates two-way communication, allowing Claude AI to execute code, manipulate cells, and retrieve outputs directly within the notebook. The system comprises a WebSocket server, client-side JavaScript, and an MCP server for seamless protocol implementation. Designed for developers and data scientists, it brings advanced AI assistance into interactive notebook environments.

111 22 MCP

31

Docker Hub MCP Server

Expose Docker Hub APIs to LLMs via the Model Context Protocol.

The Docker Hub MCP Server implements the Model Context Protocol (MCP) to make Docker Hub APIs accessible to large language models, enabling AI-powered discovery and management of container images and repositories. It provides an interface for LLMs to access real-time Docker Hub data, recommend images, and streamline developer workflows. The server supports both public and private repositories through configurable authentication, and can be integrated with AI assistants like Gordon and clients such as Claude Desktop.

83 61 MCP

32

@bldbl/mcp

Official MCP client for integrating AI assistants with Buildable projects.

@bldbl/mcp enables AI assistants like Claude and GPT to directly interact with Buildable projects using the Model Context Protocol (MCP). It provides full project context, smart task management, real-time progress tracking, and facilitates seamless communication between AI and human developers. TypeScript support and CLI tools ensure robust integration, making it ready for platforms like Claude Desktop and Cursor AI. The tool simplifies AI-driven project management and collaboration in software development.

8 7 MCP

33

mcp-server-docker

Natural language management of Docker containers via Model Context Protocol.

mcp-server-docker enables users to manage Docker containers using natural language instructions through the Model Context Protocol. It allows composing, introspecting, and debugging containers, as well as managing persistent Docker volumes. The tool is suitable for server administrators, tinkerers, and AI enthusiasts looking to leverage LLM capabilities for Docker management. Integration with tools like Claude Desktop and Docker ensures flexible deployment and easy connectivity to Docker engines.

648 86 MCP

34

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

35

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

36

AutoMobile

Powerful tools for mobile automation, test authoring, and device management via MCP.

AutoMobile provides a comprehensive set of tools for mobile automation, focusing on UI testing and development workflow automation. It operates as an MCP Server, enabling a robust interaction loop for model-driven actions and observations. The solution supports Android platforms with features like automated test authoring, multi-device management, and seamless CI test execution. AutoMobile also offers source mapping and deep view hierarchy analysis to enhance code rendering accuracy.

63 8 MCP

37

YDB MCP

MCP server for AI-powered natural language database operations on YDB.

YDB MCP acts as a Model Context Protocol server enabling YDB databases to be accessed via any LLM supporting MCP. It allows AI-driven and natural language interaction with YDB instances by bridging database operations with language model interfaces. Flexible deployment through uvx, pipx, or pip is supported, along with multiple authentication methods. The integration empowers users to manage YDB databases conversationally through standardized protocols.

24 7 MCP

38

MCP Pointer

Point to browser DOM elements for agentic coding tools via MCP.

MCP Pointer is a tool that combines a Chrome Extension and a local MCP Server to bridge browser DOM element selection with agentic coding tools through the Model Context Protocol. Users can visually select DOM elements in the browser using Option+Click, capturing rich contextual information such as text, CSS, and attributes. The MCP server exposes this data to AI-powered tools like Claude Code, Cursor, and Windsurf via a standardized protocol. This enables seamless, real-time transfer of in-browser context to AI coding assistants.

519 47 MCP

39

DAO Proposals MCP

Aggregates live DAO governance proposals for AI agents via MCP.

DAO Proposals MCP is an MCP server that aggregates and serves real-time governance proposals from major DAOs using the Snapshot platform. It enables AI agents to track, analyze, and act on decentralized decision-making processes by exposing standardized tools for listing spaces, retrieving proposals, and fetching proposal details. The server also supports prompt generation to summarize proposals and integrates seamlessly with Claude Desktop applications.

2 3 MCP

40

Armor Crypto MCP

Unified crypto API for integrating AI agents with multi-chain blockchain tools

Armor Crypto MCP provides a centralized solution for integrating AI agents with the crypto ecosystem, supporting wallet management, swaps, staking, and a variety of trading operations across several blockchains. It streamlines access to Solana in its alpha version and aims to support a wide range of blockchains including Ethereum, Avalanche, and Bitcoin. The platform enables agents to perform complex crypto operations using standardized interfaces and seamless configuration with agentic frameworks such as Claude Desktop, Cline, and n8n. Designed for ease of integration and multi-chain compatibility, it offers advanced features like DCA, stop loss, and cross-chain transactions.

