OpenAI MCP Server - Alternatives & Competitors

Bridge between Claude and OpenAI models using the MCP protocol.

OpenAI MCP Server enables direct querying of OpenAI language models from Claude via the Model Context Protocol (MCP). It provides a configurable Python server that exposes OpenAI APIs as MCP endpoints. The server is designed for seamless integration, requiring simple configuration updates and environment variable setup. Automated testing is supported to verify connectivity and response from the OpenAI API.

#openai #claude-integration #python-server #API bridging #automated testing #Natural language models

Ranked by Relevance

  • 1
    Perplexity MCP Server

    Perplexity MCP Server

    MCP Server integration for accessing the Perplexity API with context-aware chat completion.

    Perplexity MCP Server provides a Model Context Protocol (MCP) compliant server that interfaces with the Perplexity API, enabling chat completion with citations. Designed for seamless integration with clients such as Claude Desktop, it allows users to send queries and receive context-rich responses from Perplexity. Environment configuration for API key management is supported, and limitations with long-running requests are noted. Future updates are planned to enhance support for client progress reporting.

    85 35 MCP
  • 2
    any-chat-completions-mcp

    any-chat-completions-mcp

    Integrate multiple AI chat providers with OpenAI-compatible MCP server.

    any-chat-completions-mcp is a TypeScript-based server implementing the Model Context Protocol (MCP) to connect popular AI chat providers like OpenAI, Perplexity, Groq, xAI, and PyroPrompts via a unified interface. It relays chat/completion requests to any OpenAI SDK-compatible API, allowing users to easily access multiple AI services through the same standardized protocol. The server can be configured for different providers by setting environment variables and integrates with both Claude Desktop and LibreChat.

    143 23 MCP
  • 3
    mcp-cli

    mcp-cli

    A command-line inspector and client for the Model Context Protocol

    mcp-cli is a command-line interface tool designed to interact with Model Context Protocol (MCP) servers. It allows users to run and connect to MCP servers from various sources, inspect available tools, resources, and prompts, and execute commands non-interactively or interactively. The tool supports OAuth for various server types, making integration and automation seamless for developers working with MCP-compliant servers.

    391 31 MCP
  • 4
    FastMCP

    FastMCP

    The fast, Pythonic way to build MCP servers and clients.

    FastMCP is a production-ready framework for building Model Context Protocol (MCP) applications in Python. It streamlines the creation of MCP servers and clients, providing advanced features such as enterprise authentication, composable tools, OpenAPI/FastAPI generation, server proxying, deployment tools, and comprehensive client libraries. Designed for ease of use, it offers both standard protocol support and robust utilities for production deployments.

    20,201 1,488 MCP
  • 5
    MCP Manager for Claude Desktop

    MCP Manager for Claude Desktop

    A desktop app to manage Model Context Protocol (MCP) servers for Claude Desktop on MacOS.

    MCP Manager for Claude Desktop provides a user-friendly interface to manage Model Context Protocol (MCP) servers, enabling Claude to access private data, APIs, and local or remote services securely from a MacOS desktop. It facilitates rapid configuration and integration with a wide variety of MCP servers, including productivity tools, databases, and web APIs. The app runs locally to ensure data privacy and streamlines connecting Claude to new sources through simple environment and server settings management.

    270 41 MCP
  • 6
    MCP-wolfram-alpha

    MCP-wolfram-alpha

    An MCP server for querying the Wolfram Alpha API.

    MCP-wolfram-alpha provides an implementation of the Model Context Protocol, enabling integration with the Wolfram Alpha API. It exposes prompts and tools to facilitate AI systems in answering natural language queries by leveraging Wolfram Alpha's computational knowledge engine. The server requires an API key and offers configuration examples for seamless setup and development.

    64 17 MCP
  • 7
    Notion MCP Server

    Notion MCP Server

    Enable LLMs to interact with Notion using the Model Context Protocol.

    Notion MCP Server allows large language models to interface with Notion workspaces through a Model Context Protocol server, supporting both data retrieval and editing capabilities. It includes experimental Markdown conversion to optimize token usage for more efficient communication with LLMs. The server can be configured with environment variables and controlled for specific tool access. Integration with applications like Claude Desktop is supported for seamless automation.

    834 154 MCP
  • 8
    anki-mcp

    anki-mcp

    MCP server for seamless integration with Anki via AnkiConnect.

