"Developing a Bulk Email System" matching MCP servers:

基于Model Context Protocol (MCP) 的A股实时行情查询服务器，支持查询A股实时价格、历史K线数据、财务信息及市场概况。

An MCP server that provides access to the LinkedIn Bulk Data Scraper API and various utility tools for data extraction and processing.

Lets an AI agent pull the user's own Douyin creator-backend work data — plays, likes, comments, shares, saves, 5-second completion rate and more — into a locally accumulating CSV plus a daily overview, with tools for status checks, fetching, merging, and retrospective analysis. Access is read-only to the user's own account, needs no third-party dependencies, and keeps all data on the local machine.

MCP server that diagnoses Apache Spark job failures and optimizes performance using stack-trace analysis and LLM providers, supporting EMR and local sources.

Enables AI agents to bulk-classify files, logs, and JSONL records against user-defined criteria via Jev, returning compact summaries and review queues for exceptions. It keeps bulk data out of the agent context and supports reproducible cost and quality benchmarks.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

An MCP server for AddressPenny address validation that enables users to validate postal addresses, bulk-clean address lists, and extract addresses from unstructured text through Claude Desktop, Cursor, and other MCP-compatible agents.

Enables finding and verifying work emails for contacts through a waterfall of provider keys, with per-provider cost attribution and verification after each finder.

Enables enrichment of company domains with verified firmographic signals including tech stack, hiring activity, email infrastructure, and SOC 2 compliance, returning compact typed JSON for AI agents.

An MCP server for ReciPal's nutrition-label API that lets AI assistants read and edit recipes, ingredients, and subrecipes, including bulk operations like cloning and swapping ingredients, with safety guards for destructive actions.

A Model Context Protocol (MCP) based geographic processing server that provides spatial analysis functions including coordinate system conversions, distance calculations, and area calculations.

Minimalistic MCP server that lets AI assistants inspect, quality-check, and clean CSV datasets through tools, resources, and prompts, without needing local file access.

Enables AI agents to securely connect to and query Microsoft SQL Server databases with read-only access, schema discovery, and relationship mapping. Features advanced security protections, health monitoring, and bulk operations for production environments.

An MCP server that integrates with Hunter.io API to find and verify email addresses using domain and name information.

Enables interaction with Vertica databases through SQL queries, schema management, and bulk data operations. Supports connection pooling, SSL/TLS security, and configurable permissions for database operations.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

Enables comprehensive interaction with DHIS2 health information systems through 40+ tools covering complete Web API functionality. Supports data management, tracker programs, analytics, and bulk operations for DHIS2 development and administration.

Enables conversational data analysis of Excel/CSV files through natural language queries, powered by 395 Excel functions via HyperFormula and multi-provider AI. Supports advanced analytics, bulk operations, financial modeling, and large file processing with intelligent chunking.

A stdio MCP server for safely reading, analyzing, validating, and transforming CSV/TSV files, with sandboxed file system access and configurable parsing options.

Provides a standardized way for MCP clients to interact with Apache Airflow's REST API, supporting operations like DAG management and monitoring Airflow system health.