"Information about enclave-gateway" matching MCP servers:

Reliable, scalable browser infrastructure for AI agents. Route, pool, and failover across any browser provider. 8 built-in browser tools using raw Chrome CDP - navigate, screenshot, snapshot, interact, evaluate. Zero-config with auto Chrome detection & concurrent sessions support

A federated MCP gateway that consolidates multiple plain-HTTP backends into a single, OAuth-protected MCP server, enabling agents to access diverse tools through one endpoint with centralized authentication and audit.

Unified MCP and skill management gateway for AI agents, enabling tool discovery, installation, and sharing with 99% context token savings.

A multiplexing gateway that aggregates multiple MCP servers into a single port, significantly reducing context token usage through a Meta-MCP discovery system. It enables dynamic tool discovery and invocation across various transport protocols including stdio, HTTP, and SSE.

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.

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

A local MCP gateway that aggregates multiple downstream MCP servers behind a single connection, with hot-reload via HTTP admin API or file-watcher and support for large payloads.

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.

Enables multiple MCP clients to securely access various third-party MCP backends through a single HTTP gateway, with modern MCP handshake compatibility and session lifecycle management.

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.

A compact non-production-ready MCP gateway that routes tool calls to configured downstream MCP servers, with a dashboard to enable or disable tools.

Aggregates multiple Model Context Protocol servers into a single gateway to provide unified search, description, and execution of tools. It reduces context limit issues by dynamically fetching specific tool schemas only when needed rather than loading all available tools at once.

A Bun-based gateway that provides self-describing, discoverable APIs for AI agents, restoring the hypermedia pattern of the web. It allows agents to autonomously explore and understand API surfaces through MCP protocol.

A local reimplementation of the AWS Bedrock AgentCore Gateway with a pluggable Lambda backend for developing and testing agent-integrations offline.

A production-style MCP gateway that aggregates multiple tool servers into one surface with semantic tool search, RBAC, audit logging, and rate limiting, enabling efficient tool selection for AI agents.

A generic MCP gateway that aggregates multiple upstream MCP servers into a single FastMCP endpoint, configured via servers.json with support for tool subsetting, renaming, multi-instance routing, and pluggable authentication.

Unified MCP tool gateway for agents to access WebPilot browser tools and other backend capabilities via an Electron tray application.

Centralized gateway for multiple AWS Bedrock models through the Model Context Protocol (MCP), enabling AI agents to interact with 15+ Bedrock models like Nova, Claude, Llama, and Mistral.

A Windows-native MCP gateway that lets any MCP-capable host orchestrate local coding-agent CLIs as external workers.

Provides a security governance layer for AI agents to safely access upstream MCP servers, enforcing tool-level RBAC, parameter constraints, authentication via static tokens or OIDC, and tamper-evident audit logging.

Finds MCP servers in the MCP Rating index and connects to them on demand, proxying their tools under namespaced names and notifying the client when tools change. Each server gets a short environment allowlist plus only the variables you name for it, so other API keys in your environment aren't passed on. Files aren't isolated unless you opt into Docker containers.

A Model Context Protocol (MCP) gateway for running Claude Code, Codex, Gemini, Grok, and Mistral (Vibe) CLIs from one MCP endpoint, with durable async jobs, session continuity, cache-aware prompting, observability, and personal-appliance setup tooling. Why developers try it: one local MCP endpoint for cross-LLM validation, multi-agent coding workflows.

Provides unified access to 100+ MCP tools from the marketplace plus custom MCPs through a single gateway with search and execute capabilities.

Enables MCP-based AI agents to route tool calls through governance without code changes, checking each call against a mandate and allowing, refusing, or holding for approval while keeping tool API keys out of the AI app.

Governs any stdio MCP server by interposing between the agent and the server, enforcing policy on every tools/call and refusing denied actions before they reach the upstream server.

An MCP routing proxy that prevents LLMs from executing unintended tools. It securely curates, filters, and routes tools from multiple backend MCP servers. (LLMが意図しないツールを実行するのを防ぐMCPルーティングプロキシ。複数のバックエンドMCPサーバーからのツールを安全にキュレーション、フィルタリング、ルーティングします。)

A central tool aggregator that routes and orchestrates multiple fabric apps through a single MCP surface. It enables users to access a combined suite of specialized tools from various registered apps via a unified server connection.

Enables AI agents to connect to tools and data through a governed MCP endpoint with agent identity, scoped permissions, guardrails, and full audit trails. Access is user-controlled and can be revoked instantly, with every tool call logged by agent identity and timestamp.

An open-source MCP gateway for AI operators, connecting any LLM to a hot-reloadable connector registry with production-grade approval gates and a built-in control plane for session management.