"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 Claude to list/create research notebooks, add text or URL sources, ask source-grounded questions, and generate studio outputs such as podcasts, videos, slides, mind maps, quizzes, flashcards, reports, and data tables.

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

Enables deep-value stock screening from SEC EDGAR XBRL filings by computing tangible book, NCAV, NNWC and net cash, checking filing-index disqualifiers, and producing equal-weight whole-share allocations and rebalance orders.

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.

Drives a local SCAPS-1D installation to design and edit devices, run J-V/QE/C-V simulations and batches, fit measured curves, and analyze results for thin-film and perovskite solar cells, including realism checks against physical limits.

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.

Local .NET MCP server for the Börsdata financial API. Provides stock prices, KPIs, financial reports, screening, insider transactions, short positions and more. Each user connects with their own Börsdata API key.

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

MCP server for publishing markdown AI research entries to a Convex database. Supports both development and production environments with secure deployment credentials.

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.

Enables querying 29,500+ World Bank development indicators for 200+ countries across 60+ years via MCP, with 7 tools for browsing topics, sources, countries, and indicators.

A Model Context Protocol (MCP) server for Canny feedback management. Enables managing customer feedback, prioritizing features, and streamlining product development through natural language.

Provides tools for lead discovery, company research, email finding, social media search, and CSV export to support AI-driven customer outreach and business development.

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.

A Model Context Protocol server that provides intelligent stock data assistance through Tushare's financial data API, enabling users to query comprehensive stock information, financial data, and market indices through natural language.

Enables querying the O*NET occupation taxonomy, including keyword search, occupation details, skills, and associated tools and technology.

Enables AI assistants to size hybrid renewable energy systems by simulating candidate designs hour-by-hour for a full year, filtering out constraint violations, and ranking remaining options by net present cost and related techno-economic metrics.