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1MCP Agent

MCP Server

Unified Model Context Protocol server for all AI assistants

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Updated 11 days ago

About

1MCP Agent aggregates multiple MCP servers into a single, secure endpoint, simplifying AI assistant integration with OAuth 2.1 authentication and hot‑reload configuration.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

1MCP – One MCP Server for All

1MCP solves the fragmented ecosystem that currently exists when developers need to expose multiple Model Context Protocol (MCP) servers to a variety of AI assistants. Rather than running separate MCP instances for each client—Claude Desktop, Cursor, VS Code, Roo Code, or any custom tool—1MCP consolidates them into a single, unified endpoint. This eliminates duplication of configuration, reduces network overhead, and provides a consistent authentication and audit trail across all assistants that consume MCP resources.

The core value of 1MCP lies in its unified interface. It aggregates diverse MCP back‑ends, such as context7, filesystem, or any custom server, and forwards requests transparently. Developers can add new MCP servers via a simple command line tool; the server then handles routing, error handling, and health checks automatically. Because all traffic passes through one gateway, teams gain a single point of control for monitoring, logging, and applying security policies.

Key capabilities include:

  • OAuth 2.1 authentication with fine‑grained scopes, ensuring that each AI assistant only accesses the resources it is authorized to use.
  • High‑performance request forwarding with hot‑reloadable JSON configuration, so changes to the server list take effect immediately without downtime.
  • Comprehensive audit logging and input sanitization, protecting sensitive data while providing traceability for compliance.
  • Built‑in health checks and observability endpoints that integrate with standard monitoring stacks.

In practice, 1MCP shines in environments where multiple AI assistants coexist. For example, a development team can run a single 1MCP instance that exposes both a local filesystem MCP for VS Code and a cloud‑based knowledge base for Cursor, all authenticated under the same OAuth policy. A data science workflow might combine a context7 server for structured data with an HTTP‑based web scraper, while still presenting a single MCP URL to the assistant. The unified server also simplifies CI/CD pipelines; deployments can update or rotate back‑ends without touching the client configuration.

Because 1MCP acts as a central dispatcher, it enables advanced use cases such as load‑balancing between redundant MCP servers, dynamic routing based on request content, or applying rate limits per application. Its straightforward command‑line interface and hot‑reloadable config make it ideal for both local development setups and production deployments behind a reverse proxy or API gateway.