"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

Production-grade MCP Gateway in Go featuring dynamic OpenAPI tool registration, RBAC governance, in-flight PII/DLP redaction, and structured JSON audit logging.

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

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.

Zero trust gateway for MCP servers. Aggregate, filter, and securely access MCP tools from anywhere without VPNs, open ports, or exposed endpoints. Built on OpenZiti, zrok, and Agora with cryptographic identity, mTLS, per-client isolation, and tool-level permission control.

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.

Converts any website into an MCP server, enabling AI assistants to search and interact with the site beyond just reading.

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.

MCP-Server from your Database optimized for LLMs and AI-Agents. Supports PostgreSQL, MySQL, ClickHouse, Snowflake, MSSQL, BigQuery, Oracle Database, SQLite, ElasticSearch, DuckDB

A zero-dependency universal MCP gateway that multiplexes multiple MCP servers across stdio, HTTP, and SSE, providing unified tool access, circuit breaking, and an interactive inspector studio.

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.

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

A TypeScript gateway that aggregates multiple MCP servers into a single endpoint, enabling AI agents to access tools from many backends through one connection.

A zero-dependency MCP proxy/gateway server that aggregates multiple MCP servers, routes tools by prefix, load balances, and enforces authentication and rate limits.

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.

Enables agents to access multiple upstream Model Context Protocol servers through a single endpoint with API-key authentication, scoped access, rate limiting, guardrails, and audit logging. Tools are namespaced by upstream so clients can discover and call them via one tools/list and tools/call surface.

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.

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.

Enables centralized management, proxying, and aggregation of multiple MCP servers behind unified endpoints, with a web GUI, server groups, tool filtering, and lifecycle controls.

Lightweight Model Context Protocol gateway that exposes one entry point for multiple downstream MCP services, enabling efficient tool discovery and routing.

HTTP MCP gateway for a learning corpus that enables remote agents to perform semantic search, graph queries, and routing via Pinecone and Neo4j without direct database credentials.

A generic MCP + REST payments gateway enabling agents to charge and accept payments without holding spending keys, supporting direct payments via x402 USDC and top-ups with XMR/ZEC.

Aggregates multiple upstream MCP servers (stdio, streamable-http, sse, websocket) behind a single streamable-HTTP endpoint with declarative configuration, namespacing, filtering, and auto-reload.

A server that translates Model Context Protocol (MCP) tool callings to traditional HTTP API requests, allowing existing HTTP APIs to be integrated into MCP territory through configurable mappings.

Enables AI agents to access approved public and private website endpoints through governed MCP tools, with operator-reviewed registries, scoped authentication, and bounded responses.

Enables unified access to multiple MCP backend servers through one local daemon, with curated per-client tool profiles, allow/deny policies, audit logging, and drift protection.

An enterprise infrastructure layer for the Model Context Protocol that provides authentication, RBAC, audit logging, and rate limiting for tool calls. It acts as a secure proxy between AI agents and MCP servers to ensure security and compliance in production environments.

Enables ChatGPT to selectively call Claude, Perplexity, and Grok as specialist external models via a private, read-only MCP gateway.