".NET Programming Development" matching MCP servers:

MCP server for .NET assembly analysis. Vendor-neutral wrapper around AsmResolver and ILSpy for parsing and decompiling .NET assemblies.

MCP server that exposes the i-net HelpDesk Ticket Web-API as tools for AI agents, enabling ticket search, reading, creation, and actions like replying, closing, and escalating, with attachment support.

Enables AI programming tools to query AScript API documentation and control real Android/iOS devices for automation scripting, including device interaction, development deployment, and file management.

Enables AI assistants to discover, retrieve, and compare official international development indicators from sources such as the World Bank, FAOSTAT, WHO, UNICEF, and IMF, while preserving source identifiers, units, and citations.

Provides reference documentation for REAPER development, including ReaScript API, JSFX programming, and ReaWrap API, with tools to search and query function information to prevent redundant token usage.

Provides 23 modular tools for competitive programming, including problem analysis, algorithm planning, code generation, verification, testing, code review, and learning assistance.

Enables natural language conversion of production and queueing systems into Petri net models, with simulation and PNML export via MCP tools.

An MCP server that generates project-specific .gitignore files and lists available templates using the gitignore.io API. It allows users to streamline project configuration by creating customized ignore files for various programming languages and development environments.

Provides access to government development, geography and land information data through a FastMCP interface, including data on new building plans processed by the Building Authority.

AiDD MCP Server provides a secure interface for AI agents to perform file system operations and code analysis, enhancing AI-assisted development workflows across multiple programming languages.

Provides 7 MCP servers with 95 tools for git, GitHub, .NET, Ollama, Rust, template sync, and Python, enabling natural-language commands to perform real development operations.

Enables AI assistants to drive Xilinx Vivado, Intel Quartus, and Anlogic TangDynasty for FPGA development, including project creation, synthesis, implementation, timing closure, and hardware programming through natural language.

Provides instant access to 700+ programming documentation sources and creates isolated Docker containers for safe code testing and experimentation. Combines comprehensive documentation lookup with containerized development environments for enhanced development workflows.

Provides coding tutoring by running checks for common programming tasks (palindrome, prime, Fibonacci, GCD, etc.) and explaining the results in plain language.

Transforms code repositories and development documentation into a queryable Neo4j knowledge graph, enabling AI assistants to perform intelligent code analysis, dependency mapping, impact assessment, and automated documentation generation across 15+ programming languages.

Enables automated game development by orchestrating multi-agent teams (design, programming, 2D/3D art, supervision, QA) through LangGraph and an MCP gateway that drives Blender, Krita, Godot, and Git to produce runnable game builds.

Enables AI applications to solve optimization problems including linear programming, mixed-integer programming, and quadratic programming using the Gurobi solver installed on the local device.

Provides AI agents with professional coding standards, development best practices, and context-aware guidance through static documentation and AI-powered custom recommendations. Enables agents to access comprehensive development guidelines including coding rules, debugging techniques, and AI steering instructions.

Enables AI-powered PLC programming with natural language to ladder logic conversion, L5X and .ACD project generation, and semantic search through L5X files and documentation.

Enables AI agents to programmatically create and manipulate Qt-based visual programming flows, including device model parsing and port connection, through natural language.