"Data Crawling Techniques and Tools for Financial Data" matching MCP servers:

Provides 10 financial data tools (market data, economic indicators, news, insider trades, and calendars) via a single MCP layer, enabling any MCP-compatible LLM to access diverse financial data through a unified interface.

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.

Enables natural-language research queries across marine data sources including FAO FishStat, BarentsWatch Fish Health, and Copernicus Marine, with data provenance and local file exports.

This MCP server enables research agents to access read-only A-share and US-equity market data, including prices, fundamentals, financial statements, news, and shareholder activity. It operates over stdio without requiring an API key for initial public sources.

Provides 102 tools for end-to-end data science pipelines, enabling data loading, cleaning, visualization, modeling, and reporting via natural language.

An MCP server for dataset exploration and analysis, enabling LLM clients to perform summary, correlation, distribution, missing value analysis, data cleaning, and statistical tests directly on CSV files.

Exposes data query and auto-insights (anomaly detection) as MCP tools. Enables AI agents to query metrics, list columns, and get data insights directly from pandas.

A data visualization MCP server built on FastMCP, providing 32 tools for chart generation, report building, and data processing.

A small MCP server exposing investment-data tools (search_companies, get_company) over a synthetic firmographic dataset, enabling natural language queries for company information.

Enables Claude Code to query fleet telemetry data for device health summaries, anomaly detection, capacity breach forecasts, and incident history via narrow MCP tools.

Enables scientific data introspection and visualization of VTK datasets with format-adaptive metadata extraction and interactive 3D visualization through MCP tools.

Enables MCP clients to ask bilingual data questions, inspect database tables and schemas, and execute validated read-only SQL through exposed tools.

MCP server for cleaning messy CSV data via a single clean_csv tool. Uses an agentic workflow with rule-based or LLM planners to transform data safely.

An MCP server that gives AI assistants the ability to connect to, query, profile, and monitor data sources — turning any LLM into an interactive data engineering copilot.

MCP server for querying work checkpoints and storing finalized timesheet reports in SQLite.

Enables running SQL warehouse validation checks through natural-language questions in MCP clients, while reusing the same logic for automated pipeline and CI/CD runs.

Local MCP server that registers restricted Python filters and runs them against local JSON, YAML, and TXT files, enabling safe data filtering and file conversion.

MCP server that profiles local data files (CSV, Parquet, JSON, Excel) and returns compact structured summaries with data-quality flags, enabling AI agents to understand datasets without seeing raw rows.

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.

MCP server for Japanese public business data, enabling AI agents to validate and look up corporate numbers, search bank/branch codes, and check national holidays. Runs locally with no telemetry; live corporate registry data requires a free NTA app ID.