"Information about 'fetch' or related resources" matching MCP servers:

Enables AI bots and agents to call self-hosted APIs behind Cloudflare Access through a single HTTP fetch tool, using human-approved OAuth tokens instead of long-lived credentials.

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.

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.

MAC-address (OUI) vendor lookup and router default-login directory for AI agents, backed by ssid.ai. Identify a device manufacturer from its MAC address, detect randomized/private addresses instead of reporting unknown, or fetch a router's default login IP and admin credentials — every field cited to the manufacturer's own documentation

MCP server for auditing infrastructure-as-code attack paths, finding multi-hop chains from public internet to sensitive resources.

An MCP server that exposes macOS-native device trust signals — the facts about a Mac that cannot be gathered from a Linux container or a cloud runner. All tools are strictly read-only.

Enables MCP clients to query a Twingate network in read-only fashion for users, groups, resources, remote networks, connectors, devices, and access relationships.

MCP server that provides a hello world tool and implements server-side CIMD (Client ID Metadata Documents) processing, enabling OAuth authorization servers to fetch and validate client metadata documents with SSRF protections.

A read-only MCP server that analyzes a supplied Terraform plan JSON file and returns resource identities, action/type/mode counts, and coverage warnings about proposed infrastructure changes. It never executes Terraform, applies changes, or connects to AWS, keeping analysis local and deterministic.

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

Enables MCP clients to submit AI agent claims for verification, read verdicts, and fetch or offline-verify signed receipts.

An MCP server that brokers discovery and interaction with AAuth resources, providing a fixed set of tools for managing and invoking operations on registered resources.

MCP server that exposes OSSEC HIDS security monitoring capabilities as tools, resources, and prompts for AI assistants.

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.

Enables LLM agents to fetch web pages safely, blocking SSRF, downloads, hidden text, and prompt-injection attacks before returning cleaned content.

Enables an agent to fetch the material a separate verifier checks — receipts, genesis documents, univocity accumulator snapshots, registration statuses and SCITT service configurations — from a SCRAPI base URL or a chain RPC endpoint you supply. Every result reports where its bytes came from and which trust-model questions they can answer, without ever choosing an operator or chain provider for you.

Enables MCP clients to read system information and inspect areas, doors, inputs, outputs, and review/event logs through the Inner Range Inception REST API. It is read-only and cannot arm, disarm, unlock, toggle outputs, or change configuration.

Check whether a URL is allowed under a network-egress policy before any fetch, with tools for single URL, batch checks, and policy validation.

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 MCP-capable AI clients to fetch read-only Microsoft Graph audit evidence for security posture, MFA coverage, stale accounts, and privileged access.

Enables Claude to fetch live package versions across npm, PyPI, crates.io, and Go modules, flag deprecations and known vulnerabilities, and audit dependency manifests with minimum safe upgrade versions.

Enables AI clients to manage self-hosted Pangolin Community Edition sites, resources, targets, roles, users, organizations, and other Integration API operations over stdio or local Streamable HTTP, with configurable toolsets, write confirmation previews, caching, and secret redaction.

Enables AI agents to send and verify signup OTPs, place expected outbound calls, and fetch call transcripts through the Model Context Protocol.

Enables AI assistants to audit Solidity smart contracts for security vulnerabilities, fetch verified source code from block explorers, decode calldata, and estimate gas costs across major EVM networks.

Enables AI assistants to validate individual or batch email addresses for deliverability, and to check account plan information, through MCP tools.

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

Detects and redacts sensitive personal information such as names, emails, phone numbers, ID numbers, and locations in text before it is processed by AI agents, using configurable mask, hash, or remove strategies.

Enables AI agents to manage Google Cloud Platform resources including projects, IAM, service accounts, and APIs directly through GCP REST APIs without requiring gcloud CLI or Terraform.