MCP Ping-Pong Server by Remote Call - Alternatives & Competitors

Ranked by Relevance

• 1
  

  FastMCP

  TypeScript framework for building robust MCP servers with minimal setup.

  FastMCP is a TypeScript framework designed for building servers that adhere to the Model Context Protocol (MCP), enabling efficient management of client sessions and context. It streamlines the creation of MCP servers by providing intuitive APIs, built-in authentication, session and request tracking, and support for handling various content types such as images and audio. The framework also enforces best practices around error handling, logging, and streaming outputs. Developers benefit from reduced boilerplate and a focus on core MCP functionality.

  2,738 231 MCP
• 2
  

  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
• 3
  

  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
  

  Model Context Protocol Server for Home Assistant

  Seamlessly connect Home Assistant to LLMs for natural language smart home control via MCP.

  Enables integration between a local Home Assistant instance and language models using the Model Context Protocol (MCP). Facilitates natural language monitoring and control of smart home devices, with robust API support for state management, automation, real-time updates, and system administration. Features secure, token-based access, and supports mobile and HTTP clients. Designed to bridge Home Assistant environments with modern AI-driven automation.

  468 41 MCP
• 5
  

  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
• 6
  

  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
• 7
  

  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
• 8
  

  interactive-mcp

  Enable interactive, local communication between LLMs and users via MCP.

  interactive-mcp implements a Model Context Protocol (MCP) server in Node.js/TypeScript, allowing Large Language Models (LLMs) to interact directly with users on their local machine. It exposes tools for requesting user input, sending notifications, and managing persistent command-line chat sessions, facilitating real-time communication. Designed for integration with clients like Claude Desktop and VS Code, it operates locally to access OS-level notifications and command prompts. The project is suited for interactive workflows where LLMs require user involvement or confirmation.

  313 25 MCP
• 9
  

  MyMCP Server (All-in-One Model Context Protocol)

  Powerful and extensible Model Context Protocol server with developer and productivity integrations.

  MyMCP Server is a robust Model Context Protocol (MCP) server implementation that integrates with services like GitLab, Jira, Confluence, YouTube, Google Workspace, and more. It provides AI-powered search, contextual tool execution, and workflow automation for development and productivity tasks. The system supports extensive configuration and enables selective activation of grouped toolsets for various environments. Installation and deployment are streamlined, with both automated and manual setup options available.

  93 9 MCP
• 10
  

  RAE Model Context Protocol (MCP) Server

  An MCP server enabling LLMs to access RAE’s dictionary and linguistic resources.

  Provides a Model Context Protocol (MCP) server implementation for the Royal Spanish Academy API, facilitating integration with language models. Offers tools such as search and word information retrieval, exposing RAE’s dictionary and linguistic data to LLMs. Supports multiple transports including stdio and SSE, making it suitable for both direct and server-based LLM interactions.

  3 3 MCP
• 11
  

  OpenAI MCP Server

  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.

  77 19 MCP
• 12
  

  Remote-MCP

  A type-safe, bidirectional system for remote Model Context Protocol communication.

  Remote-MCP provides a simple and secure way to enable remote access to and centralized management of model contexts using the Model Context Protocol. It bridges local MCP clients with remote MCP servers, supporting a modular architecture via tRPC over HTTP. The tool allows integration both as a client and a server, catering to real-time remote access needs ahead of the official MCP roadmap.

  200 29 MCP
• 13
  

  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
• 14
  

  MCP CLI

  A powerful CLI for seamless interaction with Model Context Protocol servers and advanced LLMs.

  MCP CLI is a modular command-line interface designed for interacting with Model Context Protocol (MCP) servers and managing conversations with large language models. It integrates with the CHUK Tool Processor and CHUK-LLM to provide real-time chat, interactive command shells, and automation capabilities. The system supports a wide array of AI providers and models, advanced tool usage, context management, and performance metrics. Rich output formatting, concurrent tool execution, and flexible configuration make it suitable for both end-users and developers.

  1,755 299 MCP
• 15
  

  Vectara MCP Server

  Secure RAG server enabling seamless AI integration via Model Context Protocol.

  Vectara MCP Server implements the open Model Context Protocol to enable AI systems and agentic applications to connect securely with Vectara's Trusted RAG platform. It supports multiple transport modes, including secure HTTP, Server-Sent Events (SSE), and local STDIO for development. The server provides fast, reliable retrieval-augmented generation (RAG) operations with built-in authentication, rate limiting, and optional CORS configuration. Integration is compatible with Claude Desktop and any other MCP client.

  25 8 MCP
• 16
  

  MCP Shell Server

  A secure, configurable shell command execution server implementing the Model Context Protocol.

  MCP Shell Server provides secure remote execution of whitelisted shell commands via the Model Context Protocol (MCP). It supports standard input, command output retrieval, and enforces strict safety checks on command operations. The tool allows configuration of allowed commands and execution timeouts, and can be integrated with platforms such as Claude.app and Smithery. With robust security assessments and flexible deployment methods, it facilitates controlled shell access for AI agents.

