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withoneai/mcp

by Various

Connect your agents to every app through a single MCP.

MCP

withoneai/mcp

Added 8 Sept 2026

#agents #ai-agents #apps #gemini-cli-extension #integrations #mcp #mcp-server #model-context-protocol

Overview

Connect your agents to every app through a single MCP. This TypeScript project provides a unified MCP interface for agent-to-app integration.

Best for

Best for
Developers who want a lightweight, unified MCP connection for their agents

Use cases

  • Connect AI agents to multiple applications via one MCP endpoint
  • Simplify agent integration by using a single MCP instead of per-app connectors
  • Build TypeScript-based MCP servers for agent workflows

How to use

Install

npx @withone/mcp

Tools exposed

  • list_one_integrations
  • search_one_platform_actions
  • get_one_action_knowledge
  • execute_one_action
  • ONE_IDENTITY
  • ONE_IDENTITY_TYPE
  • ONE_PERMISSIONS
  • ONE_CONNECTION_KEYS
  • ONE_ACTION_IDS
  • ONE_KNOWLEDGE_AGENT

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, VS Code

Notes

Connect your agents to every app through a single MCP. This TypeScript project provides a unified MCP interface for agent-to-app integration.

10 stars on GitHub. Last updated 2026-08-21. Licensed MIT.

Use cases

  • Connect AI agents to multiple applications via one MCP endpoint
  • Simplify agent integration by using a single MCP instead of per-app connectors
  • Build TypeScript-based MCP servers for agent workflows

Pros

  • Single MCP reduces integration complexity
  • Written in TypeScript for type safety and maintainability
  • Focused on a clear developer use case

Cons

  • Very low star count suggests limited adoption or maturity
  • No detailed documentation or feature list provided
  • Unclear which apps are supported or how extensible it is

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Single MCP reduces integration complexity
  • Written in TypeScript for type safety and maintainability
  • Focused on a clear developer use case

Cons

  • Very low star count suggests limited adoption or maturity
  • No detailed documentation or feature list provided
  • Unclear which apps are supported or how extensible it is
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