Make MCP Server (legacy) - Alternatives & Competitors

Ranked by Relevance

• 1
  

  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
• 2
  

  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
• 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
  

  MCP Miro Server

  Miro board integration for AI assistants via Model Context Protocol.

  MCP Miro Server provides a standardized MCP server interface to the Miro platform, enabling AI assistants to access and manage Miro boards programmatically. It supports a wide range of board and item operations, including creating, listing, updating, and deleting boards and their contents. Secure OAuth token access ensures integration with users’ Miro accounts. Designed to work seamlessly with AI tools like Claude Desktop, it allows efficient and automated Miro workspace management.

  57 16 MCP
• 5
  

  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
• 6
  

  Offorte MCP Server

  Bridge AI agents with Offorte proposal automation via the Model Context Protocol.

  Offorte MCP Server enables external AI models to create and send proposals through Offorte by implementing the Model Context Protocol. It facilitates automation workflows between AI agents and Offorte's proposal engine, supporting seamless integration with chat interfaces and autonomous systems. The server provides a suite of tools for managing contacts, proposals, templates, and automation sets, streamlining the proposal creation and delivery process via standardized context handling. Designed for extensibility and real-world automation, it leverages Offorte's public API to empower intelligent business proposals.

  4 4 MCP
• 7
  

  Plane MCP Server

  Enables LLMs to manage Plane.so projects and issues via the Model Context Protocol.

  Plane MCP Server provides a standardized interface to connect large language models with Plane.so project management APIs. It enables LLMs to interact directly with project and issue data, supporting tasks such as listing projects, retrieving detailed information, creating and updating issues, while prioritizing user control and security. Installation is streamlined through tools like Smithery, and configuration supports multiple clients including Claude for Desktop.

  32 13 MCP
• 8
  

  omniparser-autogui-mcp

  Automated GUI analysis and interaction via the Model Context Protocol.

  omniparser-autogui-mcp is an MCP server that leverages OmniParser to analyze on-screen content and perform automated GUI operations. It integrates with clients such as Claude Desktop and can be configured via a detailed environment setup. The tool supports Windows and can delegate OmniParser processing to external devices, offering flexibility for complex contexts. Multiple environment variables allow customization of backend processing, target window selection, and communication methods, including SSE.

  58 11 MCP
• 9
  

  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
  

  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
• 11
  

  MCP-Human

  Enabling human-in-the-loop decision making for AI assistants via the Model Context Protocol.

  MCP-Human is a server implementing the Model Context Protocol that connects AI assistants with real human input on demand. It creates tasks on Amazon Mechanical Turk, allowing humans to answer questions when AI systems require assistance. This solution demonstrates human-in-the-loop AI by providing a bridge between AI models and external human judgment through a standardized protocol. Designed primarily as a proof-of-concept, it can be easily integrated with MCP-compatible clients.

  20 3 MCP
• 12
  

  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
• 13
  

  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
• 14
  

  MCP Linear

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

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

  117 23 MCP
• 15
  

  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
• 16
  

  Mac Apps Launcher MCP Server

  Launch and manage macOS applications via an MCP server.

  Mac Apps Launcher MCP Server enables the listing, launching, and management of macOS applications through the Model Context Protocol. Designed to integrate with systems supporting MCP, it provides standardized methods to enumerate app folders, launch apps by name, and open files with specified applications. Configuration details are provided for integration with Claude Config JSON.

  16 8 MCP
• 17
  

  Climatiq MCP Server

  MCP server providing AI assistants with real-time carbon emissions calculations via Climatiq API.

  Climatiq MCP Server implements the Model Context Protocol to bridge AI assistants with the Climatiq API for precise carbon emissions calculations. It exposes a set of tools for various emissions scenarios, including electricity use, travel, freight, and more. The server generates resource URIs for detailed emission reports and provides natural language explanations on climate impact. Configuration is streamlined via environment variables, CLI tools, or files, supporting easy integration with platforms like Claude Desktop.

