@bldbl/mcp - 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
  

  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
• 3
  

  dbt MCP Server

  Bridge dbt projects and AI agents with rich project context.

  dbt MCP Server provides an implementation of the Model Context Protocol for dbt projects, enabling seamless integration between dbt and AI agents. It allows agents to access and understand the context of dbt Core, dbt Fusion, and dbt Platform projects. The tool supports connection to external AI products and offers resources for building custom agents. Documentation and examples are provided to facilitate adoption and integration.

  420 90 MCP
• 4
  

  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
• 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
  

  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
• 7
  

  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
• 8
  

  MCP Claude Code

  Claude Code-like functionality via the Model Context Protocol.

  Implements a server utilizing the Model Context Protocol to enable Claude Code functionality, allowing AI agents to perform advanced codebase analysis, modification, and command execution. Supports code understanding, file management, and integration with various LLM providers. Offers specialized tools for searching, editing, and delegating tasks, with robust support for Jupyter notebooks. Designed for seamless collaboration with MCP clients including Claude Desktop.

  281 33 MCP
• 9
  

  mcp-server-atlassian-bitbucket

  Seamlessly connect AI assistants to your Bitbucket repositories for smart code insights and workflow automation.

  mcp-server-atlassian-bitbucket enables direct integration of AI assistants such as Claude and Cursor AI with Bitbucket repositories, pull requests, and code. It provides instant code insights, automates code reviews, and supports a variety of repository management actions via natural language commands. The tool utilizes Model Context Protocol (MCP) to standardize AI interaction with repository context data. It offers support for Bitbucket's new Scoped API Tokens and legacy app passwords for authentication.

  84 39 MCP
• 10
  

  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
• 11
  

  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
• 12
  

  GitMCP

  Instantly turn any GitHub repository into an AI-ready documentation hub.

  GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that gives AI assistants real-time access to the latest documentation and code from any GitHub repository. It transforms any GitHub project into an accessible documentation hub, enabling AI tools to deliver accurate results, reduce hallucinations, and improve code correctness. Supporting both specific and generic server modes, it allows seamless integration into developer workflows with zero setup. GitMCP emphasizes privacy, flexibility, and up-to-date information retrieval.

  6,916 571 MCP
• 13
  

  Shrimp Task Manager

  Intelligent task management for AI-powered development workflows.

  Shrimp Task Manager is an MCP (Model Context Protocol) server designed to enhance AI-driven software development by persisting project context, breaking down complex tasks, and guiding structured workflows. It integrates with MCP-compatible clients such as Claude Code to maintain task memory across sessions and streamline planning and execution. The system enables persistent memory, context preservation, and automated task decomposition, helping AI models work more efficiently and effectively within project constraints.

  1,868 230 MCP
• 14
  

  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
• 15
  

  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
• 16
  

  MCP-Typescribe

  An MCP server for serving TypeScript API context to language models.

  MCP-Typescribe is an open-source implementation of the Model Context Protocol (MCP) focused on providing LLMs with contextual, real-time access to TypeScript API documentation. It parses TypeScript (and other) definitions using TypeDoc-generated JSON and serves this information via a queryable server that supports tools used by AI coding assistants. The solution enables AI agents to dynamically explore, search, and understand unknown APIs, accelerating onboarding and supporting agentic behaviors in code generation.

  45 6 MCP
• 17
  

  mcp-server-atlassian-jira

  Seamlessly connect AI assistants to Jira for project and issue management via Model Context Protocol.

  Enables AI assistants like Claude and Cursor to interact directly with Atlassian Jira projects, issues, and workflows using the Model Context Protocol (MCP). Provides standardized context and actions such as querying project status, searching issues, and managing comments through a command-line MCP server. Designed for integration with multiple AI tools, allowing natural language project interaction and instant workflow insights.

  39 16 MCP
• 18
  

  Mastra

  A TypeScript framework for building scalable AI-powered agents and applications.

  Mastra is a modern TypeScript-based framework designed for developing AI-powered applications and autonomous agents. It offers model routing to integrate over 40 AI providers, a graph-based workflow engine, advanced context management, and production-ready tools for observability and evaluation. Mastra features built-in support for authoring Model Context Protocol (MCP) servers, enabling standardized exposure of agents, tools, and structured AI resources via the MCP interface.

  18,189 1,276 MCP
• 19
  

  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
• 20
  

  Webvizio MCP Server

  Bridge between Webvizio feedback and AI coding agents via the Model Context Protocol

  Webvizio MCP Server is a TypeScript-based server implementing the Model Context Protocol to securely and efficiently interface with the Webvizio API. It transforms web page feedback and bug reports into structured, actionable developer tasks, providing AI coding agents with comprehensive task context and data. It offers methods to fetch project and task details, retrieve logs and screenshots, and manage task statuses. The server standardizes communication between Webvizio and AI agent clients, facilitating automated issue resolution.

