"Agent File Control MCP Server" matching MCP servers:

Share encrypted, self-destructing secrets from your AI agent. Zero-knowledge E2E encryption. Agent-blind input sources (env:, file:, dotenv:) keep secrets out of LLM context.

Enables AI agents to discover each other and communicate through cryptographically verified messaging and secure inbox management via the Agents Registry. It provides tools for Ed25519-based identity authentication, message signing, and agent discovery across domains.

Governs AI agent tool calls by checking them against Agentic Control Plane policies, returning allow/deny/ask decisions with audit logging and identity attribution for MCP clients like Claude and ChatGPT. Exposes acp_check and acp_status tools for policy enforcement and connection verification.

A governance and control layer for MCP tools that manages tool requests as intents through policy-based approval, queuing, or blocking. It enables secure human oversight and audit trails for consequential agent actions across platforms like Claude Desktop and Cursor.

MCP Server for AI agent identity and authorization. Create, verify, and manage agent identities with trust scores and scoped authorization tokens.

Adds trust, handoffs, and accountability to any AI agent via 14 MCP tools implementing the COWORK Protocol.

Protects agent skills from being distilled during multi-agent collaboration by automatically filtering sensitive content, with features for skill declaration, output filtering, audit logging, and license management.

Provides search, detail lookup, and gap listing tools for a security control inventory, enabling natural language queries about control status and gaps.

Provides tools to issue, verify, and export cryptographically signed receipts for AI agent actions, enabling tamper-proof audit trails for compliance with regulations like the EU AI Act.

Connects MCP-compatible AI agents to the AGLedger API for change control, recording every change with signed, hash-chained records. Provides API pass-through tools and an offline audit verifier.

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

MCP server for secure AI agent access to Bitwarden/Vaultwarden vaults with BYOK, exposing tools to list items, reveal secrets via encrypted Sends, get TOTP codes, and save credentials.

Reputation scoring for AI agent wallets on Base. 9 tools for trust scores, fraud checks, blacklist lookups, leaderboard, badge generation, and agent registration with x402 payment verification.

MCP server for AI-agent governance using trust scoring, behavioral signals, and pre-flight action checks.

Compliance and guardrails infrastructure for AI agents, enabling safe operations within regulatory boundaries like GDPR and EU AI Act.

MCP server for enterprise authentication and authorization — JWT validation, OIDC token inspection, OAuth 2.0 introspection, and role-based access control for AI agents.

Security scanning, prompt injection detection, secret leak detection, and agent permission auditing for AI agent workflows.

An MCP server for using Bitwarden Secrets Manager as durable credential storage for agent workflows, enabling secure secret storage, retrieval, and injection into trusted executables.

Enables AI assistants to execute malware analysis tools on a REMnux system via Docker, SSH, or local connections. It provides automated file-type analysis, structured tool discovery, and security guardrails for streamlined malware investigation.

A neutral authority layer for agent runtimes, providing sovereign verification and vault-governed custody tools via MCP.