184 23 MCP

41

Web3 Research MCP

Deep, automated, and structured crypto research delivered locally.

Web3 Research MCP enables detailed and comprehensive research into cryptocurrency tokens by automating data gathering, analysis, and reporting tasks. It integrates multiple data sources such as CoinGecko, CoinMarketCap, and DeFiLlama to create structured research plans, track research progress, and generate in-depth reports on token fundamentals, market data, and more. Optimized for local deployment, it can be used with platforms like Claude Desktop and Cursor to streamline the research workflow.

144 56 MCP

42

dbt-docs-mcp

MCP server for querying dbt project metadata and lineage

dbt-docs-mcp implements a Model Context Protocol (MCP) server that interacts with dbt project metadata artifacts such as manifest.json and catalog.json. It exposes the dbt project graph through a standardized API, enabling search and inspection of models, sources, columns, and their upstream/downstream lineage. The solution facilitates column-level and model-level lineage analysis, node inspection, and can be extended to support database metadata querying and custom knowledge bases. It is designed for integrations with MCP-compatible clients, supporting advanced data discovery and context sharing workflows.

21 5 MCP

43

Rust Docs MCP Server

Serving up-to-date Rust crate documentation as an MCP server for coding assistants.

Rust Docs MCP Server provides AI coding assistants with a focused tool to query current documentation for specific Rust crates. It runs as a standard MCP server over stdio, enabling context-driven semantic searches and LLM-generated answers based only on retrieved documentation. It fetches crate docs, generates embeddings, and leverages OpenAI APIs for accurate and relevant code support, with support for caching and multi-crate operation.

208 30 MCP

44

Currents MCP Server

Connect AI agents to test results context via Currents MCP Server.

Currents MCP Server provides a standardized Model Context Protocol (MCP) server for integrating test results and debugging data into AI agents. It enables seamless communication between CI test data in Currents and AI-powered tools, such as Cursor Editor and Claude Desktop, facilitating actions like test optimization and failure diagnosis. The server exposes a suite of tools for retrieving detailed project, run, and performance metrics and is easily configurable via command-line for development and integration. Secure handling of API keys and support for local development are included.

14 6 MCP

45

mcp-datetime

Datetime formatting service MCP server for Claude Desktop App

mcp-datetime provides a datetime formatting service implemented as an MCP server for integration with the Claude Desktop Application. It offers generation of current date and time strings in various formats, including standard, Japanese, ISO, and filename-friendly outputs. The server exposes a 'get_datetime' tool for easy retrieval of formatted dates and times with support for timezone handling and multi-language output. Seamless integration and Python packaging facilitate installation and extensibility.

25 12 MCP

46

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

47

Smart Tree

Lightning Fast Directory Visualization and AI-Enabled Context Compression.

Smart Tree is a high-performance directory visualization tool built with Rust, offering advanced context management and AI-integrated features. It supports persistent memory anchoring, compressed context formats for reduced token usage, and real-time, interactive terminal UI via Spicy TUI mode. The tool provides programmatic hooks for MCP compliance, enabling AI assistants to recall and leverage project insights efficiently.

175 15 MCP

48

Rember MCP

Let Claude create and manage flashcards from your chats and PDFs using Rember's spaced repetition.

Rember MCP enables integration between Claude and the Rember platform using the official Model Context Protocol (MCP). It allows users to generate flashcards from conversations or PDF documents and manage them with Rember's spaced repetition system. The tool can be run as a local MCP server which is easily configurable within Claude Desktop. It emphasizes effective tool descriptions, user guidance, and robust error handling strategies.

57 7 MCP

49

mcp-code-runner

A Docker-based code runner implementing the MCP protocol

mcp-code-runner is a code execution service built on top of the Model Context Protocol (MCP). It enables users to execute code securely within Docker containers and retrieve the execution results. The tool is designed to support code execution use cases while adhering to the MCP standard for interoperability. A local Docker environment is required for operation.

14 4 MCP

50

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

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