MCPGate aggregates multiple MCP servers into a single unified endpoint, enabling centralized tool management with granular filtering, automatic namespacing, and observability. Features a real-time web dashboard and optional PostgreSQL-backed audit trails for monitoring and controlling AI tool access across local and remote deployments.
Self-hosted MCP gateway that connects Claude, ChatGPT, and other AI agents to 20+ enterprise tools (GitLab, Jira, Notion, Google Workspace, Slack, Grafana, …) with OAuth, audit logs, and zero data leaving your infrastructure
MCP-Gateway
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.
MCP Gateway and Registry
A secure bridge that allows Large Language Models (LLMs) to interact with corporate APIs and services in a controlled and contextualized manner.
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.
A lightweight SnapEnv McpGateway client for SnapEnv McpGateway server, enabling AI Agents access to MCP server's running on local computer.
A reference implementation of an MCP server built with Express that integrates full OAuth 2.1 authorization and RFC9728 protected resource metadata. It enables secure, authenticated communication between MCP clients and servers using streamable HTTP transport and built-in authorization flows.
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 base setup for creating MCP servers that integrate with Google's Gemini CLI, including example implementations for weather data retrieval from OpenWeatherMap and basic resource/tool definitions using FastMCP.
Provides Google Search functionality for AI models using Gemini's built-in Grounding with Google Search feature, returning real-time web search results with source citations.
Enables Claude Desktop to interact with Google's Gemini API, allowing users to query Gemini models directly or facilitate conversations between Claude and Gemini with conversation history management.
A server implementing the Model Context Protocol that enables AI assistants like Claude to interact with Google's Gemini API for text generation, text analysis, and chat conversations.
Generates safe-by-default MCP servers from OpenAPI specs, exposing only low-risk GET tools and blocking write operations.
Provides semantic search and management of shared documentation using ChromaDB and OpenAI embeddings. It enables users to query local documents by meaning, list files, and read content through natural language tools.
Enables large language models to access user geolocation information through EdgeOne Pages Functions using the Model Context Protocol.
MCP Server providing AI agents with tooling for Gerrit code review workflows via stdio transport.
公开目录未提供摘要。
A containerized service that enables MCP clients to interact with data and perform actions through a remote browser environment. It supports live streaming of the container desktop and offers proxy configuration for location-based browser sessions.
