GameBrain MCP API Clients - Alternatives & Competitors

Ranked by Relevance

• 1
  

  Weblate MCP Server

  Seamlessly connect AI assistants to Weblate for translation management via the Model Context Protocol.

  Weblate MCP Server enables AI assistants and clients to directly manage Weblate translation projects through the Model Context Protocol (MCP). It integrates with the Weblate REST API, allowing natural language interaction for project and translation management. The tool offers multiple transport options including HTTP, SSE, and STDIO, and is optimized for large language model workflows. Full support for project, component, and translation operations is provided, with a focus on type safety and flexible environment configuration.

  9 5 MCP
• 2
  

  Binary Ninja MCP

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

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

  112 35 MCP
• 3
  

  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
• 4
  

  BoldSign MCP Server

  Bridge Large Language Models with BoldSign's e-signature API via the Model Context Protocol.

  BoldSign MCP Server enables interaction between Large Language Models (LLMs) and the BoldSign API using the Model Context Protocol (MCP). It allows LLMs to manage templates and documents for e-signature workflows as autonomous agents connected to external systems. The server can be seamlessly integrated with various MCP-compatible clients such as Cursor, VS Code, Windsurf, and Claude Desktop. Configuration is made easy through standard environment variables and client-specific setup instructions.

  3 6 MCP
• 5
  

  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
• 6
  

  MCP Server for Google Tag Manager

  Remote MCP server enabling Google Tag Manager integration with AI clients.

  MCP Server for Google Tag Manager enables remote MCP connections with built-in Google OAuth, creating an interface to the Google Tag Manager API. It facilitates secure authentication and streamlined access for AI tools like Claude Desktop and Cursor AI. Developers can quickly configure their MCP clients for seamless integration and manage credentials with ease. Tools and workflows become accessible once authenticated, enhancing contextual interaction and automation through Google Tag Manager.

  70 29 MCP
• 7
  

  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
• 8
  

  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
• 9
  

  Parallel Search MCP

  Integrate Parallel Search API with any MCP-compatible LLM client.

  Parallel Search MCP provides an interface to use the Parallel Search API seamlessly from any Model Context Protocol (MCP)-compatible language model client. It serves as a proxy server that connects requests to the search API, adding the necessary support for authentication and MCP compatibility. The tool is designed for everyday web search tasks and facilitates easy web integration for LLMs via standardized MCP infrastructure.

  3 2 MCP
• 10
  

  Graphlit MCP Server

  Integrate and unify knowledge sources for RAG-ready AI context with the Graphlit MCP Server.

  Graphlit MCP Server provides a Model Context Protocol interface, enabling seamless integration between MCP clients and the Graphlit platform. It supports ingestion from a wide array of sources such as Slack, Discord, Google Drive, email, Jira, and GitHub, turning them into a searchable, RAG-ready knowledge base. Built-in tools allow for document, media extraction, web crawling, and web search, as well as advanced retrieval and publishing functionalities. The server facilitates easy configuration, sophisticated data operations, and automated notifications for diverse workflows.

  369 49 MCP
• 11
  

  CyberChef API MCP Server

  MCP server enabling LLMs to access CyberChef's powerful data analysis and processing tools.

  CyberChef API MCP Server implements the Model Context Protocol (MCP), interfacing with the CyberChef Server API to provide structured tools and resources for LLM/MCP clients. It exposes key CyberChef operations such as executing recipes, batch processing, retrieving operation categories, and utilizing the magic operation for automated data decoding. The server can be configured and managed via standard MCP client workflows and supports context-driven tool invocation for large language models.

  29 5 MCP
• 12
  

  Enrichr MCP Server

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

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

  7 3 MCP
• 13
  

  GXtract MCP Server

  MCP server for seamless GroundX platform integration with modern editors.

  GXtract MCP Server implements the Model Context Protocol (MCP) to facilitate direct integration between the GroundX document understanding platform and editors such as VS Code. It offers tools for document search, querying, and semantic object explanations, leveraging Python 3.12+ and FastMCP v2 for high performance. The system includes an in-memory cache to boost efficiency and reduce API calls, with support for both stdio and HTTP transport layers for maximum flexibility.

  1 3 MCP
• 14
  

  Parallel Task MCP

  Launch deep research or task groups for Parallel APIs via the Model Context Protocol.

  Parallel Task MCP provides a way to initiate and manage research or task groups through LLM clients using the Model Context Protocol. It enables seamless integration with Parallel’s APIs for flexible experimentation and production development. The tool supports both remote and local deployment, and offers connection capabilities for context-aware AI workflows.

  4 3 MCP
• 15
  

  Ragie Model Context Protocol Server

  Seamless knowledge base retrieval via Model Context Protocol for enhanced AI context.

  Ragie Model Context Protocol Server enables AI models to access and retrieve information from a Ragie-managed knowledge base using the standardized Model Context Protocol (MCP). It provides a retrieve tool with customizable query options and supports integration with tools like Cursor and Claude Desktop. Users can configure API keys, specify partitions, and override tool descriptions. Designed for rapid setup via npx and flexible for project-specific or global usage.

