Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@context-aware-mcp fetch order ordr_123 details"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A configurable MCP (Model Context Protocol) server with intelligent API routing across microservices. Define your services in JSON, and the server automatically routes natural language queries to the right endpoint.
# Initialize config with a template
npx context-aware-mcp init --template openstore
# Or start with a blank config
npx context-aware-mcp initRelated MCP server: tool-smith
npm install -g context-aware-mcpOr use directly with npx:
npx context-aware-mcp <command>Command | Description |
| Create a new |
| Add a service to config |
| Add an environment URL to a service |
| Set swagger path for a service |
| Remove a service |
| Remove an environment from a service |
| List configured services |
| Validate |
| Compile TypeScript |
| Generate MCP config for Claude Code or VS Code |
All config commands support both --flags mode and interactive mode (run without flags for prompts).
Services are defined in mcp-config.json:
{
"$schema": "./mcp-config.schema.json",
"version": "1.0",
"defaults": { "environment": "qa", "swaggerPath": "/api/docs-json" },
"services": {
"my-service": {
"keywords": ["order", "checkout"],
"idPrefixes": ["ordr_"],
"type": "rest",
"environments": {
"qa": { "url": "https://qa-my-service.example.com" },
"local": { "url": "http://localhost:3001" }
}
}
},
"environmentKeywords": {
"qa": ["from qa", "in qa"],
"local": ["locally", "from local"]
}
}Generate Claude Code or VS Code config:
# Project-level Claude Code config (.mcp.json)
npx context-aware-mcp install
# VS Code config (.vscode/mcp.json)
npx context-aware-mcp install --target vscode
# Both
npx context-aware-mcp install --target allThe server exposes these tools to AI assistants:
smart_api_call — Intelligent routing from natural language queries
fetch_swagger — Fetch and cache OpenAPI specs
call_api — Direct API calls to service endpoints
list_services — List available services
kafka_list_topics / kafka_describe_topic / kafka_read_messages / kafka_consumer_groups — Kafka operations
npm install
npm run build
npm testSee CONTRIBUTING.md for details.
MIT
This server cannot be installed
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If you are the server author, to access and configure the admin panel.
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