"Methods for Parsing Emails" matching MCP servers:

Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.

Provides a local MCP server that exposes the check_prompt_injection tool to MCP clients, letting agents scan untrusted text (web pages, documents, tool outputs, emails) for prompt injection before passing it to another LLM.

Enables auditing emails for internal contradictions and reporting detected incoherences with literal textual evidence, without issuing a phishing verdict.

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.

Analyzes startup ideas against 6 sources (GitHub, HN, npm, PyPI, Google, Reddit) with LLM-powered intent parsing to assess competition, demand, and gaps.

Enables document parsing into structured, confidence-scored fields via the scan tool, working with any MCP host like Claude Desktop or Cursor.

Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.

An MCP server that recommends UI components and utility methods from private code repositories using AI to enhance code reuse and development efficiency.

MCP server for the LLM Conveyors AI agent platform. 39 tools for Job Hunter (tailored CVs, cover letters, cold emails), B2B Sales (company research, outreach), ATS scoring, resume rendering, and session management.

Analyzes raw email headers and emails for phishing, spoofing, and BEC using AI forensics, SPF/DKIM/DMARC/ARC validation, and IP reputation checks. Exposes analyze_email, get_analysis, and list_analyses as MCP tools.

Provides comprehensive GDPR compliance assessment tools for AI/ML systems, including lawful basis determination, DPIA generation, and data subject rights handling. It also crosswalks GDPR requirements to EU AI Act obligations with AI-specific considerations throughout.

Enables finding TikTok and YouTube micro-KOLs, classifying their niches, scoring campaign fit with Jev, and drafting outreach emails, with results cached locally in SQLite.

An open-source MCP server for AI-powered fraud prevention that detects fraudulent IPs, emails, URLs, and phone numbers using free APIs and provides actionable risk scores.

The deterministic fact-verification layer for AI agents. Validates the structured facts an agent emits — IBANs, payment cards, VAT and national tax IDs, crypto and bank addresses, domains, emails, phone numbers, securities and academic identifiers, plus dates, currencies and holidays — against checksums and curated authoritative data, not guesses.

MCP server for parsing Douyin links to fetch video info/download links, transcribing audio locally, and organizing transcripts into polished spoken copy.

Provides vision capabilities to Reasonix, enabling analysis of images/videos, OCR, and comparisons via OpenAI-compatible vision models.

Bridges DeepSeek (text-only) with vision models via MCP, enabling image description and compression using any OpenAI-compatible visual API.

Glass-box statistical analysis for time series and business data: 19 research-grade methods, cited findings, and measured detector false-fire rates shipped as a calibration corpus. Agents cite real math instead of inventing it.

PII sanitization layer for autonomous AI agent pipelines. Detects and redacts emails, phone numbers, national IDs, private keys, and financial data before text reaches LLMs. Supports EN, ES (LATAM), PT (BR/PT), DE, JA.