"Cargo Doc" matching MCP servers:

Gemmein is the backend for AI-powered products: sign-in, data under seven access rules, AI tools priced in credits, and payments through Stripe, a relay, or RevenueCat. The @gemmein/mcp server gives a coding agent that whole contract as tools: the builder guide, the SDK reference, doc search, rule and error explainers, and check_integration, a live check of an app's access boundaries.

Zero-knowledge document vault backed by Azure Blob Storage with built-in MCP server. Client-side AES-256-GCM encryption, five tools (list, get, search, create, update), and OAuth-gated access for Claude.

Provides a local-first MCP server for multi-format document redaction, enabling detection of sensitive content, physical removal from PDFs, DOCX, XLSX, PPTX, and text files, and forensic audit with zero network calls.

Enables AI clients to perform controlled diagnostics and configuration of Keenetic and Netcraze routers over LAN RCI or remote KeenDNS HTTPS, with read-only mode, guarded writes, and centralized secret masking.

Enables comprehensive threat analysis for Indicators of Compromise (IoCs) including IP addresses, file hashes, domains, and URLs. It provides detailed reputation scores, security vendor evaluations, and network metadata to facilitate security assessments and risk detection.

Enables LLM-based assistants to diagnose network problems from PCAP/PCAPNG packet captures, offering tools for capture summaries, TCP conversation analysis, security anomaly detection, and JSON-RPC extraction without requiring Wireshark.

Enables AI-driven SOC investigations by providing automated Splunk querying, threat intelligence enrichment, and response actions through natural language. Includes tools for IP pivoting, lateral movement detection, and label harvesting.

Enables Cursor to administer a Discord guild via the Model Context Protocol, providing full server structure inspection and granular tools for managing channels, roles, members, messages, moderation, invites, webhooks, and audit logs with safety controls.

A local, containerized MCP server that uses a local LLM to sanitize documents by removing or transforming PII before content is sent to public LLM services.

Unified SIEM MCP gateway for AI-driven SOC operations and threat hunting across Azure Sentinel, Splunk, Wazuh, IBM QRadar, and Securonix.

Enables users to browse folders, list and search messages, read emails, and retrieve selected attachments through a private read-only MCP bridge with OAuth and safe HTML extraction.

Enables AI agents to interact with Splunk SIEM and TheHive SOAR through a unified MCP interface, providing 12 tools for alert triage, case management, and security operations.

Automated SOC orchestration server integrating Wazuh, TheHive, Cortex, and MISP for AI-driven incident response and SOAR playbooks.

Enables an owner to send Discord DMs to a bot and have them delivered through signed MCP Events to an existing ChatGPT dot, then return OAuth-authenticated replies to the original DM.

A Cloudflare Workers MCP server that puts a SOC analyst's enrichment, investigation, and detection-context workflow behind a single endpoint. It aggregates over 20 threat-intel sources into 18 MCP tools for IP, domain, URL, hash, and CVE lookups.

Reference implementation of HiveAttest claims for autonomous agents, exposing 19 tools for attestation, custody, cargo, warranty, and gate evaluation with real Ed25519 signatures.

Enables a private, owner-authenticated MCP client to call approved upstream APIs through a server-owned registry, with server-held credentials, fixed origins, bounded responses, and distinct read/write tools. Writes are opt-in and durably recorded with stable operation identifiers.

MCP server for BeyondContainer platform, enabling LLMs to query clusters, nodes, workloads, images, monitoring, and security scans via 58 tools.

A minimal MCP server with token-based authentication and SSE transport, providing greeting and echo tools for testing authentication patterns in remote MCP servers.

MCP server for locally masking personal data in documents before sending them to a language model, then restoring the original data in the model's response.