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MCP Gateway — expose toutes les skills Botte comme outils MCP. Découverte automatique, schémas d'entrée, transport stdio. Compatible Claude Code, Codex, Cursor, et tout client MCP.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
Memory as a learnable skill — store, recall, compress, and consolidate agent memories. Inspired by Stanford AutoMem.
Auto-decide whether a task runs on a LOCAL model or a CLOUD model (DeepSeek, GLM, Nemotron, Grok, Gemma, …) from an automatic effort estimate, and run multi-model fusion (cascade, draft→refine, vote). Use when the user wants automatic local-vs-cloud routing, to add cloud LLM providers, to make local and cloud models collaborate, or mentions effort-based routing, model fusion/ensemble, OpenRouter, DeepSeek, GLM, Nemotron, or Grok.
Fenêtres de contexte pour boucles rétroactives — charge seulement les deltas.
Optimisations DAG/RAG — waves, pruning, memoization, routing.
Generate one self-contained, timestamped HTML dashboard of the system's cost picture — routing savings (control loop), metric trends, current metrics, and the cost of outstanding fixes. Also renders as a live ANSI terminal view (--tui, --watch) and serves a live HTTP API (api.py). Use when the user wants a single visual view of cost/savings/health over time, or a live terminal view they don't have to open a browser for.
Append-only JSONL decision log (.botte/events.jsonl) that every filter in the belt writes to — routing, cache hits, escalations, micro-NN outputs. The single source of truth demo mode, the live dashboard, and session replay all read from. Use when you want to see or emit a live feed of routing/cache/escalation decisions, or when building a tool that needs to watch the belt work in real time.
SOC 職業分類に基づく
| name | mcp_gateway |
| description | MCP Gateway — expose toutes les skills Botte comme outils MCP. Découverte automatique, schémas d'entrée, transport stdio. Compatible Claude Code, Codex, Cursor, et tout client MCP. |
| tags | ["mcp","gateway","tools","integration","stdio"] |
Expose l'ensemble des skills Botte Secrète comme outils MCP (Model Context Protocol). Un seul point d'entrée pour que n'importe quel agent (Claude Code, Codex, Cursor, etc.) découvre et utilise toutes les capacités de Botte.
Client MCP (Claude Code / Codex / Cursor)
│
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mcp_gateway (stdio JSON-RPC)
│
├── security_scanner → scan . --format json
├── fast_context → explore . "find imports"
├── meta_harness → run plan agents
├── botte_nn → predict model input
├── solvers → assign / pack / schedule
├── context_budget → optimal context budget
├── nlp_deterministic → classify / extract
└── … (auto-discover)
# Test en local
python -m skills.mcp_gateway.server
# Avec un client
python -m skills.mcp_gateway.cli call security_scanner '{"root": ".", "fail_on": "critical"}'
python -m skills.mcp_gateway.cli call fast_context '{"root": ".", "query": "find imports"}'
python -m skills.mcp_gateway.cli list
Fichier .botte-cache/mcp_gateway.json :
{
"enabled_skills": ["security_scanner", "fast_context", "solvers"],
"excluded_skills": []
}
Si non configuré, toutes les skills disponibles sont exposées.
mcp_gateway/
├── server.py — MCP server stdio (JSON-RPC 2.0)
├── registry.py — Découverte des skills disponibles
├── dispatcher.py — Dispatch tools/call vers la bonne skill
├── cli.py — CLI pour test
└── test_mcp_gateway.py