    An MCP server that bridges Anki flashcards with the Model Context Protocol, exposing AnkiConnect functionalities as standardized MCP tools. It organizes Anki actions into intuitive services covering decks, notes, cards, and models for easy access and automation. Designed for integration with AI assistants and other MCP-compatible clients, it enables operations like creating, modifying, and organizing flashcards through a unified protocol.

    6 4 MCP
  • 9
    MCP Server for Asana

    MCP Server for Asana

    Bridge Asana's API with Model Context Protocol tools for seamless task management.

    MCP Server for Asana provides a Model Context Protocol (MCP) compliant interface to the Asana API, enabling direct interaction with Asana from MCP clients such as Claude Desktop. It offers tools to list, search, retrieve, and create tasks and projects within Asana workspaces, with options for both read and write operations. The server supports advanced task filtering, project searching, and read-only modes for secure testing. Integration facilitates automation and streamlined project management within AI-powered environments.

    107 41 MCP
  • 10
    ws-mcp

    ws-mcp

    WebSocket bridge for MCP stdio servers.

    ws-mcp wraps Model Context Protocol (MCP) stdio servers with a WebSocket interface, enabling seamless integration with web-based clients and tools. It allows users to configure and launch multiple MCP servers via a flexible configuration file or command-line arguments. The tool is designed to be compatible with services such as wcgw, fetch, and other MCP-compliant servers, providing standardized access to system operations, HTTP requests, and more. Integration with tools like Kibitz enables broader applications in model interaction workflows.

    19 7 MCP
  • 11
    ScreenMonitorMCP v2

    ScreenMonitorMCP v2

    Real-time screen monitoring and visual analysis for AI assistants via MCP.

    ScreenMonitorMCP v2 is a Model Context Protocol (MCP) server enabling AI assistants to capture, analyze, and interact with screen content in real time. It supports instant screenshots, live streaming, advanced vision-based analysis, and provides performance monitoring across Windows, macOS, and Linux. Integration with clients like Claude Desktop is streamlined, offering easy configuration and broad compatibility. The tool leverages AI vision models to provide intelligent insights into screen content and system health.

    64 14 MCP
  • 12
    Oura MCP Server

    Oura MCP Server

    Enables language models to access Oura sleep, readiness, and resilience data via MCP.

    Oura MCP Server implements the Model Context Protocol to provide language models with access to Oura API data. It allows querying of sleep, readiness, and resilience metrics for specified date ranges or for the current day. The server supports integration with tools like Claude for Desktop and handles API authentication and error scenarios gracefully. Designed for seamless access to personal health metrics through standardized protocol endpoints.

    34 10 MCP
  • 13
    kibitz

    kibitz

    The coding agent for professionals with MCP integration.

    kibitz is a coding agent that supports advanced AI collaboration by enabling seamless integration with Model Context Protocol (MCP) servers via WebSockets. It allows users to configure Anthropic API keys, system prompts, and custom context providers for each project, enhancing contextual understanding for coding tasks. The platform is designed for developers and professionals seeking tailored AI-driven coding workflows and provides flexible project-specific configuration.

    104 14 MCP
  • 14
    Web3 MCP

    Web3 MCP

    A Model Context Protocol server for unified blockchain data access.

    Web3 MCP is a Model Context Protocol server that provides access to blockchain data through Ankr's Advanced API. It allows large language models to interact seamlessly with multiple blockchain networks such as Ethereum, BSC, Polygon, and Avalanche. With support for NFT, token, and blockchain query APIs, it enables users and AI agents to retrieve on-chain data, statistics, and analytics efficiently within an MCP context.

    3 1 MCP
  • 15
    Apple Notes MCP Server

    Apple Notes MCP Server

    Enables Claude Desktop to access and interact with local Apple Notes.

    Apple Notes MCP Server reads and provides access to local Apple Notes databases for use in Claude Desktop. It allows querying all notes, retrieving specific note content, and searching notes, facilitating deeper context integration for AI workflows. The server operates under the Model Context Protocol (MCP) and is designed for straightforward installation and integration. Currently, it supports reading and searching but does not handle encrypted notes, attachments, or note creation/editing.

    121 14 MCP
  • 16
    @nanana-ai/mcp-server-nano-banana

    @nanana-ai/mcp-server-nano-banana

    MCP server for Nanana AI image generation using Gemini's nano banana model.

