"Debugging WebRTC SDK Implementation Issues in Visual Studio 2019" matching MCP servers:

Enables academic research through paper search across multiple databases (IACR, CryptoBib, Crossref, Google Scholar), PDF processing, and GitHub repository browsing. Features modular architecture with FastMCP-based proxy server routing to specialized academic tools.

Enables AI assistants to retrieve real-time and historical market data for A-share, Hong Kong, and US equities, funds, futures, and options, including K-lines, technical indicators (MA/MACD/BOLL/KDJ/RSI), sector and fund-flow data, and bulk full-market quotes. It also supports composite workflows such as stock analysis, multi-stock comparison, conditional screening, market overviews, and portfolio monitoring through MCP tools, prompts, resources, and skills.

Enables AI hosts to design and simulate complex adaptive systems, including managing agent types, running simulations, and analyzing emergent behavior, feedback loops, and sensitivities.

Enables AI assistants to fetch real-time and historical market data across A-shares, Hong Kong and US equities, funds, futures, and options, including technical indicators, sector and capital-flow data, and trading calendars. It also provides composite analysis tools and built-in prompts/skills for full-stock diagnostics, multi-stock comparison, market overviews, conditional screening, and portfolio monitoring.

Enables AI assistants to access real-time and historical quotes, K-lines, technical indicators, sector, futures, and options data, plus composite stock analysis, market screening, and monitoring workflows across A-shares, Hong Kong, and US markets. It also provides built-in prompts and skills for financial analysis tasks.

MCP server that enables Claude to control Altair AI Studio for data mining and machine learning tasks, including data import, cleaning, transformation, model training, clustering, association rules, and executing saved processes.

Enables AI agents to drive IBM SPSS Statistics for statistical analysis and publication-quality chart generation through natural language, returning structured results and ensuring safe execution.

Enables AI agents to research App Store screenshots and human-reviewed references, then produce evidence-backed messaging, narrative, art-direction briefs, and measurable copy/export QA.

Python-first MCP server for CST Studio Suite (2024–2026) that lets AI assistants drive CST from Windows: open projects, build geometry, set materials and ports, run solvers, read S-parameters and farfield metrics, and generate design reports.

Enables AI agents to run IBM SPSS Statistics on macOS for statistical analyses, generate paper-ready charts, extract structured results, and execute mediation/moderation analyses with safety controls.

Enables AI clients to create and read structured research records—projects, questions, specifications, implementations, executions, artifacts, evidence, evaluations, comparisons, analyses, and reports—through MCP while keeping scientific judgments and approvals human-controlled.

MCP server for BIOVIA Materials Studio 2023 on Windows, providing controlled preparation of Forcite and CASTEP inputs, model building, and LAMMPS/VMD pre-processing with reproducible, auditable workflows and strict scientific boundaries.

Enables an AI agent to set up, run and verify engineering simulations through typed tools — creating or importing cases, setting boundary conditions, running solvers, checking convergence, verifying results against references, and rendering output, with edits appearing live in the GUI. It exposes no shell or code-execution tool.

Enables AI agents to run TimesFM-3 forecasting workflows locally, including joint multivariate forecasting with known future drivers, backtesting against a baseline, what-if scenario comparison, and historical anomaly detection. It exposes the studio's tools and bundled public and synthetic demo datasets over MCP.

Enables AI assistants to access real-time quotes, K-line data, technical indicators, sector/futures/options data, and composite stock analysis across A-share, Hong Kong, US, and fund markets through MCP tools, prompts, and resources.

Enables AI assistants to access real-time stock quotes, K-line data, technical indicators, and sector, futures, and options data across A-share, Hong Kong, US, fund, and related markets. It also provides prompts and skills for stock analysis, screening, market overview, and portfolio monitoring.

Enables AI assistants to access real-time and historical market data for A-shares, Hong Kong and US stocks, funds, futures, and options, calculate technical indicators, screen markets, and perform composite financial analysis through tools, prompts, resources, and skills.

Enables AI assistants to access real-time and historical market data for A-shares, Hong Kong, US stocks, funds, futures, and options, calculate technical indicators, analyze sectors, screen stocks, and monitor portfolios through MCP tools, prompts, and skills.

Enables AI assistants to access real-time and historical market data for A-shares, Hong Kong, US stocks, funds, futures, and options, calculate technical indicators, screen stocks, and perform composite market analysis through MCP tools, prompts, skills, and resources.

Enables AI assistants to query real-time and historical market data for A-shares, Hong Kong, US stocks, funds, futures, options, and sectors, calculate technical indicators, and run screening and composite analysis workflows. It also exposes prompts and resources for stock analysis, market overviews, monitoring, and futures data.

Enables AI assistants and MCP-compatible clients to access real-time and historical market data across A-shares, Hong Kong, US equities, funds, futures, and options, along with technical indicators, sector analysis, screening, prompts, and resources.

Enables AI assistants to query real-time quotes, K-line data, technical indicators, sector and fund flows, plus composite analysis across A-share, Hong Kong, US, fund, futures, and options markets. It also bundles ready-made prompts and skills for stock analysis, screening, market overviews, and portfolio monitoring.

Enables AI agents to generate duration-aware, fact-checked video scripts from topics or transcripts by exposing tools for live news/web research, article fetching, and transcript ingestion, plus resources and style prompt templates.

Read-only MCP server for the July 2026 survey of AI in open-source design systems, enabling agents to query 19 systems' affordances, coercion techniques, and platform data via 9 tools, 2 resources, and 2 prompts.

MCP server for the DAG Studio causal-inference engine, enabling AI agents to construct, analyze, and validate causal directed acyclic graphs (DAGs) through tools for analysis, data simulation, and code generation.

Pay-per-call AI agent APIs on Base via x402. Multiple tools across patents, law, AI, geo, weather, crypto, and more. Always growing.

Enables AI agents to safely execute statistical analyses, parse results into Markdown and JSON, and generate publication-ready charts through a local IBM SPSS Statistics installation on macOS and Windows.

55 Concordance-tested financial models with published specs; responses cite assumptions and sources.

Enables querying the Eurostat dissemination API through read-only tools named eurostat__, returning capped results with release metadata such as source, endpoint, and publication vintage.

Enables querying FAOSTAT statistics through read-only tools whose results are row- and size-capped, with a note on how to see the remainder. Every response carries release metadata such as source, endpoint, retrieved_at, published_at, and vintage.