Developer Tools MCP Servers

Registry and proxy that federates MCP, A2A, and API services for AI observability.

Perform iOS and macOS project builds via AI-driven command execution.

Build .NET-based MCP clients and servers with modular library components.

Execute MCP protocol operations directly from your terminal using shell commands.

Build MCP-compliant servers and clients using a high-performance Python framework.

Build MCP servers and clients using TypeScript for Node.js, Bun, and Deno.

Rust development for MCP servers with full async protocol implementation.

Java applications interface with AI models via standardized protocol tools.

Financial data and reporting access for your AI assistant via QuickBooks Online API.

Unified aggregator and gateway for MCP services configured via Docker environments.

Build MCP-compliant servers and clients using native Ruby programming patterns.

Command-line interface for discovering, testing, and managing MCP server tools and resources.

MCP servers are orchestrated, generated into CLIs, and type-checked via TypeScript.

Unified management and routing for multiple MCP servers via HTTP/SSE endpoints.

Centralized management for local and remote MCP server connections and configurations.

Postman workspaces, collections, and environments within AI coding assistants.

Expose MCP tools as OpenAPI-compatible HTTP servers for RESTful agent integration.

Neovim integration for managing and testing Model Context Protocol servers.

A demonstration server designed to showcase all features of the MCP protocol.

Aggregate multiple MCP servers and manage OAuth tokens through a single HTTP entrypoint.

AI assistant and MCP client providing multi-model support across diverse AI providers.

Centralized gateway to manage and route multiple MCP servers through one endpoint.

Coordinate multiple MCP servers via a unified REST API and single endpoint hub.

WebAssembly-based plugins enable extensible AI server capabilities.

OpenAI API interfaces bridged to Model Context Protocol tools for broader compatibility.

JetBrains IDE interactions for MCP clients via this legacy proxy server.

Containerized orchestration and visual management for MCP service architectures.

Stateless MCP communication through a pure Bash runtime implementation.

Terminal-based LLM interface for executing prompts and MCP server connections.

Chat interface for MCP servers using HTTP and SSE transports.

Control iOS simulator instances, install apps, and capture screens via MCP.

Repository knowledge graphs enable semantic search and dependency analysis for AI models.

Language Server Protocol integration for LLM-powered code analysis and suggestions.

GDB debugging sessions managed through AI, enabling breakpoints and memory inspection.

Control live Chrome browsers to debug, automate, and analyze performance.

Build and test iOS Xcode workspaces or projects directly from your AI agent interface.

OpenAPI V3 specifications converted into fully functional MCP servers.

Manage files, execute terminal processes, and automate tasks directly via AI agents.

iOS simulator interface for AI agents to retrieve data and automate UI interactions.

Semantic code analysis and refactoring tools for AI-driven coding agents.

Jupyter Notebook management and real-time execution control for AI agents.

Multiple MCP server aggregation into one interface for client compatibility.

Terminal commands executed through a categorized validation and directory whitelist pipeline.

3D modeling and scene manipulation in Blender from AI assistant interfaces.

Domain management tools for retrieving lists, checking availability, and setting DNS.

Terminal session management for Claude Desktop enabling control of panes and windows.

Mobile proxies, SMS verifications, and eSIM plans via 28 dedicated AI tools.

Terminal session access enabling AI agents to read, write, and execute commands in iTerm2.

Automate the installation of npm and PyPi-based MCP servers directly via chat prompts.

App Store Connect API data interaction for AI, managing apps, beta testers, and metadata.