  6 8 MCP
• 18
  

  TickTick MCP Server

  Enable powerful AI-driven task management for TickTick via the Model Context Protocol.

  TickTick MCP Server provides comprehensive programmatic access to TickTick task management features using the Model Context Protocol. Built on the ticktick-py library, it enables AI assistants and MCP-compatible applications to create, update, retrieve, and filter tasks with improved precision and flexibility. The server supports advanced filtering, project and tag management, subtask handling, and robust context management for seamless AI integration.

  35 9 MCP
• 19
  

  Coda MCP Server

  A Model Context Protocol server enabling seamless interaction with Coda documents and pages.

  Coda MCP Server implements a Model Context Protocol (MCP) server that bridges AI assistants or MCP clients with the Coda API. It provides standardized tools for listing, creating, reading, updating, duplicating, and renaming Coda pages, as well as handling document context. The server communicates over standard input/output, supporting integration with platforms like Cursor and Claude Desktop, and can be deployed via Node.js or Docker.

  36 22 MCP
• 20
  

  Plugwise MCP Server

  TypeScript-based Model Context Protocol server for Plugwise smart home integration.

  Plugwise MCP Server is a TypeScript-based server that implements the Model Context Protocol (MCP) for integrating Plugwise smart home devices. It enables automatic discovery and secure management of Plugwise hubs, provides control over thermostats, switches, and smart plugs, and supports real-time device updates and energy monitoring. Designed for compatibility with popular MCP clients such as Claude Desktop, Cline, Cursor, and VS Code Copilot via standard I/O transport, it offers robust support for multiple hubs and both mock and real hardware environments.

  0 1 MCP
• 21
  

  Shopify Storefront MCP Server

  Seamless Shopify Storefront API access for AI assistants via Model Context Protocol

  Enables AI assistants to interact with Shopify store data through standardized MCP tools. Offers endpoints for product discovery, inventory management, GraphQL queries, cart operations, and comprehensive customer data manipulation. Designed for easy integration with MCP-compatible AI and automated token handling. Simplifies secure connection to Shopify's Storefront API with minimal configuration.

  5 5 MCP
• 22
  

  HackMD MCP Server

  MCP server connecting LLM clients to the HackMD collaborative note platform.

  HackMD MCP Server implements the Model Context Protocol (MCP) to provide a standardized interface between large language model (LLM) clients and the HackMD collaborative note service. Through HTTP and STDIO transports, it enables creation, retrieval, update, and deletion of notes, along with management of teams, user profiles, and history data. It supports deployment in both local and cloud environments, with secure API token-based authentication and configuration via environment variables or HTTP headers.

  43 7 MCP
• 23
  

  mcp-kibela

  MCP server for secure, AI-assisted access to Kibela notes.

  mcp-kibela is a Model Context Protocol (MCP) server implementation that enables AI assistants to search, retrieve, create, and update content from Kibela, a team knowledge-sharing platform. It provides standardized endpoints for note search, fetching individual or recent notes, and managing note content. Integrating with tools like Claude, Cursor, and VSCode, it allows seamless, secure access to organizational knowledge through MCP-enabled clients. Authentication via environment variables ensures secure connections to Kibela APIs.

  12 7 MCP
• 24
  

  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
• 25
  

  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
• 26
  

  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
• 27
  

  Typst MCP Server

  Facilitates AI-driven Typst interactions with LaTeX conversion, validation, and image generation tools.

  Typst MCP Server implements the Model Context Protocol, enabling AI models to interface seamlessly with Typst, a markup-based typesetting system. It provides tools for tasks such as converting LaTeX to Typst, validating Typst syntax, listing and retrieving Typst documentation chapters, and rendering Typst code as images. The server is compatible with MCP agent clients, such as Claude Desktop and VS Code’s agent mode. All functionalities are exposed as tools for ease of LLM integration.

