Weblate MCP Server - Alternatives & Competitors

Ranked by Relevance

• 1
  

  Lara Translate MCP Server

  Context-aware translation server implementing the Model Context Protocol.

  Lara Translate MCP Server enables AI applications to seamlessly access professional translation services via the standardized Model Context Protocol. It supports features such as language detection, context-aware translations, and translation memory integration. The server acts as a secure bridge between AI models and Lara Translate, managing credentials and facilitating structured translation requests and responses.

  76 13 MCP
• 2
  

  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
• 3
  

  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
• 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
  

  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
• 6
  

  Notion MCP Server

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

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

  834 154 MCP
• 7
  

  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
• 8
  

  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
• 9
  

  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
• 10
  

  piapi-mcp-server

  TypeScript-based MCP server for PiAPI media content generation

  piapi-mcp-server is a TypeScript implementation of a Model Context Protocol (MCP) server that connects with PiAPI to enable media generation workflows from MCP-compatible applications. It handles image, video, music, TTS, 3D, and voice generation tasks using a wide range of supported models like Midjourney, Flux, Kling, LumaLabs, Udio, and more. Designed for easy integration with clients such as Claude Desktop, it includes an interactive MCP Inspector for development, testing, and debugging.

  62 23 MCP
• 11
  

  @growi/mcp-server

  Bridge GROWI wiki content to AI models with context-aware access and management.

  @growi/mcp-server acts as a Model Context Protocol (MCP) server that enables AI models to access, search, and manage GROWI wiki content within an organization. It facilitates seamless connection between multiple GROWI instances and language models, enhancing information retrieval and knowledge management capabilities. The platform provides comprehensive tools for page, tag, comment, and revision management as well as share link and user activity tracking. Its flexible configuration allows simultaneous operation with several GROWI apps for scalable deployment.

  10 7 MCP
• 12
  

  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
• 13
  

  Google Workspace MCP Server

  Full natural language control of Google Workspace through the Model Context Protocol.

  Google Workspace MCP Server enables comprehensive natural language interaction with Google services such as Calendar, Drive, Gmail, Docs, Sheets, Slides, Forms, Tasks, and Chat via any MCP-compatible client or AI assistant. It supports both single-user and secure multi-user OAuth 2.1 authentication, providing a production-ready backend for custom apps. Built on FastMCP, it delivers high performance and advanced context handling, offering deep integration with the entire Google Workspace suite.

  890 259 MCP
• 14
  

  Make MCP Server (legacy)

  Enable AI assistants to utilize Make automation workflows as callable tools.

  Make MCP Server (legacy) provides a Model Context Protocol (MCP) server that connects AI assistants with Make scenarios configured for on-demand execution. It parses and exposes scenario parameters, allowing AI systems to invoke automation workflows and receive structured JSON outputs. The server supports secure integration through API keys and facilitates seamless communication between AI and Make's automation platform.

  142 39 MCP
• 15
  

  Azure DevOps MCP Server

  Standardized AI access to Azure DevOps via Model Context Protocol.

  Implements the Model Context Protocol (MCP) to enable AI assistants to securely and efficiently interact with Azure DevOps resources. Provides a standardized bridge for managing projects, work items, repositories, pull requests, and pipelines through natural language interfaces. Supports modular authentication and a feature-based architecture for scalability and integration. Facilitates seamless integration with AI tools such as Claude Desktop and Cursor AI.

  306 93 MCP
• 16
  

  Unichat MCP Server

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

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

  37 10 MCP
• 17
  

  Wanaku MCP Router

  A router connecting AI-enabled applications through the Model Context Protocol.

  Wanaku MCP Router serves as a middleware router facilitating standardized context exchange between AI-enabled applications and large language models via the Model Context Protocol (MCP). It streamlines context provisioning, allowing seamless integration and communication in multi-model AI environments. The tool aims to unify and optimize the way applications provide relevant context to LLMs, leveraging open protocol standards.

  87 32 MCP
• 18
  

  Azure MCP Server

  Connect AI agents with Azure services through Model Context Protocol.

  Azure MCP Server provides a seamless interface between AI agents and Azure services by implementing the Model Context Protocol (MCP) specification. It enables integration with tools like GitHub Copilot for Azure and supports a wide range of Azure resource management tasks directly via conversational AI interfaces. Designed for extensibility and compatibility, it offers enhanced contextual capabilities for agents working with Azure environments.

