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

Enables AI assistants to query real-time and historical market data across A-share, Hong Kong, US, and fund markets, including quotes, K-line data, technical indicators, sector and futures/options data. It also supports batch market scans, composite stock analysis, condition-based screening, and built-in analyst prompts and skills for financial workflows.

An AI-driven data visualization and SQL chat platform that enables natural language to SQL conversion, interactive chart generation, and database querying through a comprehensive MCP interface. Supports multiple databases, intelligent chart recommendations, and secure data management with temporary link sharing.

This server enables agents to identify users and organizations, inspect versioned datasets and model lineage, start training jobs, run and read evaluations, verify deployments, and execute typed workflows through authenticated MCP endpoints.

Integrates with the Datalog Studio REST API to explore projects, tables, and assets within a workspace. It enables users to understand data schemas and upload plain text content directly for AI processing.

Label Studio MCP Server

Enables AI assistants to fetch real-time quotes, K-line data, and technical indicators for A-share, Hong Kong, US stocks, funds, futures, and options, plus composite stock analysis, market scanning, and sector breakdowns. It also ships preset prompts and skills for technical analysis, stock screening, market overviews, and portfolio monitoring.

Enables AI assistants to fetch real-time quotes, historical and minute K-line data, technical indicators, sector/futures/options data, and composite analyses for A-share, Hong Kong, and US markets. It also ships with preset prompts and skills for stock screening, market overviews, portfolio monitoring, and technical analysis.

Enables AI assistants to query real-time and historical market data across A-shares, Hong Kong, US stocks, funds, futures, and options, compute technical indicators, and run composite workflows such as stock analysis, screening, sector breakdowns, and market overviews through tools, prompts, resources, and prebuilt skills.

Enables AI assistants to retrieve and analyze real-time and historical market data across A-shares, Hong Kong, US stocks, funds, futures, and options, including technical indicators, sector data, screening, and composite analysis. It also provides MCP prompts, resources, and skills for stock analysis, market overview, and portfolio monitoring.

An MCP server that enables retrieval of historical weather data (temperature, precipitation, conditions, etc.) from Visual Crossing for specified locations and dates.

MCP server for configuring the konsol Frappe app via the CLI. Enables AI clients to manage dimensions, measures, fact tables, connectors, and schemas using natural language.

A read-only MCP server that connects AI clients to your own bank, credit card, loan, and brokerage data through Plaid or Teller, letting you query accounts, balances, transactions, holdings, liabilities, identity, income, and run debt avalanche/snowball payoff analysis. Credentials and access tokens stay locally in a chmod-600 SQLite file, with outbound calls limited to the provider's API.

Enables MCP-based access to a US stock data warehouse and screener, allowing automated screening with daily free market data.

Official MCP server for the s2.dev serverless stream platform

Enables checking lead rows, CSV files, or Apify datasets for duplicates, email syntax and risk signals, domain issues, missing fields, and stale dates, returning a per-row import, review, or reject verdict so only clean records reach a CRM or sequencer.

Enables AI clients to perform opponent scouting, retrieve athlete box scores, diagnose P1–P6 rotation sideout issues, audit serve-receive, and export event-level touches to DataVolley (.dvw) or pandas.

Enables LLMs to profile and analyze tabular data files (CSV, Parquet, Excel, JSON) by extracting schema, statistics, data quality issues, and dtype suggestions, returning structured JSON.

A Model Context Protocol (MCP) server that integrates the FAIM time series forecasting SDK with any MCP-compatible AI assistant, enabling AI-powered forecasting capabilities.

MCP server that exposes Kafka debugging to an LLM: find messages, measure lag, unblock consumers. Read-only endpoints, previews before writes.

Connects Ignition SCADA and Studio 5000 PLC to correlate tags end-to-end, trace signal chains, and find commissioning gaps.

A tutorial implementation MCP server that enables analysis of CSV and Parquet files. Allows users to summarize data and query file information through natural language interactions.

Provides AI-assisted guidance for the Weik.io integration platform, enabling planning, implementation, testing, and deployment of integrations using Apache Camel and specialized Weik.io features.

Enables querying and managing Google Analytics 4 properties, including Firebase projects, through 36 tools covering configuration, Firebase lookups, Data API reports, and Admin API settings. Access checks and guided error resolution help users diagnose and fix permission issues.

A local MCP server implementation that interacts with DuckDB and MotherDuck databases, providing SQL analytics capabilities to AI Assistants and IDEs.

A Model Context Protocol implementation that enables LLMs to access real-time, forecasted, and historical U.S. air quality data through the AirNow API.

The server enables AI agents to define and execute predictable, multi-step data pipelines using a declarative workflow graph. It guarantees deterministic execution order and provides visual representations of the data flow without relying on heavy cloud orchestrators.

Enables AI assistants to load datasets and receive structured data-quality findings, including column classifications, missing-data summaries, and ranked issues for exploratory data analysis.

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MCP server for creating, listing, inspecting, and validating tracking plans for ecommerce and lead-generation businesses, with JSON storage and TypeScript implementation.

A server that provides tools and utilities to support the implementation of Jij Modeling, featuring easy configuration and an extensible architecture for custom modeling workflows.