MCP server for Calypso (AIcore) agents via OpenAI-compatible API.
MCP server for Calypso (AIcore) agents via OpenAI-compatible API.
One npx command. Gemini File Search-powered. Handles PDFs, screenshots, charts, diagrams, and images natively with verifiable citations.
fetch, Headers, Request, Response, FormData, Blob, and File) for API calls and SDK compatibility. The package bootstraps missing globals at startup for MCP runtimes that expose only part of the Node 18+ Web API surface. - A Calypso API endpoint that exposes: - POST /v1/responses - GET /v1/rag-agent/models - `GETCompare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"Calypso Multimodal RAG": {
"command": "npx",
"args": [
"-y",
"@calypsohq/multimodal-rag-mcp-server"
],
"env": {
"CALYPSO_API_KEY": "YOUR_CALYPSO_API_KEY",
"CALYPSO_API_BASE_URL": "https://api.calypso.so/v1"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
fetch, Headers, Request, Response, FormData, Blob, and File) for API calls and SDK compatibility. The package bootstraps missing globals at startup for MCP runtimes that expose only part of the Node 18+ Web API surface. - A Calypso API endpoint that exposes: - POST /v1/responses - GET /v1/rag-agent/models - `GET| Variable | Description | Required |
|---|---|---|
| CALYPSO_API_KEY | Declared in the maintainer’s client configuration. | Yes |
| CALYPSO_API_BASE_URL | Declared in the maintainer’s client configuration. | Optional |
The original Chromium automation reference server — simple, screenshot-driven browser control.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Automates browsers and APIs, enabling Large Language Models (LLMs) to interact with web pages for tasks like screenshot capture and JavaScript
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.