  81 18 MCP
• 16
  

  G-Search MCP

  Parallel Google search server with MCP support for structured AI context.

  G-Search MCP is a server for executing parallel Google searches optimized for use with AI tools through the Model Context Protocol. It efficiently handles multiple queries at once, simulates realistic user behavior to evade detection, and returns well-structured JSON responses. The server is configurable, supports parameter tuning like search limits and timeouts, and is designed for seamless integration in AI-driven environments such as Claude Desktop.

  224 29 MCP
• 17
  

  @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
• 18
  

  Google MCP Tools

  Seamless Google Workspace integration for AI-driven clients via the MCP protocol

  Google MCP Tools enables AI clients to interact with Google services like Gmail, Calendar, and Drive using the Model Context Protocol (MCP). It provides secure OAuth and service account support for managing emails, calendar events, and drive files. Core capabilities include sending and drafting emails with attachments, managing labels, scheduling calendar events, and handling files in Google Drive. Designed for smooth integration with AI assistants such as Claude and Cursor.

  12 9 MCP
• 19
  

  GIF Creator MCP

  Convert videos to high-quality GIF animations via MCP.

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

  11 5 MCP
• 20
  

  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
• 21
  

  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
• 22
  

  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
• 23
  

  DoorDash MCP Server

  Integrate DoorDash API with MCP-compatible AI clients.

  DoorDash MCP Server enables seamless integration between the DoorDash API and Model Context Protocol (MCP) compatible clients such as Claude Desktop, Windsurf, and Cursor. It provides an easy setup process to compile and build the server using TypeScript and Node.js, offering users a JSON configuration to connect with MCP clients. The server supports API key configuration for secure access. Direct support and feedback channels are available for users requiring assistance.

  14 4 MCP
• 24
  

  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
• 25
  

  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
• 26
  

  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
• 27
  

  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
• 28
  

  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
• 29
  

  Godot MCP

  A Model Context Protocol (MCP) server implementation using Godot and Node.js.

  Godot MCP implements the Model Context Protocol (MCP) as a server, leveraging the Godot game engine along with Node.js and TypeScript technologies. Designed for seamless integration and efficient context management, it aims to facilitate standardized communication between AI models and applications. This project offers a ready-to-use MCP server for developers utilizing Godot and modern JavaScript stacks.

  1,071 124 MCP
• 30
  

  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
• 31
  

  MCP GitLab Jira Server

  MCP server for seamless GitLab and Jira integration

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

  6 4 MCP
• 32
  

  REST CSV MCP Server

  Generate a REST-based MCP Server for CSV-backed applications.

  REST CSV MCP Server is a tool generated using mcpgen to facilitate the implementation of the Model Context Protocol. It compiles TypeScript files to create a build directory, providing JSON configuration compatible with various MCP clients such as Claude Desktop, Windsurf, and Cursor. The server interacts with CSV data through a REST interface and streamlines integration into MCP environments.

  11 3 MCP
• 33
  

  Supabase MCP Server

  Connect Supabase projects to AI assistants using the Model Context Protocol.

  Supabase MCP Server enables direct, secure integration between Supabase projects and AI assistants such as Cursor, Claude, and Windsurf. Leveraging the Model Context Protocol, it provides standardized endpoints for external LLMs to perform tasks like managing tables, fetching configurations, and querying data on Supabase. The server supports OAuth 2.1 Dynamic Client Registration and offers easy setup with feature groups and popular client installers for local, cloud, and self-hosted environments.

  2,263 253 MCP
• 34
  

  CircleCI MCP Server

  Enable LLM-driven automation for CircleCI with the Model Context Protocol.

  CircleCI MCP Server is an implementation of the Model Context Protocol (MCP) designed to bridge CircleCI with large language models and AI assistants. It supports integration with tools like Cursor IDE, Windsurf, Copilot, and VS Code, allowing users to interact with CircleCI using natural language. The server can be deployed locally via NPX or Docker and remotely, making CircleCI workflows accessible and manageable through standardized protocol operations.

  69 38 MCP
• 35
  

  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
• 36
  

  mcp-get

  A command-line tool for discovering, installing, and managing Model Context Protocol servers.

  mcp-get is a CLI tool designed to help users discover, install, and manage Model Context Protocol (MCP) servers. It enables seamless integration of Large Language Models (LLMs) with various external data sources and tools by utilizing a standardized protocol. The tool provides access to a curated registry of MCP servers and supports installation and management across multiple programming languages and environments. Although now archived, mcp-get simplifies environment variable management, package versioning, and server updates to enhance the LLM ecosystem.

  497 103 MCP
• 37
  

  Agentset MCP

  Open-source MCP server for Retrieval-Augmented Generation (RAG) document applications.