  4 4 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
  

  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
• 23
  

  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
• 24
  

  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
• 25
  

  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
• 26
  

  Bifrost

  VSCode Dev Tools exposed via the Model Context Protocol for AI tool integration.

  Bifrost is a Visual Studio Code extension that launches a Model Context Protocol (MCP) server, enabling external AI coding assistants to access advanced code navigation, analysis, and manipulation features from VSCode. It exposes language server capabilities, symbol search, semantic code analysis, and refactoring tools through MCP-compatible HTTP and SSE endpoints. The extension is designed for seamless integration with AI assistants, supporting multi-project environments and configuration via JSON files.

  184 33 MCP
• 27
  

  SpaceBridge-MCP

  A Model Context Protocol server for seamless AI-assisted issue management via SpaceBridge.

  SpaceBridge-MCP offers a Model Context Protocol (MCP) server that enables AI assistants and coding tools to interact directly with the SpaceBridge issue aggregation platform. It supports searching, creating, viewing, and updating issues across multiple trackers such as Jira and GitHub, using natural language requests. It also provides automated duplicate detection with LLM-based comparison to streamline issue creation workflows. The server acts as a bridge between AI-powered development environments and issue management systems, enhancing context sharing and productivity.

  5 2 MCP
• 28
  

  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
• 29
  

  Linked API MCP

  Connect LinkedIn to AI assistants for automated engagement and research.

  Linked API MCP enables AI assistants like Claude, Cursor, and VS Code to interact with LinkedIn through a secure cloud browser. It allows automated searching for leads, profile analysis, messaging, and market research on LinkedIn. The solution is designed for sales, recruitment, and market research professionals who want to automate LinkedIn workflows. Integration is streamlined, offering a set of tools accessible to popular AI-powered platforms.

  23 5 MCP
• 30
  

  Lucidity MCP

  Intelligent prompt-based code quality analysis for AI coding assistants.

  Lucidity MCP is a Model Context Protocol (MCP) server that empowers AI coding assistants to deliver high-quality code through intelligent, prompt-driven analysis. It offers comprehensive detection of code issues across multiple quality dimensions, providing structured and actionable feedback. With language-agnostic capabilities, extensible framework, and flexible transport options, Lucidity MCP seamlessly integrates into developer workflows and AI systems.

  72 20 MCP
• 31
  

  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
• 32
  

  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
• 33
  

  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
• 34
  

  Xcode MCP Server

  Comprehensive Xcode integration server for AI assistants using the Model Context Protocol.

  Xcode MCP Server provides an MCP-compliant interface for AI agents to interact with Xcode projects on macOS. It supports project management, simulator control, CocoaPods and Swift Package Manager integration, and advanced file and build operations. Enhanced error handling and multi-project support enable seamless automation and context management for complex Xcode workflows.

  330 21 MCP
• 35
  

  21st.dev Magic AI Agent

  Instantly create and enhance UI components through natural language in your IDE.

  21st.dev Magic AI Agent enables developers to generate, preview, and integrate modern UI components using natural language commands directly within popular IDEs. It leverages the Model Context Protocol for seamless interoperability, supporting automated installation and configuration across tools like VSCode, Cursor, Windsurf, and Cline. With a vast library based on 21st.dev assets and advanced features such as TypeScript support and real-time previews, it streamlines the UI development workflow. The solution also supports customization, enhancements, and integration of brand assets through SVGL.

  3,919 260 MCP
• 36
  

  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
• 37
  

  QGISMCP

  Integrate QGIS with Claude AI via Model Context Protocol

  QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), enabling seamless two-way communication between the GIS platform and the AI assistant. It features a QGIS plugin that sets up a socket server and a dedicated MCP server for processing commands, facilitating tasks such as project manipulation, layer management, and Python code execution directly from Claude. This integration empowers users to streamline project creation, layer loading, and advanced automation within QGIS through AI-driven interaction.

  691 99 MCP
• 38
  

  GameBrain MCP API Clients

  Easily connect to the GameBrain MCP server with customizable client configuration.

  GameBrain MCP API Clients enables users to seamlessly integrate with the GameBrain Model Context Protocol (MCP) server by providing a ready-to-use configuration and client setup. Users can generate a free API key and connect to the server with minimal setup using the supplied JSON config. The tool is designed to facilitate standardized access and communication with remote model context providers.

  2 2 MCP
• 39
  

  Firefly MCP Server

  Seamless resource discovery and codification for Cloud and SaaS with Model Context Protocol integration.

  Firefly MCP Server is a TypeScript-based server implementing the Model Context Protocol to enable integration with the Firefly platform for discovering and managing resources across Cloud and SaaS accounts. It supports secure authentication, resource codification into infrastructure as code, and easy integration with tools such as Claude and Cursor. The server can be configured via environment variables or command line and communicates using standardized MCP interfaces. Its features facilitate automation and codification workflows for cloud resource management.

