"Exploring RAG through defined workspaces" matching MCP servers:

MCP server for managing Defined Networking infrastructure through API tools. It enables network administration including host management, firewall rules, tags, and network configuration with Claude Code integration for interactive network design and auditing.

An MCP server that enables AI agents to manage Defined Networking / Managed Nebula infrastructure, supporting tasks like network topology design, host provisioning, and security auditing through natural language.

MCP server that integrates Apache Ranger authorization with RAG, enforcing Ranger policies to control access to knowledge bases before forwarding queries to RAG Studio.

Exposes standard MCP tools for secure calculation, knowledge-base retrieval, document statistics, and sensitive operations like email, export, and deletion with human-in-the-loop approval.

An MCP server that protects AI agents and RAG systems from adversarial poisoning attacks like prompt injection, steganography, and data anomalies through multi-layer sanitization, entropy-based detection, and consensus verification.

AI agent provenance, trust, and auditability layer. VERITAS multi-gate scoring, Cortex approval gates, S.E.A.L. hash-chain audit ledger, and semantic RAG with cryptographic provenance tracking for every decision an agent makes.

Full coverage of Anthropic Admin API to manage organization, workspaces, members, API keys, usage, and costs via natural language from any MCP client.

Enables AI assistants to audit and clean development workspaces safely by detecting reclaimable artifacts, exposed .env files, and potential secret leaks.

MCP server that provides role-based access control for Outline workspaces, allowing users to interact with docs, users, and admin tools according to their assigned role.

Enables privacy-first, offline indexing and full-text search across local document workspaces while automatically redacting PII/secrets and enforcing path access controls before snippets reach LLMs.

Enables secure secrets management through the Doppler CLI via natural language interactions. Supports managing secrets, projects, configs, and environments across different Doppler workspaces.

Provides local, dependency-free security scanning tools for LLM configurations, prompts, RAG sources, and more, enabling AI coding agents to detect prompt injections and other vulnerabilities without external network access.

MCP server for AI agent for cybersecurity: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base,Risks, compliance gaps, remediations.

A community security-research MCP server providing Browser Session and OIDC authentication for Okta workspaces, enabling read-only exploration of Okta organizations and user identity.

Enables read-only interaction with HackerOne, providing tools for searching and analyzing reports, exploring programs and scope, accessing earnings, and retrieving public disclosures.

A personal agent control harness that governs AI agents by checking every consequential action against user-defined rules, logging all actions to a tamper-evident audit chain, and providing a global kill switch. It runs as an MCP server sidecar to coding agents or standalone, keeping users in charge of what their agents can do.

Enables LLMs to manage workspaces, load and run recon modules, install marketplace modules, and query reconnaissance data, exposing the full recon-ng OSINT framework.

mcpwall is a deterministic security proxy for MCP tool calls — iptables for MCP. It sits between the MCP client and server, intercepting every JSON-RPC request and enforcing YAML-defined policies.

A privacy-focused MCP server that grants Claude read-only access to Gmail using strict, user-defined filters to control which emails are exposed. It enables searching and fetching email metadata while ensuring data security through OAuth and localized filter enforcement.

Enables MCP-compatible AI clients to safely control Home Assistant devices and query MQTT sensors through natural language, using allowlist-guarded actions and pre-defined automations.