"Adding functionality to large language models" matching MCP servers:

An MCP server that sends plain-text Gmail messages only to a predefined allowlist, using generated recipient IDs instead of email addresses to enforce security.

Enables AI agents to access only task-relevant data with secrets hidden and personal details pseudonymized, while enforcing destination policies to prevent data leakage even under prompt injection.

A Model Context Protocol server that enables Large Language Models to interact with Binary Ninja for reverse engineering tasks like viewing assembly code, decompiled code, renaming functions, and adding comments.

Enables large language models to interact with Velociraptor DFIR through natural language, allowing queries and analysis of forensic data, artifacts, hunts, collections, and VQL results.

An MCP server that connects language models to a Wazuh SIEM cluster, enabling read-only plain-language queries, schema inspection, field coverage analysis, and decoder testing.

Enables AI agents to perform compensating-control lifecycle operations on Check Point firewalls, including adding access rules, publishing sessions, and installing policies.

Enables cloud-based MCP clients to delegate privacy-sensitive or large-output tasks to a local LLM, returning sanitized placeholders or digested summaries so private data never leaves the user's network.

Cognitive security for AI-assisted development, preventing dangerous commands and large AI code rewrites when fatigued.

Inspects documents for tampering, ineffective redactions, and text aimed at language models before they enter an agent's context, and compares documents to confirm whether they are unchanged.

An MCP server that enables AI models to query FOFA, 360 Quake, and Hunter cyberspace mapping platforms for asset discovery and security research. It supports natural language parameter configuration and provides comprehensive search tools for retrieving IP, port, and domain data.

Enables language models to read FortiGate/FortiOS firewalls and answer operational questions about firewall policies, network configuration, and live client state. Provides question-shaped diagnostic tools for reference checks, configuration searches, device lookups, routing, DHCP, ARP, wireless clients, and multi-appliance targeting without allowing configuration changes.

Enables AI agents to evaluate trust, safety, and bias of models and agentic traces using TrustModel APIs.

Enables AI agents to evaluate clinical AI models for adversarial robustness, privacy leakage, and standards compliance, producing a Security Posture Score.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

Connects MCP clients such as Claude Desktop, Cursor, and VS Code to 19 hosted AI models, providing tools for listing models, checking account balance, running chat completions, and generating client setup guides.

Enables users to manage OpenFGA authorization models, stores, and relationship tuples through natural language. It supports permission checks, batch tuple operations, and the deployment of authorization models across different environments.

An MCP server that enables AI-assisted mobile security testing by exposing Frida functionality for Android application research. It provides tools for hooking Java methods, manipulating memory, managing device processes, and executing custom Frida scripts.

A Model Control Protocol server that provides access to nmap network scanning functionality, allowing users to run customizable scans, store results, and analyze network security using AI prompts.

Provides access to Shodan API functionality, enabling AI assistants to query information about internet-connected devices for cybersecurity research and threat intelligence.

A Model Context Protocol server that retrieves CVE information from the National Vulnerability Database, allowing AI models to access up-to-date vulnerability data.