Routestackai
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The Travel Infrastructure Layer for AI Agents
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- Author
- routestackai
- Categories
- Developer Tools, API, AI
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Setup
Install Routestackai in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/routestackai/routestack-starters
Follow the installation instructions in the repository README, then restart your MCP client.
Boilerplate projects for connecting to the RouteStack MCP server. Each starter is standalone — clone it, add your API key, and run.
cd typescript/cli-agent cp .env.example .env # Add your ROUTESTACK_API_KEY pnpm install pnpm start
Coming soon. See thelanguage matrixfor planned coverage.
- A RouteStack API key (get one at routestack.ai)
- Node.js >= 20 (for TypeScript starters)
- An LLM API key (OpenAI or Anthropic) for agent-based starters
Every starter uses the same core environment variables:
ROUTESTACK_API_KEY=your_api_key_here ROUTESTACK_MCP_URL=https://mcp.routestack.ai/sse
Some starters require additional keys (LLM provider, Slack, Discord, etc.). See each starter's.env.examplefor details.
This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.
Arbitrary code execution and tool-use platform for LLMs by Riza
Agent-native developer Q&A API with MCP + A2A endpoints for citations, job pickup, and answer submission.
A high-performance MCP server providing structured, real-time price data for AI hardware across global marketplaces, built with a focus on agent-native discovery over hardcoded endpoints.
An AI agent using the Model Context Protocol (MCP) with a Node.js server providing REST resources for users and messages.
Open-source, self-hosted AI gateway with built-in MCP client and server support for connecting MCP tools to AI applications.
Search 15,000+ AI tools, check agent-compatibility scores, find alternatives, and audit dependencies before calling any external API or MCP.
A TypeScript-based server that integrates the Dify AI application platform with the MCP Client.
An agent that supports Function Calling and ReAct for the MCP protocol via HTTP with SSE or Streamable HTTP transport.
An MCP server for executing Dify workflows, configured via environment variables or a config file.
Integrate with the Flowise API to create predictions and manage chatflows and assistants.
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