"C# Azure .NET development assistance" matching MCP servers:

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

Enables simulation and analysis of M/M/1 and M/M/c queuing systems using SimPy, with tools for parameter validation, theoretical metric calculation, simulation execution, and comparison of separate vs pooled queue strategies.

The server integrates with the free IMF data API and provides various features to facilitate data retrieval and analysis. The server is built using the FastMCP framework and offers the following functionalities:

Enables MCP clients to retrieve audited New Zealand vehicle records with full evidence, provenance, confidence, conflict state, revision history, and exact source observations through read-only tools.

Enables business intelligence chart creation and visualization using Vega-Lite, with data loading and processing capabilities.

An MCP server that guides Copilot to version-correct documentation and source code for Industrial Ecology Python packages, enabling reliable, environment-aware coding assistance for LCA workflows.

A TypeScript MCP server for Pokémon Champions battle assistance, providing tools for meta analysis, Pokémon options, stat calculations, damage checks, and spread optimization.

Enables querying the WormBase database for C. elegans and nematode genomics data, including gene information, protein sequences, phenotypes, interactions, and expression patterns through natural language.

A model context protocol server designed for AI development and QA, providing AntV document context and code examples.

Read-only Model Context Protocol tools for evidence-based development cooperation and ODA research.

Provides a six-tool research-assistance workflow for CRC-LNM cases using precomputed CT, pathology features, and clinical values. Enables multimodal analysis and research queries on deidentified cases.

Enables academic paper search and analysis through the AMiner API. Supports keyword, author, and venue-based searches with advanced filtering and citation data for research assistance.

Provides query capabilities for global economic and social development data from the World Bank Open Data API.

MCP server for Gramps Web. Gives AI agents structured, tool-based access to family trees through the Model Context Protocol. Built with .NET 8.

Enables LLMs and MCP clients to execute Python and C++ code using ROOT's PyROOT interface, with support for graphics and error detection.

Reference data layer for prediction markets: resolution-clarity grades (A/B/C), named resolution sources with provenance, cross-venue linking, and per-contract eligibility screens across Kalshi and Polymarket. Open,read-only, no key required.

A local MCP server that gives an LLM agent read access to the WG21 (ISO C++) committee wiki as a verifiable source of truth, requiring authentication and providing exact wikitext with provenance.

A comprehensive MCP server for Reddit that provides 8 tools for fetching posts, comments, and subreddit info, plus a REST API and Azure deployment support.

US election forecasts with a public accuracy record — win probabilities for every 2026 Senate, House and Governor race, congressional voting records and net worth, and difficulty-adjusted accuracy ratings for 61 forecasters, pollsters and prediction markets.

Enables AI-powered academic paper discovery, search, and analysis from arXiv with advanced features like semantic search, citation network analysis, and multi-format exports (BibTeX, RIS, JSON, CSV). Provides intelligent research assistance through specialized AI prompts for summarization, trend tracking, and literature review automation.