  153 42 MCP
• 17
  

  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
• 18
  

  CMD MCP Server

  Execute CMD commands via the Model Context Protocol with cross-platform and SSH support.

  CMD MCP Server is an implementation of the Model Context Protocol (MCP) for executing CMD commands on Windows and Linux systems, with additional support for SSH connections. It enables seamless integration of command-line operations with MCP-compatible applications, leveraging the official MCP SDK. Written in TypeScript for cross-platform compatibility, it allows programmatic execution, configuration, and extension of CMD operations through standardized protocols. The server is designed for easy installation, robust configuration, and developer-friendly extension.

  22 11 MCP
• 19
  

  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
• 20
  

  SSH MCP Server

  MCP-compliant SSH server for secure command execution on Linux and Windows.

  SSH MCP Server provides an MCP-compliant interface to expose SSH control for both Linux and Windows systems. It enables secure execution of shell commands remotely, supporting password and SSH key authentication as well as sudo and su elevation. Built with TypeScript and the official MCP SDK, the server offers configurable timeouts, process management, and compatibility with popular LLM clients such as Claude Desktop and Cursor. Designed for robust and flexible integration, it facilitates natural language interfaces to system administration tasks.

  137 24 MCP
• 21
  

  MCP Router

  A Unified MCP Server Management App

  MCP Router is a cross-platform desktop application designed to simplify the management of Model Context Protocol (MCP) servers. It enables users to centrally manage, organize, and monitor multiple MCP servers, both locally and remotely, with support for various connection methods. The app offers advanced context organization through Projects and Workspaces, as well as tools toggling and comprehensive logging. With a focus on privacy, all data is stored locally, and integration capabilities allow seamless connection with popular AI tools.

  1,078 95 MCP
• 22
  

  FHIR MCP Server

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

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

  34 5 MCP
• 23
  

  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
• 24
  

  Weaviate MCP Server

  A server implementation for the Model Context Protocol (MCP) built on Weaviate.

  Weaviate MCP Server provides a backend implementation of the Model Context Protocol, enabling interaction with Weaviate for managing, inserting, and querying context objects. The server facilitates object insertion and hybrid search retrieval, supporting context-driven workflows required for LLM orchestration and memory management. It includes tools for building and running a client application, showcasing integration with Weaviate's vector database.

  157 38 MCP
• 25
  

  Opik MCP Server

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

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

  182 27 MCP
• 26
  

  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
• 27
  

  CLI MCP Server

  A secure MCP server for controlled command-line operations.

  CLI MCP Server provides a secure implementation of the Model Context Protocol (MCP) for executing command-line operations with robust security features. It enables controlled CLI access by enforcing command and flag whitelisting, path validation, and shell operator restrictions, making it suitable for integration with large language model applications. Designed for configurable deployment, it supports detailed error reporting, execution timeouts, and strict working directory controls.

  155 28 MCP
• 28
  

  Open Feishu MCP Server

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

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

  66 9 MCP
• 29
  

  Globalping MCP Server

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

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

  33 3 MCP
• 30
  

  Infobip MCP Servers

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

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

  20 2 MCP
• 31
  

  memvid-mcp-server

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

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

  8 3 MCP
• 32
  

  Kubernetes MCP Server

  A standardized MCP interface for Kubernetes cluster management and introspection.

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

  117 21 MCP
• 33
  

  Braintree MCP Server

  Enables AI assistants to securely access and manage Braintree payment processing via MCP.

  Braintree MCP Server implements the Model Context Protocol (MCP) to provide AI assistants with structured, direct access to PayPal Braintree's payment services. It supports both STDIO and Server-Sent Events (SSE) transports, facilitating integration with AI clients and standalone web-based deployments. The server allows execution of GraphQL queries against Braintree, supports multi-client access, and handles authentication through environment-based configuration. Designed for secure, extensible, and automated payment operations in AI-driven workflows.

  3 3 MCP
• 34
  

  GrowthBook MCP Server

  Interact with GrowthBook from your LLM client via MCP.

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

  15 12 MCP
• 35
  

  MCP Server for TheHive

  Connect AI-powered automation tools to TheHive incident response platform via MCP.

  MCP Server for TheHive enables AI models and automation clients to interact with TheHive incident response platform using the Model Context Protocol. It provides tools to retrieve and analyze security alerts, manage cases, and automate incident response operations. The server facilitates seamless integration by exposing these functionalities over the standardized MCP protocol through stdio communication. It offers both pre-compiled binaries and a source build option with flexible configuration for connecting to TheHive instances.

  11 3 MCP
• 36
  

  Telephony MCP Server

  MCP-based telephony server enabling LLMs to make voice calls and send SMS via Vonage.

