"Secret scanning and credential detection tools" matching MCP servers:

Machine-readable detection lookups for SIEM enrichment and AI agents. Query 800+ LOLBAS and GTFOBins binaries plus process parent-child baselines — get risk levels, abuse categories, and MITRE ATT\&CK mappings without embedding data in prompts.

Scans code for exposed secrets, API keys, tokens, and credentials across 69 patterns covering cloud services, AI platforms, payment providers, authentication services, and databases.

Local STDIO MCP server for object-detection annotation workflows. Manages datasets, categories, images, bounding boxes, and exports in JSONL format without modifying source images.

Credential Manager - MCP server providing AI-powered tools and automation by MEOK AI Labs

Bias Detection - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables secure delivery of Bitwarden Secrets Manager secrets to approved local files without exposing secret values to the MCP client or model. It provides metadata-only secret discovery and atomic file writes for single secrets or raw env files.

Local, encrypted password vault with AES-256-GCM and PBKDF2, exposing MCP tools for secure credential management, password generation, and search.

A secure MCP server for local API credential management using JSON storage and a read-only default mode. It allows users to list, retrieve, and manage credentials via simple command-line tools and environment-based configuration.

Enables multi-tier AI-detection screening on academic papers by extracting text from .tex and .docx files, splitting into standard sections, and running a pipeline of statistical and LLM-based analysis.

An MCP server that scans code for exposed secrets (API keys, tokens, private keys, high-entropy strings) with placeholder-aware allowlisting and fully redacted reports, enabling agents to detect leaks before committing.

Secure secrets vault MCP server storing credentials in the OS credential manager, exposing tools to set, get, delete, and list secrets without revealing values.

AI-powered fraud detection and investigation platform that exposes tools for querying, scoring, and investigating financial applications using LangGraph, MLflow, and SQLite in-memory.

An MCP Server that enables users to interact with Google's On-Demand Scanning API (v1beta1) through natural language, likely providing capabilities for vulnerability scanning and security analysis of containers and artifacts.

Detects financial fraud and AI agent transaction risks using machine learning, behavioral biometrics, network graph analysis, and agent-to-agent protection.

MCP server for fraud detection using machine learning, behavioral biometrics, and network graph analysis, with agent-to-agent transaction protection and AI agent fingerprinting.

An MCP server that enables conversational interaction with Wazuh SIEM, allowing users to investigate alerts, hunt threats, tune false positives, edit rules, and run security actions via natural language.

Enables deterministic, no-LLM scrubbing of secrets from text or logs before they enter agent context, supporting redaction, masking, and hashing without ever leaking the original value.

Exposes account risk status from a fraud detection pipeline, returning risk scores, flagged transaction history, and LLM-generated explanations via the get_account_risk_status tool.

Enables plant disease detection through an MCP server powered by AI models, supporting deployment on Railway or local Claude Desktop.

An MCP server that enables AI-powered fraud detection on financial transactions using rule-based and statistical analysis tools, with sample data and Gradio dashboard.