"Ways to collect or retrieve emails" matching MCP servers:

Enables an agent to run ten ready-made research and monitoring workflows — competitor digests, cited reports, paper alerts, market maps, regulatory and due-diligence watches — pulling from Firecrawl, Tavily, GitHub and landing results in Notion, Slack, Google Docs, Sheets and Linear. Fields are filed with the user's own keys held in the operating system keychain, and every action that creates, sends or changes anything is shown and approved first.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Enables Claude Code to convert PDF files to high-quality PNG images, download academic papers, and batch process PDFs with automatic folder organization.

Converts Digital Object Identifiers (DOIs) to BibTeX format using the official DOI content negotiation API, enabling users to quickly generate bibliography entries for academic papers.

Enables searching and retrieving UK research grants, award values, institutions, and publications from the UKRI Gateway to Research API without authentication.

Deep Research infrastructure for AI agents. Search the web, read pages incrementally, follow source links, and collect relevant evidence across multiple sources. Web search runs through your own SearXNG instance, while the agent remains in control of research planning and reasoning. Cluefinch runs locally over MCP stdio.

Search and collect data from the National Assembly Library of Korea's OpenAPI (21 DB types) and export to xlsx/csv/json/sqlite.

An MCP server for downloading academic papers from multiple sources using intelligent routing and year-aware priority selection. It enables users to retrieve metadata and download single or batch PDFs by DOI or URL.

An MCP server for Perplexity's Agent API, enabling multi-step web research with citations through tools to start, collect, and cancel research runs.

Feedback collection for AI agents. Create surveys from JSON schema, collect responses from groups of people, and retrieve structured results.

Enables AI assistants to search arXiv papers, retrieve metadata, browse categories, and read paper text.

MCP server to search and retrieve mathematical publications, author profiles, and software entries from zbMath Open.

Enables MCP clients to search Indeed job listings by keyword and location and retrieve full job postings as structured JSON, without requiring an Indeed developer account or partner approval.

Enables MCP clients to search Walmart products by keyword or category, retrieve product details including the buy box and other sellers, and page through customer reviews with filters, all as structured JSON without a Walmart developer account.

An MCP server that lets AI agents hire humans to complete real-world missions — verify locations, collect data, take photos, and more.

Provides MCP tools to check reference lists for retracted or problematic citations, retrieve nuanced editorial statuses with evidence, and monitor institutions for newly flagged papers using open data from OpenAlex, Retraction Watch, and Crossref.

Enables AI agents to discover and enrich real-time B2B company data, including contact details, ratings, websites, and emails, through MCP-compatible clients.

Extracts structured JSON data from unstructured text using predefined schemas for receipts, invoices, resumes, and emails. It allows users to transform messy text into organized data through built-in or custom-defined fields.