mcpField
L
LeagueNight

LeagueNight

Remote
github.com/everyai-comGames & Entertainment
Repository

About LeagueNight

The supplied README describes Sahadeva, a research-preview South Indian Jyotish workspace, not the LeagueNight project named in the listing. Its React and Cloudflare Worker application provides chart calculations and consultation features.

Key features

  1. 01Deterministic chart calculation
  2. 02AI narration through Cloudflare Workers AI
  3. 03Jyotish consultations and reports
  4. 04Evidence-ledger judgments
  5. 05Web, MCP, and Expo clients

Use cases

  1. 01Generate a natal chart
  2. 02Explore timing, Panchanga, or Prashna
  3. 03Review source-linked astrology evidence

MCP support

Exposes a Streamable HTTP MCP endpoint with chart reports, consultation tools, prompts, and resources for compatible clients. Supports natal charts, timing, Panchanga, Prashna, compatibility, and evidence-focused workflows.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://league-night.magicteams.ai/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

4
ParameterTypeRequiredDescription
teamsarrayYesTeam names: 2-100 unique, non-empty names (trimmed), e.g. ["Falcons", "Tigers", "Bears"]
roundsintegerNoOptional: return only the first N rounds, integer 1..max (max = teams-1 for even counts, teams for odd; doubled with second_leg). Default: all rounds
second_legbooleanNoIf true, append a mirrored second leg with home and away swapped (double round-robin). Default false

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.