  Telephony MCP Server provides Model Context Protocol-based tools that allow integration of telephony operations, such as voice calls and SMS sending, with Large Language Model applications. Built with Python and leveraging the Vonage API, it exposes callable functions that LLMs can use to interact with the real world. The server defines tools like 'voice_call' and 'send_sms' for secure, programmatic communication via FastAPI interfaces. It is designed for agentic and tool-using AI systems to extend their operational capabilities beyond text generation.

  12 3 MCP
• 37
  

  Teamwork MCP Server

  Seamless Teamwork.com integration for Large Language Models via the Model Context Protocol

  Teamwork MCP Server is an implementation of the Model Context Protocol (MCP) that enables Large Language Models to interact securely and programmatically with Teamwork.com. It offers standardized interfaces, including HTTP and STDIO, allowing AI agents to perform various project management operations. The server supports multiple authentication methods, an extensible toolset architecture, and is designed for production deployments. It provides read-only capability for safe integrations and robust observability features.

  11 9 MCP
• 38
  

  mcp-server-home-assistant

  A Model Context Protocol Server integration for Home Assistant.

  Provides an MCP server interface for Home Assistant, enabling context sharing between Home Assistant and AI models through the Model Context Protocol. Allows users to connect Claude Desktop and similar tools to Home Assistant via a WebSocket API and secure API token. Facilitates seamless integration by leveraging a custom Home Assistant component that is migrating into Home Assistant Core. Enables access and manipulation of smart home context data in standardized ways.

  64 8 MCP
• 39
  

  Kubectl MCP Server

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

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

  734 137 MCP
• 40
  

  locust-mcp-server

  Run Locust load tests via Model Context Protocol integration.

  locust-mcp-server provides a Model Context Protocol (MCP) server for executing Locust load tests, allowing seamless connection between Locust and AI-powered development environments. It offers easy configuration, real-time test output, and both headless and UI testing modes. The project features a simple API for customizable load testing scenarios and supports various runtime and user parameters.

  9 6 MCP
• 41
  

  Weather MCP Server

  A Model Context Protocol server delivering weather and air quality data via multiple transport modes.

  Weather MCP Server is a Model Context Protocol (MCP) implementation that provides comprehensive weather and air quality information using the Open-Meteo API. It supports various transport modes including standard stdio for desktop clients, HTTP Server-Sent Events (SSE), and Streamable HTTP for modern web integration. The server offers both real-time and historical weather metrics, as well as timezone and time conversion functionalities. Installation and integration options are available for both MCP desktop clients and web applications.

  26 22 MCP
• 42
  

  mcp-access-point

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

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

  118 21 MCP
• 43
  

  Cal.com FastMCP Server

  FastMCP server enabling LLMs to interact programmatically with the Cal.com API.

  Cal.com FastMCP Server provides an implementation of the Model Context Protocol (MCP), enabling language models to programmatically interact with the Cal.com API. It offers a range of tools for managing event types, bookings, schedules, teams, users, and webhooks through a standardized FastMCP server. The system includes robust error handling and requires an API key for authentication.

  13 8 MCP
• 44
  

  FastMCP SonarQube Metrics

  Message-based access to SonarQube data via the Fast Model Context Protocol.

  Provides a FastMCP-based framework for programmatically retrieving metrics, project lists, historical data, and issues from SonarQube instances. Facilitates simplified message-based client-server communication, abstracting direct API interactions and enabling automation, reporting, and integration. Supports key actions including project creation, deletion, metric retrieval, and issue listing for SonarQube environments. Designed for developers, DevOps engineers, and analysts seeking to incorporate SonarQube data into broader workflows.

  12 5 MCP
• 45
  

  mcp-server-templates

  Deploy Model Context Protocol servers instantly with zero configuration.

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

  5 1 MCP
• 46
  

  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
• 47
  

  MCP Server for ZenML

  Expose ZenML data and pipeline operations via the Model Context Protocol.

  Implements a Model Context Protocol (MCP) server for interfacing with the ZenML API, enabling standardized access to ZenML resources for AI applications. Provides tools for reading data about users, stacks, pipelines, runs, and artifacts, as well as triggering new pipeline runs if templates are available. Includes robust testing, automated quality checks, and supports secure connection from compatible MCP clients. Designed for easy integration with ZenML instances, supporting both local and remote ZenML deployments.

  32 10 MCP
• 48
  

  PythonAnywhere Model Context Protocol Server

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

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

  8 4 MCP
• 49
  

  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
• 50
  

  Kanboard MCP Server

  MCP server for seamless AI integration with Kanboard project management.

  Kanboard MCP Server is a Go-based server implementing the Model Context Protocol (MCP) for integrating AI assistants with the Kanboard project management system. It enables users to manage projects, tasks, users, and workflows in Kanboard directly via natural language commands through compatible AI tools. With built-in support for secure authentication and high performance, it facilitates streamlined project operations between Kanboard and AI-powered clients like Cursor or Claude Desktop. The server is configurable and designed for compatibility with MCP standards.

  15 4 MCP