  1,178 351 MCP
• 19
  

  Contentful MCP Server

  Community-driven MCP server for advanced Contentful content management.

  Contentful MCP Server is an implementation of the Model Context Protocol (MCP) designed to provide seamless integration with Contentful’s Content Management API. It enables full CRUD operations for entries and assets, facilitates comment and space management, and supports bulk asynchronous operations. With features like smart pagination and localization, it aims to optimize LLM context handling and streamline workflows for content-rich applications.

  61 18 MCP
• 20
  

  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
• 21
  

  mcp-miro

  Model Context Protocol server for integrating MIRO Whiteboard with AI workflows.

  mcp-miro is a Model Context Protocol (MCP) compliant server that connects the MIRO Whiteboard Application to AI-based systems, such as Claude Desktop. It enables board manipulation, sticky note creation, bulk operations, and more through standardized MCP interfaces. Users can authenticate via OAuth and interact with MIRO boards programmatically for collaborative whiteboarding and automation tasks. The server can be installed using Smithery or mcp-get and supports debugging with the MCP Inspector.

  97 31 MCP
• 22
  

  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
• 23
  

  TickTick MCP

  MCP server for AI-powered TickTick task management integration

  TickTick MCP is a Model Context Protocol (MCP) server that enables standardized integration of TickTick's task management features with AI assistants and developer applications. It allows programmatic access to create, update, retrieve, complete, or delete tasks and projects in TickTick via Python. Using this MCP server, AI systems can leverage TickTick's API to help automate and manage user's to-do lists and projects through natural language or other interfaces.

  6 6 MCP
• 24
  

  Transcribe MCP

  Automate audio transcription with seamless AI assistant integration.

  Transcribe MCP enables fast and high-quality audio transcriptions by integrating directly with AI assistants such as Claude, Windsurf, and Cursor. It supports both local and cloud-based workflows, offering features like word-level timestamps, speaker separation, and multi-language support. Installation is streamlined via pre-built MCP Bundles and secure integration URLs. The system also provides convenient management of balance, transcription content, and collaboration options.

  5 3 MCP
• 25
  

  mcp-graphql

  Enables LLMs to interact dynamically with GraphQL APIs via Model Context Protocol.

  mcp-graphql provides a Model Context Protocol (MCP) server that allows large language models to discover and interact with GraphQL APIs. The implementation facilitates schema introspection, exposes the GraphQL schema as a resource, and enables secure query and mutation execution based on configuration. It supports configuration through environment variables, automated or manual installation options, and offers flexibility in using local or remote schema files. By default, mutation operations are disabled for security, but can be enabled if required.

  319 54 MCP
• 26
  

  Confluence Communication Server MCP Server

  Seamlessly interact with Confluence using standardized MCP tools.

  Confluence Communication Server MCP Server is a TypeScript-based implementation that enables seamless interaction with Confluence through the Model Context Protocol. It provides tools for running CQL queries, retrieving, and updating Confluence page content, thus showcasing and adhering to core MCP concepts. The server is compatible with Claude Desktop and supports installation via Smithery, emphasizing ease of integration and automation for Confluence management tasks.

  13 6 MCP
• 27
  

  TeslaMate MCP Server

  Query your TeslaMate data using the Model Context Protocol

  TeslaMate MCP Server implements the Model Context Protocol to enable AI assistants and clients to securely access and query Tesla vehicle data, statistics, and analytics from a TeslaMate PostgreSQL database. The server exposes a suite of tools for retrieving vehicle status, driving history, charging sessions, battery health, and more using standardized MCP endpoints. It supports local and Docker deployments, includes bearer token authentication, and is intended for integration with MCP-compatible AI systems like Claude Desktop.

  106 14 MCP
• 28
  

  mcp-installer

  Automated installer for MCP servers across multiple languages.

  mcp-installer provides a server that automates the installation of other Model Context Protocol (MCP) servers. It supports installation of MCP servers hosted on npm and PyPi by leveraging tools like npx and uv. The tool is designed to integrate with AI assistants like Claude, enabling users to request remote installations of MCP servers with custom arguments and environment configurations. Its primary goal is to simplify the deployment and management of MCP-compliant servers for various workflows.