    @nanana-ai/mcp-server-nano-banana serves as an MCP (Model Context Protocol) compatible server for facilitating image generation and transformation powered by the Gemini nano banana model. It enables clients like Claude Desktop to interact with Nanana AI, processing text prompts to generate images or transform existing images. The server can be easily configured with API tokens and integrated into desktop applications. Users can manage credentials, customize endpoints, and monitor credit usage seamlessly.

    3 2 MCP
  • 17
    Think MCP Tool

    Think MCP Tool

    Structured reasoning for agentic AI with the 'think' tool via Model Context Protocol.

    Think MCP Tool provides an MCP (Model Context Protocol) server implementing the 'think' tool for structured reasoning in agentic AI workflows. Inspired by Anthropic's research, it enables AI agents to pause and explicitly record thoughts during complex, multi-step problem solving without altering the environment. The system enhances sequential decision-making, policy compliance, and tool output analysis, and offers advanced extensions for criticism, planning, and searching. Suitable for integration with Claude or other agentic large language models.

    80 13 MCP
  • 18
    mcp-datetime

    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
  • 19
    Ancestry MCP Server

    Ancestry MCP Server

    MCP server for managing and interacting with GEDCOM genealogy files

    Ancestry MCP Server is a Python-based server that implements the Model Context Protocol (MCP) to enable operations on GEDCOM (.ged) genealogy files. It allows for reading, parsing, listing, renaming, and searching within GEDCOM files, primarily used for family history research. The server supports integration with tools like Claude Desktop and provides a standardized interface for programmatic access to ancestry data. Operations are restricted to user-specified directories for data safety.

    27 5 MCP
  • 20
    MCP Claude Spotify

    MCP Claude Spotify

    Connect Claude Desktop to Spotify using the Model Context Protocol.

    MCP Claude Spotify enables seamless integration between Claude Desktop and Spotify using the Model Context Protocol (MCP). It allows users to authenticate with Spotify, control playback, manage playlists, search for music, and access personalized recommendations directly from Claude Desktop. The solution supports both manual setup and auto-start with Claude Desktop, making it easy to interact with the Spotify API in a standardized way. Spotify credentials are required for setup and operation.

    20 7 MCP
  • 21
    Cal Server

    Cal Server

    Lightweight mathematical expression calculator as an MCP service

    Cal Server is a simple mathematical expression calculation tool built on the FastMCP framework and designed to operate as a Model Context Protocol (MCP) service. It evaluates mathematical expressions provided via standard input/output using the expr-eval library and runs in the Bun runtime environment. The service supports core mathematical operations, built-in constants, and parameter validation with zod, making it efficient and easy to integrate into other workflows.

    13 3 MCP
  • 22
    MCP OpenAI Server

    MCP OpenAI Server

    Seamlessly connect OpenAI's models to Claude via Model Context Protocol.

    MCP OpenAI Server acts as a Model Context Protocol (MCP) bridge allowing Claude Desktop to access and interact with multiple OpenAI chat models. It enables users to leverage models such as GPT-4o and O1 directly from Claude using a straightforward message-passing interface. The server supports easy integration through configuration and provides basic error handling. Designed for use with Node.js and requiring an OpenAI API key, it is tailored for macOS with support for other platforms in progress.

    69 23 MCP
  • 23
    MCP ChatGPT Server

    MCP ChatGPT Server

    Enables direct access to OpenAI's ChatGPT API from Claude Desktop via the Model Context Protocol.

    MCP ChatGPT Server runs as an MCP-compliant server, allowing users to access OpenAI's ChatGPT API seamlessly within Claude Desktop. It supports customizable model parameters, automated conversation state management, integrated web search for up-to-date information, and facilitates interactive discussions between Claude and ChatGPT. Users can configure model selection, temperature, token limits, and use their own OpenAI API keys.

    14 8 MCP
  • 24
    python-openstackmcp-server

    python-openstackmcp-server

    MCP server enabling AI-powered OpenStack cloud management

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

    15 6 MCP
  • 25
    ACP to MCP Adapter

    ACP to MCP Adapter

    Bridge ACP Agents with MCP Applications Seamlessly

    ACP to MCP Adapter is a lightweight standalone server that connects Agent Communication Protocol (ACP) agents to Model Context Protocol (MCP) applications. It enables MCP applications, such as Claude Desktop, to discover and interact with ACP agents as resources by exposing ACP agent runs as MCP tools. The adapter facilitates interoperability with minimal configuration, though it currently treats ACP agents as tools rather than peers and supports only basic content translation.

