"Categorizing messages such as emails or system logs" matching MCP servers:

Enables querying normalized real-world asset data through MCP tools, including listing assets, retrieving asset details, comparing yields against SOFR, and checking eligibility by jurisdiction.

A production-quality multi-agent research system with an arXiv MCP server and LangGraph-based research agents, providing search, details, and cached summaries via SQLite.

Enables AI coding assistants to query private academic paper collections via standard MCP tools, with hybrid retrieval, reranking, and inline citations.

An automated system that processes raw text through a three-stage pipeline to assess data quality, enhance information, and generate structured knowledge graphs. It provides tools for triple extraction with confidence scoring and creates interactive HTML visualizations of the resulting graph.

Provides GPU-accelerated scientific computing capabilities including symbolic mathematics, quantum wave mechanics simulations, molecular dynamics, and neural network training through four specialized MCP servers.

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.

Enables traditional Chinese fortune-telling through BaZi (Four Pillars) analysis, including solar/lunar date conversion, Five Element balance calculations, Ten Gods deduction, and destiny interpretation for metaphysics applications.

Enables multi-agent research with web search and analysis, accessible via VS Code Copilot tools.

Enables agents to enrich domains into public business contact data, including MX/disposable-validated role emails, phones, social profiles, company names, and addresses, while respecting robots.txt; also normalizes URLs and emails into unique domains locally.

Fetches documents by URL, DOI, ISBN, PMID or PMCID, and reports a block as a block, never as an empty success.

Enables AI agents to hire real human operators for tasks requiring physical presence, human perception, or judgment, such as verification, testing, data collection, and physical-world tasks.

Enables querying Spain's official company registry (BORME) for company events such as incorporations, director appointments, insolvencies, and capital changes, supporting filters by date, province, and act type.

Classifies company sites as B2B or B2C and as SaaS, online store, agency, manufacturer, wholesaler, distributor, or marketplace, while matching your own buyer phrases and returning the quoted text and page as evidence. Runs deterministically on Apify, giving one row per domain with grace-free status rows for unreachable, blocked, or empty sites.

Enables AI agents to hire verified human operators for tasks requiring physical presence, human perception, or judgment, such as real-world verification, product testing, and data collection.

Resolves company domains to their LinkedIn pages, providing exact follower counts and public firmographics such as industry, company size band, headquarters, founded year, and specialties.

Enables MCP clients to search Yellow Pages local businesses by keyword and location and retrieve full listing details such as phone, hours, services, brands, and payment methods.

Enables agents to search and get recommendations from the Arabic AI ecosystem for models, datasets, tools, and benchmarks based on criteria such as dialect, license, and platform.

Connects a Zotero research library to AI assistants so users can search items by title, author, tag, collection, full text, or meaning, read metadata and PDF content, add annotations, and add or organize papers by DOI, URL, ISBN, or BibTeX. It works in local or web mode and is available both as an MCP server for chat apps and as a CLI plus agent skill for shell-based agents.

MCP server for searching Chinese academic literature from CNKI Space, returning metadata such as title, authors, year, and links, and retrieving abstracts and degree details. Enables agents to query CNKI without an account.

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

Enables AI agents to search Iranian job ads with filters, inspect ad details such as salary and skills, look up companies and their open ads, and read top company scores through a read-only MCP interface requiring no API key.

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.

Lets an AI assistant do everything you would do on Ancestry.com by hand: search records, read and edit trees (people, facts, sources, citations, notes, tags, media), review hints, attach records, look at DNA matches, and read or send messages.

Enables LLM clients to run deterministic Korean traditional metaphysics analyses—such as Saju, Zijudoushu, and DaLiuren—by exposing read-only tools that return structured evidence, lineage, sources, and explicit handling of unknown birth times.

Enables MCP clients to inspect PDF structure and extract object-level data such as characters, words, tables, images, fonts, and metadata, with JSON/CSV export and image retrieval.

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

A strategic advisory agent that applies Clayton Christensen's frameworks, such as Jobs-to-Be-Done and Disruption Theory, to analyze business decisions. It enables users to evaluate organizational capabilities, explore historical case studies, and receive theory-grounded strategic insights.

MCP server that wraps the UMT media monitoring API, enabling search and retrieval of media mentions with filters such as date range, language, sentiment, and tags.

Enables read-only access to Turbo HAMLOG amateur radio logs, allowing natural-language search and aggregation of contacts, station history, award progress, and statistics by importing logs from ADIF/CSV or HAMLOG.HDB via the DLL.

Enables AI clients to produce probabilistic forecasts with prediction intervals for numeric time series such as sales, demand, traffic, and sensor readings, using a panel of zero-shot foundation models or an accuracy-weighted ensemble. Supports up to 64 series per call, optional covariates, horizons up to 512 steps, and usage or credit checks, all without training or feature engineering.