  1,457 193 MCP
• 29
  

  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
• 30
  

  Raindrop.io MCP Server

  Enable LLMs to manage and search Raindrop.io bookmarks via the Model Context Protocol.

  Raindrop.io MCP Server is an integration that allows large language models to interact with Raindrop.io bookmarks using the Model Context Protocol. It provides tools to create and search bookmarks, including filtering by tags, and is designed for interoperability with environments like Claude for Desktop. Installation can be done via Smithery or manually, and configuration is managed through environment variables. The project is open source and optimized for secure, tokenized access to Raindrop.io.

  63 15 MCP
• 31
  

  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
• 32
  

  CapsuleCRM MCP Server

  Natural language access and management for CapsuleCRM via MCP.

  CapsuleCRM MCP Server connects Claude AI directly to CapsuleCRM, enabling users to interact with their CRM using natural language. It allows for powerful searching, filtering, insights, and automation of tasks within the CRM. The platform provides capabilities such as customer management, sales pipeline tracking, and task management, all securely integrated via the CapsuleCRM API. This tool enhances CRM workflows by translating conversational commands into actionable CRM operations through the Model Context Protocol.

  0 2 MCP
• 33
  

  AtomGit MCP Server

  AI-powered management and automation of AtomGit repositories via the Model Context Protocol.

  AtomGit MCP Server implements the Model Context Protocol to enable AI-driven management and automation of AtomGit open collaboration platform repositories. It offers methods for managing repositories, issues, pull requests, branches, and labels, allowing seamless AI interaction with AtomGit. The server supports integration with platforms like Claude and VSCode, providing a standardized interface for AI to orchestrate complex collaboration workflows. Built with Node.js and easily deployable via npx or from source, it focuses on expanding collaborative capabilities using AI agents.

  7 4 MCP
• 34
  

  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
• 35
  

  Things MCP Server

  Seamless Model Context Protocol integration for managing Things app todos and projects.

  Things MCP Server enables AI assistants to interact with the Things productivity app using the Model Context Protocol (MCP). It offers comprehensive support for Things' URL scheme, allowing creation, updating, and management of todos and projects through standardized commands. The server supports batch operations, advanced organization features, and natural language scheduling, making task automation efficient for MCP-compatible clients.

  6 3 MCP
• 36
  

  attio-mcp-server

  MCP server for enabling Attio CRM access via AI model context clients.

  attio-mcp-server implements a Model Context Protocol (MCP) server that facilitates communication between MCP clients, such as Claude, and the Attio CRM API. It enables reading and writing company notes and records within Attio by leveraging a bearer token for authentication. Designed for Node.js, it provides streamlined integration with Attio for applications utilizing AI-driven model context protocols.

  16 24 MCP
• 37
  

  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
• 38
  

  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
• 39
  

  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
• 40
  

  Yuque-MCP-Server

  Seamless integration of Yuque knowledge base with Model-Context-Protocol for AI model context management.

  Yuque-MCP-Server provides an MCP-compatible server for interacting with the Yuque knowledge base platform. It enables AI models to retrieve, manage, and analyze Yuque documents and user information through a standardized Model-Context-Protocol interface. The server supports operations such as document creation, reading, updating, deletion, advanced search, and team statistics retrieval, making it ideal for AI-powered workflows. Inspired by Figma-Context-MCP, it facilitates contextual awareness and dynamic knowledge management for AI applications.

  31 13 MCP
• 41
  

  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
• 42
  

  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
• 43
  

  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
• 44
  

  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
• 45
  

  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
• 46
  

  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
• 47
  

  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
• 48
  

  Bitcoin & Lightning Network MCP Server

  Enable AI models to safely interact with Bitcoin and Lightning Network in a standardized way.

  The Bitcoin & Lightning Network MCP Server implements the Model Context Protocol, allowing AI models to interface with Bitcoin and Lightning Network functionalities such as key generation, address validation, transaction decoding, blockchain queries, and lightning payments. It provides standardized endpoints for AI model integration, including support for Claude Desktop and Goose. The solution supports querying blockchain data, parsing transactions and invoices, and managing cryptographic operations in a secure and extensible manner.

  65 17 MCP
• 49
  

  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
• 50
  

  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