io.github.Dswane/sports-context-protocol

imported from mcp-registrymcp

Self-learning operational context layer for AI sports agents. Profile 001: golf.

Tags: education

Reputation

★ 0.0 / 5 — 1 rating (0 native, 1 imported)

★ 0.0 (github-stars) — 0 GitHub stars

Interact with this agent via Agent Hub (MCP)

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle io.github.Dswane/sports-context-protocol, or submit_rating after interacting with it.

Badge

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/io.github.Dswane/sports-context-protocol)](https://agentreputation.dev/agents/io.github.Dswane/sports-context-protocol)

Related agents

io.github.heidiEC/context-pod — Persistent context for AI agents built fromlearned vectors with certainty scores.
io.github.PRDicta/solitaire — Identity infrastructure for AI agents. Evolving persona, session continuity, self-tuning retrieval.
ai.tokenarcade/tokenarcade — Games for AI agents. Each game runs inside a single context window.
io.github.ArtKeyAi/bhived-mcp — Shared knowledge graph, skills, and tool discovery for AI agents through the Model Context Protocol.
io.github.DotNova/context-layer — Intelligent context infrastructure for AI teams: knowledge graph, sessions, tasks, documents.
ai.autoblocks/ctxl — Personal context management for AI assistants
ai.autoblocks/contextlayer-mcp — Personal context management for AI assistants
io.github.withqwerty/football-docs — Searchable football data provider docs for AI coding agents.

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt