"Information about CSV (Comma-Separated Values)" matching MCP servers:

Enables AI agents to run read-only AWS security audits and receive normalized, severity-ranked findings about account posture, such as stale access keys, missing MFA, public buckets, open security groups, and CloudTrail coverage.

A robust Model Control Protocol server that enables AI agents to access real-time cyber threat intelligence and detailed information about vulnerabilities, threat actors, malware, and other cyber-security entities.

Anonymizes documents via the Stript desktop app locally, ensuring personal data never enters the conversation. Provides tools to anonymize files and clipboard content, fetch results, and restore original values to local files.

A read-only MCP server for the Qualys PCI Merchant API that lets LLM assistants answer questions about PCI compliance posture, such as which hosts are failing PCI or listing high findings.

Lets AI assistants work on sensitive files by reasoning over schemas and masked output while deterministic local code handles raw data, never exposing real values to the model.

A Model Context Protocol (MCP) server for Socket integration, allowing AI assistants to efficiently check dependency vulnerability scores and security information.

Exposes Microsoft 365 privacy/compliance audit checks as MCP tools, enabling natural language queries about tenant configuration, orphaned documents, Conditional Access policies, DLP policies, and Copilot usage.

MISP (Malware Information Sharing Platform) MCP server with built-in prompt injection defense via prompt-defense-audit

Enables natural-language queries about Azure resource compliance, including VM compliance, patch status, orphaned RBAC, and infrastructure health, through read-only MCP tools.

Enables AI agents to securely manage OneGuard secrets through natural language, including syncing .env files, rotating database passwords, generating and managing vaults and secrets, and auditing team access, without exposing secret values to the model.

MCP server for creating and managing SOPS-encrypted secret files using age encryption, enabling AI agents to generate and manage secrets without ever seeing plaintext values.

Tracks uncertain values stated by the user and blocks model writes that embed unverified values until confirmed.

Enables local detection of protected health information in source code before it reaches LLM prompts, log statements, or analytics calls.

Encrypted secrets vault that blinds AI agents to API keys. Stores secrets in AES-256-GCM encrypted SQLite vault, resolves them at runtime via MCP values never appear in LLM conversation transcripts. Sandbox .env files with deterministic fakes.

A GitHub-native secrets manager that allows AI assistants to securely manage, generate, and validate credentials without exposing sensitive values in conversation history. It supports secret scanning, environment diffing, and secure command execution by injecting masked variables directly into the runtime environment.

Local MCP server for macOS that scans AI coding tool history (Claude Code, Cursor, Copilot, Cline, Codex, Gemini CLI) for leaked secrets. Finds API keys in chat transcripts, redacts with sieve:// placeholders, and runs commands with Keychain-injected secrets - no plaintext values ever returned.

Enables role-based interaction with iGrid-Prometheus APIs, including domain listing, AI agent execution, action proposal, and CSV ingest/export, supporting Read, Write, and Admin permission levels.

MCP server providing 35 utility tools for AI agents including text analysis, encoding, hashing, password generation, JSON/CSV/XML parsing, regex, color, date, finance, URL metadata, SEO tags, DNS lookup, SSL inspection, and JWT decoding. Free, zero-dependency, and works with any MCP client.

Enables AI assistants to mask sensitive personal data and project directories before sending to AI, then unmask responses to restore original values using configurable swap sessions.

Provides conversational access to a local CVE (Common Vulnerabilities and Exposures) database, enabling natural language queries to search vulnerabilities, retrieve detailed CVE information, and view security statistics.