What problem does Tool Gating MCP solve?
It solves context bloat caused by loading 100+ tools from multiple MCP servers at startup, and removes the need to restart Claude Desktop to add new servers during a conversation.
@ajbmachon
基本情報
Implements a tool gating and discovery system to preserve LLM context and focus while having access to many MCP servers
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"tool-gating-mcp": {
"command": "uv",
"args": [
"venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Tool Gating MCP is an intelligent proxy/router for the Model Context Protocol (MCP) that allows clients like Claude Desktop to dynamically discover and use tools from multiple MCP servers through a single connection point. It prevents context bloat by selecting only the most relevant tools for each task.
Install Python 3.12+ and uv, clone the repo, create a virtual environment, install dependencies, and run tool-gating-mcp (HTTP API server) or integrate it as a native MCP server using mcp-proxy. Configure Claude Desktop to point to Tool Gating MCP; then use built-in tools like discover_tools, provision_tools, and register_tool.
It solves context bloat caused by loading 100+ tools from multiple MCP servers at startup, and removes the need to restart Claude Desktop to add new servers during a conversation.
It uses semantic search and token budget enforcement to select and provision only the most relevant tools (typically 2–3) out of a large pool, cutting token consumption by over 90%.
Python 3.12+, the `uv` package manager, and optionally `mcp-proxy` for native MCP integration with Claude Desktop.
Tools are registered with metadata, tags, and token estimates. User queries are embedded using a sentence transformer, and tools are scored by cosine similarity plus tag matches (0.2 boost per matching tag).
Yes. You can register tools from external MCP servers via the API endpoints (`/api/tools/register`) or use the AI-assisted server registration endpoint (`/api/mcp/ai/register-server`).
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