MCP server

Cassandra Predict

com.dropwatchhq/cassandra-predict

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Cassandra prediction hub: one MCP door over govcon forecasts (recompete, contractor signals).

Website

At a glance

Type

MCP server

Publisher

dropwatchhq.com (verified by the MCP Registry)

Status

Working at last check

Tools

2

Token cost

About 328 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http cassandra-predict https://predict.dropwatchhq.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.cassandra-predict]
url = "https://predict.dropwatchhq.com/mcp"

Gemini CLI

{"mcpServers":{"cassandra-predict":{"httpUrl":"https://predict.dropwatchhq.com/mcp"}}}

Cursor

{"mcpServers":{"cassandra-predict":{"url":"https://predict.dropwatchhq.com/mcp"}}}

VS Code

{"servers":{"cassandra-predict":{"type":"http","url":"https://predict.dropwatchhq.com/mcp"}}}

Antigravity

agy mcp add cassandra-predict https://predict.dropwatchhq.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"cassandra-predict","server_url":"https://predict.dropwatchhq.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"cassandra-predict","server_url":"https://predict.dropwatchhq.com/mcp"}

Tools

• list_domains ~60 tokens
  List Cassandra prediction verticals available via predict(domain, entity), with what each predicts and its data sources.
• predict ~268 tokens
  Cassandra unified predictor. From leading signals in public data, returns what is about to happen to an entity — weeks early — across four verticals. domain selects the vertical: 'recall' (consumer product / vehicle / drug / device recall risk from complaint velocity), 'bio' (biotech NIH→trial→SEC c

Browse

• Government and public data
• Health and medicine

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Badge for your README

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