  79 7 MCP
• 28
  

  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
• 29
  

  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
• 30
  

  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
• 31
  

  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
• 32
  

  mcp-time

  A Model Context Protocol server for time and date operations

  mcp-time is a Model Context Protocol (MCP) server that enables AI assistants and MCP clients to perform standardized time and date-related operations. It provides natural language parsing for relative time expressions, supports flexible formatting, and allows manipulation and comparison of times. The server offers multiple integration methods, including stdio, HTTP stream, Docker, and npx for compatibility with various clients. It is designed for robust time handling and easy integration with AI tools.

  8 5 MCP
• 33
  

  ScreenPilot

  Empower LLMs with full device control through screen automation.

  ScreenPilot provides an MCP server interface to enable large language models to interact with and control graphical user interfaces on a device. It offers a comprehensive toolkit for screen capture, mouse control, keyboard input, scrolling, element detection, and action sequencing. The toolkit is suitable for automation, education, and experimentation, allowing AI agents to perform complex operations on a user’s device.

  50 8 MCP
• 34
  

  @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
• 35
  

  Spotify MCP Server

  A lightweight MCP server enabling AI assistants to control Spotify playback and manage playlists.

  Spotify MCP Server is a lightweight implementation of the Model Context Protocol that allows AI assistants, such as Cursor and Claude, to control Spotify playback and manage playlists. It provides a set of tools for searching music, managing playback state, handling playlists, and accessing user-specific track data. The server integrates seamlessly with productivity assistants and editors to facilitate contextual music control via standardized protocols. It includes authentication, Spotify API configuration, and detailed operations for reading and updating playback context.

  179 43 MCP
• 36
  

  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
• 37
  

  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
• 38
  

  Data Visualization MCP Server

  MCP server for data visualization using Vega-Lite.

  Data Visualization MCP Server enables large language models to visualize data through a standardized interface using Vega-Lite specifications. The server provides tools for saving data tables and generating visualizations as text or PNG images. Integration with platforms like Claude Desktop allows seamless addition of data visualization capabilities to LLM workflows.

  92 25 MCP
• 39
  

  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
• 40
  

  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
• 41
  

  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
• 42
  

  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
• 43
  

  mcp-server-js

  Enable secure, AI-driven process automation and code execution on YepCode via Model Context Protocol.

  YepCode MCP Server acts as a Model Context Protocol (MCP) server that facilitates seamless communication between AI platforms and YepCode’s workflow automation infrastructure. It allows AI assistants and clients to execute code, manage environment variables, and interact with storage through standardized tools. The server can expose YepCode processes directly as MCP tools and supports both hosted and local installations via NPX or Docker. Enterprise-grade security and real-time interaction make it suitable for integrating advanced automation into AI-powered environments.

  31 13 MCP
• 44
  

  QuantConnect MCP Server

  Official bridge for secure AI access to QuantConnect's algorithmic trading cloud platform

  QuantConnect MCP Server enables artificial intelligence systems such as Claude and OpenAI to interface with QuantConnect's cloud platform through an official, secure, and dockerized implementation of the Model Context Protocol (MCP). It facilitates automated project management, strategy writing, backtesting, and live deployment by exposing a comprehensive suite of API tools for users with valid access credentials. As the maintained official version, it ensures security, easy deployment, and cross-platform compatibility for advanced algorithmic trading automation.

  50 19 MCP
• 45
  

  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
• 46
  

  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
• 47
  

  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
• 48
  

  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
• 49
  

  Stape MCP Server

  An MCP server implementation for integrating Stape with AI model context protocols.

  Stape MCP Server provides an implementation of the Model Context Protocol server tailored for the Stape platform. It enables secure and standardized access to model context capabilities, allowing integration with tools such as Claude Desktop and Cursor AI. Users can easily configure and authenticate MCP connections using provided configuration samples, while managing context and credentials securely. The server is open source and maintained by the Stape Team under the Apache 2.0 license.

  4 3 MCP
• 50
  

  Insforge MCP Server

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

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

  3 2 MCP