  Agentset MCP provides a Model Context Protocol (MCP) server designed to power context-aware, document-based applications using Retrieval-Augmented Generation. It enables developers to rapidly integrate intelligent context retrieval into their workflows and supports integration with AI platforms such as Claude. The server is easily installable via major JavaScript package managers and supports environment configuration for namespaces, tenant IDs, and tool descriptions.

  22 10 MCP
• 38
  

  @bldbl/mcp

  Official MCP client for integrating AI assistants with Buildable projects.

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

  8 7 MCP
• 39
  

  NebulaBlock API MCP Server

  Expose NebulaBlock API as tools for MCP-compatible environments

  NebulaBlock API MCP Server provides an implementation of the Model Context Protocol (MCP), enabling seamless integration of the NebulaBlock API as accessible tools. It leverages the fastmcp library and supports both command-line and environment variable API key configuration. Designed with MCP compatibility in mind, it offers a server interface for programmatic and tool-based interactions within any MCP-compliant system.

  1 2 MCP
• 40
  

  Gin-MCP

  Zero-Config Bridge Between Gin APIs and Model Context Protocol (MCP)

  Gin-MCP enables seamless integration of existing Gin-based APIs with Model Context Protocol, allowing endpoints to be automatically exposed as MCP-compatible tools. It offers zero-configuration setup and intelligent discovery of Gin routes, inferring schemas for instant usability with MCP clients like Cursor, Claude Desktop, Continue, and Zed. Developers can easily mount an MCP server onto any Gin application, benefiting from selective exposure and customizable schema registration. The library is designed for maximum productivity with minimal setup or code changes.

  62 13 MCP
• 41
  

  GitHub Repos Manager MCP Server

  Token-based, high-performance GitHub automation for MCP clients.

  GitHub Repos Manager MCP Server offers a comprehensive Model Context Protocol (MCP) server for managing GitHub repositories via direct API integration. It enables MCP clients such as Claude Desktop, Roo Code, and Cursor to automate GitHub workflows using just a personal access token, without the need for Docker. With 89 tools, users can handle repository management, issue tracking, collaboration, and advanced configuration with fine-grained control. The server is optimized for simplicity, security, and powerful automation through flexible tool management and granular access permissions.

  13 4 MCP
• 42
  

  MCP Swagger Server (mss)

  Seamlessly convert OpenAPI/Swagger specs into Model Context Protocol tools for AI integration.

  MCP Swagger Server converts OpenAPI/Swagger API specifications into Model Context Protocol (MCP) compatible tools, enabling REST APIs to become directly callable by AI systems. It supports zero-configuration conversion, multiple transport protocols (SSE, Streamable, Stdio), and secure API access through Bearer Token authentication. The tool offers an interactive command-line interface and configuration options to filter operations, customize transports, and manage API security. Its modular structure includes OpenAPI parsing, web UI, and backend services.

  38 8 MCP
• 43
  

  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
• 44
  

  ServeMyAPI

  Securely manage and serve API keys via macOS Keychain with an MCP interface

  ServeMyAPI is a personal Model Context Protocol (MCP) server designed for macOS, enabling secure storage and access of API keys via the macOS Keychain. It provides both CLI and server interfaces for managing keys and supports stdio and HTTP/SSE transports for seamless integration with various clients. The tool allows natural language interaction and centralized, cross-project key management, aiming to improve developer workflows and AI assistant collaborations. ServeMyAPI eliminates common issues with environment files by offering secure, visible, and AI-accessible key storage.

  23 5 MCP
• 45
  

  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
• 46
  

  Sequa MCP

  Bridge Sequa's advanced context engine to any MCP-capable AI client.

  Sequa MCP acts as a seamless integration layer, connecting Sequa’s knowledge engine with various AI coding assistants and IDEs via the Model Context Protocol (MCP). It enables tools to leverage Sequa’s contextual knowledge streams, enhancing code understanding and task execution across multiple repositories. The solution provides a simple proxy command to interface with standardized MCP transports, supporting configuration in popular environments such as Cursor, Claude, VSCode, and others. Its core purpose is to deliver deep, project-specific context to LLM agents through a unified and streamable endpoint.

  16 3 MCP
• 47
  

  MCP Language Server

  Bridge codebase navigation tools to AI models using MCP-enabled language servers.

  MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.

  1,256 94 MCP
• 48
  

  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
• 49
  

  Taskade MCP

  Tools and server for Model Context Protocol workflows and agent integration

  Taskade MCP provides an official server and tools to implement and interact with the Model Context Protocol (MCP), enabling seamless connectivity between Taskade’s API and MCP-compatible clients such as Claude or Cursor. It includes utilities for generating MCP tools from any OpenAPI schema and supports the deployment of autonomous agents, workflow automation, and real-time collaboration. The platform promotes extensibility by supporting integration via API, OpenAPI, and MCP, making it easier to build and connect agentic systems.

  90 20 MCP
• 50
  

  mcp-server-atlassian-confluence

  Seamlessly connect AI assistants to your Atlassian Confluence knowledge base.

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

  39 20 MCP