"Techniques for File Operations" 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.

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.

Enables AI assistants to plan, diagnose and improve marketing copy by checking it against the nine questions every reader asks, drawing on a catalog of 766 techniques documented from real advertising, and running A/B test sizing and result math. It serves the catalog and plain code only, requiring no API key and making no AI calls of its own.

Remote MCP server for the UNESCO Institute for Statistics (UIS): ~5,000 indicators on education, science/R&D, culture and communication by country, region and year — hosted, nothing to install, no API key, with source URL, data release, retrieval timestamp and licence on every answer.

Enables read-only analysis of local unstructured documents by scanning a folder, extracting text and structural metadata, and passing content with truncation and error-awareness to an LLM for summarization.

Exposes the MITRE ATT\&CK framework to LLMs and AI assistants via the Model Context Protocol, enabling querying of techniques, tactics, groups, software, and mitigations.

Provides Claude Code with access to a comprehensive bug bounty knowledge base including techniques, payloads, wordlists, and real-world reports through 14 tools for searching, retrieving payloads, and assessing report quality.

Enables predictive maintenance for electric motors by analyzing stator current signals to detect faults like broken rotor bars, bearing defects, and eccentricity, using spectral and envelope analysis techniques.

A comprehensive MCP server for interacting with Zenodo records, enabling search, retrieval, citation generation, and file downloads.

Enables AI-native access to the MITRE ATT\&CK framework, allowing LLMs and agents to query techniques, threat groups, software, and generate ATT\&CK Navigator layers for threat intelligence and security workflows.

An MCP server that lets Large Language Models interact with Stata software to perform regression analysis and other statistical operations.

Enables querying MITRE ATT&CK and D3FEND data efficiently, providing techniques, detections, mitigations, actors, and countermeasures with token-aware summaries and paginated graph traversal.

Enables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.

An MCP server providing access to XRootD file systems, allowing LLMs to browse directories, read file metadata, and access contents via the root:// protocol. It supports advanced features like campaign discovery, file searching, and ROOT file analysis for scientific data management.

An MCP server that provides comprehensive Excel file operations, data analysis, and visualization capabilities for working with various spreadsheet formats like XLSX, CSV, and JSON.

Provides comprehensive access to the MITRE ATT\&CK knowledge base with 50+ tools for querying threat actors, malware, and techniques, including automatic ATT\&CK Navigator layer generation for threat analysis and visualization.

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 tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.