"An MCP server for reading emails" matching MCP servers:

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

Enables AI clients to analyze any company domain and determine its AI maturity tier (commercialized, deployed, declared, or none) with supporting evidence, via a single tool backed by an Apify actor.

Free competitive pricing intelligence for SMB CPG brands. Check where any product price sits in its Amazon category, track pricing trends, and compare products — no NielsenIQ or SPINS subscription needed.

Connects Zotero and Obsidian for an AI-assisted academic reading workflow, enabling paper fetching, structured note creation, highlight syncing, and review management.

Enables searching and reading of AI/ML papers from conference proceedings and arxiv, with tools for full-text search, table of contents, and content grep.

Gives AI agents read access to ads running across Meta platforms without an API key, returning full creatives, real landing URLs, and complete platform lists.

An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.

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

Enables reading any public Shopify storefront's product catalogue with variants, SKUs, and prices, plus its collections, through two read-only MCP tools without needing an app or merchant token.

Enables listing, reading, and searching daily AI news from AI Daily Insights with structured tools and no API key required.

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.

Provides AI agents with access to Hacker News data including top stories, story details, comment threads, and full-text search for content research and trend monitoring.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

A local MCP server for searching and reading arXiv papers, enabling paper search, retrieval, and summarization through Claude.

Enables AI assistants to research sponsorship contacts by searching and verifying professional emails through Monid, while saving missions, sources, and evidence locally.

An MCP server for reading, rendering, and searching PDF files, specifically optimized for LLMs to extract text, tables, and technical diagrams. It enables metadata retrieval, multi-format text extraction, and page-to-image rendering using PyMuPDF.

Local-first MCP server for Originality.ai workflows, including AI detection, plagiarism checks, readability, SEO scans, and scan-result retrieval for content teams.

Enables agents to query live artificialanalysis.ai data — leaderboards, model digests, benchmarks, pricing, cost-per-task, speed, provider endpoints, and image/video/speech/music arenas — through token-efficient table tools that need no API key. It works from the site's public RSC payloads by default, with an optional JSON-API backend (and automatic fallback) for capability and coding/agentic indexes.

Enables reading and understanding NetCDF files, providing tools to inspect structure, variables, metadata, and data quality for scientific datasets.