  15 6 MCP
• 40
  

  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
• 41
  

  Mindpilot MCP

  Visualize and understand code structures with on-demand diagrams for AI coding assistants.

  Mindpilot MCP provides AI coding agents with the capability to visualize, analyze, and understand complex codebases through interactive diagrams. It operates as a Model Context Protocol (MCP) server, enabling seamless integration with multiple development environments such as VS Code, Cursor, Windsurf, Zed, and Claude Code. Mindpilot ensures local processing for privacy, supports multi-client connections, and offers robust configuration options for server operation and data management. Users can export diagrams and adjust analytics settings for improved user control.

  61 8 MCP
• 42
  

  deploy-mcp

  Universal Deployment Tracker for AI Assistants

  deploy-mcp offers a universal tool for tracking and monitoring deployments across various platforms within AI conversation environments. It eliminates the need for dashboard navigation by integrating deployment status and management directly into AI assistants via a standardized protocol. The tool supports multiple platforms such as Vercel, Netlify, and Cloudflare Pages, allowing for real-time monitoring and multi-platform configuration using secure tokens. Its streamlined setup enables users to check deployment status, view logs, and monitor progress through conversational commands.

  3 2 MCP
• 43
  

  Todoist MCP Server

  Natural language Todoist management for Claude via MCP.

  Todoist MCP Server enables integration of Claude with Todoist, allowing users to manage their tasks using natural language commands. It implements the Model Context Protocol (MCP), providing tools for creating, updating, completing, and deleting tasks through conversational input. The server supports smart search, flexible filtering, and rich task attribute handling, aiming to streamline task management with intuitive error feedback.

  323 63 MCP
• 44
  

  Unity MCP

  AI-powered game development assistant bridging MCP and Unity.

  Unity MCP serves as an AI-powered assistant for game developers, acting as a bridge between MCP clients and the Unity engine. It enables natural chat-based interactions to perform various development tasks using large language models from multiple providers. The system offers tools for code assistance, debugging, and flexible deployment options, supporting both local and remote workflows. Its extensibility allows for the creation of custom MCP tools to enhance developer productivity in the Unity environment.

  510 53 MCP
• 45
  

  Gradle MCP Server

  MCP server for programmatic Gradle project inspection and task execution.

  Gradle MCP Server acts as a Model Context Protocol (MCP) server enabling AI tools to interact with Gradle projects through structured APIs. It allows clients to inspect project details, execute Gradle tasks, and run tests while retrieving detailed results in JSON format. This server supports both information querying and task orchestration, designed to integrate with platforms like VSCode extensions and Claude Desktop. It leverages the Gradle Tooling API to provide comprehensive build and test insights.

  38 4 MCP
• 46
  

  Advanced Unity MCP from Code Maestro

  Control Unity with AI through natural language commands.

  Advanced Unity MCP from Code Maestro enables direct interaction with the Unity Editor using natural language commands powered by AI. It bridges AI assistants like Code Maestro Desktop App, GitHub Copilot, Cursor, and others to the Unity Editor using the Model Context Protocol (MCP). Users can automate Unity tasks such as asset management, scene configuration, building projects, and more without manual intervention. The system supports both direct and relay server connections for flexible integration with various AI clients.

  70 5 MCP
• 47
  

  Crypto Projects MCP Server

  AI-accessible server that delivers comprehensive cryptocurrency project data in structured formats.

  Crypto Projects MCP Server provides AI agents with detailed cryptocurrency project data sourced from Mobula.io, accessible via the Model Context Protocol (MCP). It offers both raw JSON and formatted Markdown outputs, making project information easy to parse and consume by large language models. The server features language customization and returns organized details including price, market data, tokenomics, links, investors, and more. Integration with tools like Claude Desktop is supported for seamless AI interactions.

  0 10 MCP
• 48
  

  Context Apps MCP

  AI-powered productivity suite unified by the Model Context Protocol.

  Context Apps MCP is an AI-powered productivity suite that connects Todo, Idea, Journal, and Timer applications through the Model Context Protocol, enabling smart, context-driven workflows with apps like Claude Desktop and other MCP-compatible clients. It allows users to manage tasks, develop ideas, analyze journals, and optimize productivity using AI, all accessible and integrated via MCP-compliant endpoints. The suite ensures secure authentication via Apple ID OAuth, provides end-to-end encrypted communication, and offers users complete control over their data.

  5 2 MCP
• 49
  

  MCP Zotero

  Model Context Protocol server for seamless Zotero integration with AI tools.

  MCP Zotero provides a Model Context Protocol server enabling AI models such as Claude to access and interact with Zotero libraries. Users can securely link their Zotero accounts and perform actions including listing collections, retrieving papers, searching the library, and getting details about specific items. Integration is designed for both standalone operation and as an extension for tools like Claude Desktop.

  137 17 MCP
• 50
  

  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