    30 5 MCP
  • 26
    CipherTrust Manager MCP Server

    CipherTrust Manager MCP Server

    Enables AI assistants to access CipherTrust Manager securely via the Model Context Protocol.

    CipherTrust Manager MCP Server provides an implementation of the Model Context Protocol (MCP), offering AI assistants such as Claude and Cursor a unified interface to interact with CipherTrust Manager resources. Communication is facilitated through JSON-RPC over stdin/stdout, enabling key management, CTE client management, user management, and connection management functionalities. The tool is configurable via environment variables and integrates with existing CipherTrust Manager instances using the ksctl CLI for secure resource access.

    7 4 MCP
  • 27
    mcpmcp-server

    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
  • 28
    Modbus MCP Server

    Modbus MCP Server

    Standardizes Modbus data for seamless AI integration via the Model Context Protocol.

    Modbus MCP Server provides an MCP-compliant interface that standardizes and contextualizes Modbus device data for use with AI agents and industrial IoT systems. It supports flexible Modbus connections over TCP, UDP, or serial interfaces and offers a range of Modbus tools for reading and writing registers and coils. With customizable prompts and structured tool definitions, it enables natural language-driven interactions and analysis of Modbus data within AI workflows. The solution is designed to ensure interoperability and easy configuration within MCP-compatible environments.

    18 7 MCP
  • 29
    books-mcp-server

    books-mcp-server

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

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

    5 2 MCP
  • 30
    MCP Server for Milvus

    MCP Server for Milvus

    Bridge Milvus vector database with AI apps using Model Context Protocol (MCP).

    MCP Server for Milvus enables seamless integration between the Milvus vector database and large language model (LLM) applications via the Model Context Protocol. It exposes Milvus functionality to external LLM-powered tools through both stdio and Server-Sent Events communication modes. The solution is compatible with MCP-enabled clients such as Claude Desktop and Cursor, supporting easy access to relevant vector data for enhanced AI workflows. Configuration is flexible through environment variables or command-line arguments.

    196 57 MCP
  • 31
    Open Data Model Context Protocol

    Open Data Model Context Protocol

    Easily connect open data providers to LLMs using a Model Context Protocol server and CLI.

    Open Data Model Context Protocol enables seamless integration of open public datasets into Large Language Model (LLM) applications, starting with support for Claude. Through a CLI tool and server, users can access and query public data providers within their LLM clients. It also offers tools and templates for contributors to publish and distribute new open datasets, making data discoverable and actionable for LLM queries.

    140 21 MCP
  • 32
    Unichat MCP Server

    Unichat MCP Server

    Universal MCP server providing context-aware AI chat and code tools across major model vendors.

    Unichat MCP Server enables sending standardized requests to leading AI model vendors, including OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek, Alibaba, and Inception, utilizing the Model Context Protocol. It features unified endpoints for chat interactions and provides specialized tools for code review, documentation generation, code explanation, and programmatic code reworking. The server is designed for seamless integration with platforms like Claude Desktop and installation via Smithery. Vendor API keys are required for secure access to supported providers.

    37 10 MCP
  • 33
    MCP Obsidian Server

    MCP Obsidian Server

    Integrate Obsidian note management with AI models via the Model Context Protocol.

    MCP Obsidian Server acts as a bridge between Obsidian and AI models by providing an MCP-compatible server interface. It enables programmatic access to Obsidian vaults through a local REST API, allowing operations like listing files, searching, reading, editing, and deleting notes. Designed to work with Claude Desktop and other MCP-enabled clients, it exposes a set of tools for efficient note and content management within Obsidian.

    2,394 298 MCP
  • 34
    OpenMCP

    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
  • 35
    cloudflare/mcp-server-cloudflare

    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
  • 36
    MCP Server for Odoo

    MCP Server for Odoo

    Connect AI assistants to Odoo ERP systems using the Model Context Protocol.

    MCP Server for Odoo enables AI assistants such as Claude to interact seamlessly with Odoo ERP systems via the Model Context Protocol (MCP). It provides endpoints for searching, creating, updating, and deleting Odoo records using natural language while respecting access controls and security. The server supports integration with any Odoo instance, includes smart features like pagination and LLM-optimized output, and offers both demo and production-ready modes.

    101 58 MCP
  • 37
    Postmancer

    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
  • 38
    Aiven MCP Server

    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
  • 39
    Codex MCP Server

    Codex MCP Server

    An MCP-compatible server delivering enriched blockchain data for AI models.

