"Information about enclave-gateway" matching MCP servers:

Governed MCP server (stdio & HTTP) and CLI orchestrator for isolated network enclaves: routes commands, 4 MiB delta file transfers, and TCP tunnels through a QEMU Windows VPN Appliance and an RDP Bastion (\tsclient) to multi-hop SSH target nodes, with policy-controlled routing, command guard, secret scrubbing, and hash-linked audit logs.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Provides current weather information for any location and generates AI-powered responses using Google Gemini through FastMCP.

MCP gateway for AI agents to Robinhood Chain (Arcus DEX) tokenized US equities: quotes, multipliers, corporate actions, sectors. Read-only, keyless.

Enables AI agents to discover and query enterprise knowledge documents and business metrics through standardized MCP tools, supporting retrieval, structured sales/order analysis, anomaly scanning, and data lineage lookups.

AI Gateway - MCP server providing AI-powered tools and automation by MEOK AI Labs

Aggregates multiple MCP servers into a single gateway with unified top-level tools, reducing LLM context usage and enabling IDE compatibility by consolidating many tools into fewer interface functions.

Enables AI agents to run local, deadline-aware format and PII checks before acting, with an optional safety classifier that runs only when suspicious text can be checked in time. It provides allow/redact/block verdicts plus status and load-simulation tools for MCP clients such as Claude Code and Cursor.

Secure MCP protocol proxy with OAuth2 + Dynamic Client Registration (DCR), JWT auth, RBAC, rate limiting, multi-server aggregation, and a monitoring/admin dashboard.

Enables AI agents to place spot market orders on a paper or ccxt exchange account only when the trade fits a pre-registered mandate, sealing a hash of the agent's rationale into a tamper-evident trace and reconciling the authorized intent against the actual fill. It also exposes the mandate, quotes, balances, and trade trace/journal records as tools, failing closed whenever policy checks are unreachable.

Governed MCP gateway that lets AI agents call tools with policy enforcement, prompt-injection screening, a kill-switch, and tamper-evident signed audit logs.

Aggregates tools from multiple upstream MCP servers and exposes them through 4 meta-tools, enabling LLMs to discover and use hundreds of tools without loading all schemas upfront.

Reduces LLM context window overhead by proxying multiple MCP servers through a few efficient dispatch tools instead of registering hundreds of individual tool schemas. It supports multi-account routing and tool discovery for both CLI-based and persistent MCP server configurations.

Serves as a lazy-loading proxy for multiple MCP servers to prevent tool schema bloat and reduce context token usage. Exposes 4 lightweight gateway tools that start backend servers on demand rather than loading all schemas at startup.

基于Python的MCP网关

Provides a security and context-control layer that multiplexes multiple MCP servers behind a single endpoint, scanning tool definitions and results, enforcing authorization, rate limiting, and audit logging, and dynamically retrieving tools to manage context window usage.

An open-source MCP gateway for the ForceShift B2B commerce intelligence platform, enabling AI agents to query verifiable market data, price points, and UI layouts without hallucinations.

Enables users to run shell commands with compressed output, extract information from large files, drive local opencode and Codex agents, perform browser-automation tasks, and monitor runs via a live dashboard.

Enables secure interoperability between LLM agents and MCP tool servers by sanitizing requests and responses, masking sensitive tokens, detecting PII, and performing server reputation scans.

Enables an AI agent to inspect and operate a remote Windows machine over a private tailnet, listing and reading files, transferring and mutating them within a configured sandbox root, capturing screenshots, and — only when explicitly double-opted-in — executing commands and sending keystrokes. It runs self-hosted with no third-party client or vendor cloud in the session path, and reports its live policy rather than asserting its own safety.

Enables clients to access multiple backend MCP servers through a single endpoint, with OAuth 2.1 authorization, namespaced tools, and secure credential management.

MCP gateway adding per-tool RBAC, tenant isolation, audit export, and PII redaction to any server.

Enables a language model to safely query internal services through a closed set of read-only, schema-validated tools, with full auditing and refusal logging.

Exposes MCP tools that give desktop agents durable two-tier memory with recall and graph traversal, project code intelligence (symbol lookup, impact walking, notes search), and web search with page-to-Markdown conversion. It also runs a local model gateway that routes Anthropic- and OpenAI-shaped traffic across providers with usage accounting.

A production-ready unified entry point for AI agents that implements the Model Context Protocol (MCP). It provides a secure gateway with rate limiting, authentication, and observability for managing and proxying requests to multiple downstream APIs.

Acts as an intermediary between LLMs and other MCP servers, centralizing management, sanitizing sensitive information, and providing a unified interface for discovering and interacting with proxied MCPs.

Lets ChatGPT Dot drive local ACP coding agents through MCP as persistent multi-turn sessions, preserving context across restarts by session ID and supporting prompting, event polling, tool-call inspection, permissions, and agent configuration.

Configurable MCP server that lets you define LLM-powered tools via JSON, enabling easy integration of multiple models (GPT, Gemini, Claude, etc.) as MCP tools without writing Python code.

Enables secure exposure of internal tools to LLM clients with API-key authentication, tenant isolation, per-tool guardrails, PII scrubbing, rate limiting, audit logging, and telemetry over stdio and HTTP/SSE.