    Codex MCP Server implements the Model Context Protocol to provide enriched blockchain data from Codex. It is compatible with MCP clients such as Claude Desktop and Claude CLI, allowing seamless integration in AI workflows that require blockchain context. Users can run the server locally or via npx, and configure it for various MCP-compatible tools using their Codex API key.

    20 4 MCP
  • 40
    MCP Simple OpenAI Assistant

    MCP Simple OpenAI Assistant

    A simple MCP server for managing and interacting with OpenAI assistants.

    MCP Simple OpenAI Assistant enables seamless interaction with OpenAI assistants via the Model Context Protocol, providing tools to create, manage, and converse with AI assistants. It features real-time streaming responses, persistent thread management using a local database, and supports integration with client applications like Claude Desktop. The server handles assistant and conversation management, making it easy to create, list, update, and delete assistants and threads.

    36 16 MCP
  • 41
    MCP Link

    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
  • 42
    Dune Analytics MCP Server

    Dune Analytics MCP Server

    Bridge Dune Analytics data seamlessly to AI agents via a Model Context Protocol server.

    Dune Analytics MCP Server provides a Model Context Protocol-compliant server that allows AI agents to access and interact with Dune Analytics data. It exposes tools to fetch the latest results of Dune queries and execute arbitrary queries, returning results in CSV format. The server is easily deployable, supports integration with platforms like Claude Desktop, and requires a Dune Analytics API key for operation.

    31 8 MCP
  • 43
    Intruder MCP

    Intruder MCP

    Enable AI agents to control Intruder.io via the Model Context Protocol.

    Intruder MCP allows AI model clients such as Claude and Cursor to interactively control the Intruder vulnerability scanner through the Model Context Protocol. It can be deployed using smithery, locally with Python, or in a Docker container, requiring only an Intruder API key for secure access. The tool provides integration instructions tailored for MCP-compatible clients, streamlining vulnerability management automation for AI-driven workflows.

    21 4 MCP
  • 44
    Pica MCP Server

    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
  • 45
    OpenAI WebSearch MCP Server

    OpenAI WebSearch MCP Server

    Intelligent web search with OpenAI reasoning model support, fully MCP-compatible.

    OpenAI WebSearch MCP Server provides advanced web search functionality integrated with OpenAI's latest reasoning models, such as gpt-5 and o3-series. It features full compatibility with the Model Context Protocol, enabling easy integration into AI assistants that require up-to-date information and contextual awareness. Built with flexible configuration options, smart reasoning effort controls, and support for location-based search customization. Suitable for environments such as Claude Desktop, Cursor, and automated research workflows.

    75 18 MCP
  • 46
    youtube_mcp

    youtube_mcp

    YouTube transcription server with Model Context Protocol integration.

    youtube_mcp is a server that enables transcription of YouTube videos using the Model Context Protocol (MCP). Users can set up the server, authenticate via an MCP key, and stream video transcript data for integrated AI tools. Designed for use with applications like Claude desktop, it supports OpenAI APIs and utilizes browser cookies for access.

    26 3 MCP
  • 47
    Lucidity MCP

    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
  • 48
    mcp

    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
    MCP Server for Iaptic

    MCP Server for Iaptic

    A Model Context Protocol server for accessing and managing Iaptic data with AI agents.

    MCP Server for Iaptic implements the Model Context Protocol to enable AI models, such as Claude, to securely and efficiently interact with Iaptic's customer, purchase, transaction, and statistics data. The server provides a standardized interface and command set for querying and managing information related to customers, purchases, transactions, events, and application management. Designed for integration with Claude Desktop and similar AI clients, it offers both automated and manual installation options.

    5 7 MCP
  • 50
    YCloud WhatsApp API MCP Server

    YCloud WhatsApp API MCP Server

    Bridge YCloud WhatsApp API to AI models via Model Context Protocol.

    YCloud WhatsApp API MCP Server enables seamless integration between the YCloud WhatsApp OpenAPI and AI models using the Model Context Protocol (MCP). It dynamically generates MCP tools from the OpenAPI specification, supporting interaction with all YCloud API endpoints. The server includes built-in handling for API authentication, parameter validation, and HTTP request/response management, and can be easily integrated with Claude desktop applications. Environment variable configuration allows flexible deployment and usage.

    8 6 MCP

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