What MCP methods does Mcp Test Add implement?
It implements `initialize`, `tools/list`, and `tools/call` as per the MCP JSON‑RPC specification.
@Djyeigner
基本情報
概要はまだありません
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。
Mcp Test Add is a lightweight test server that implements the MCP (Model Context Protocol) JSON-RPC endpoints for initialize, tools/list, and tools/call. It provides two basic arithmetic tools (add and minus) and is intended for developers testing MCP client‑server interactions.
Install dependencies with pip install -r requirements.txt, then run with uvicorn app:app --reload. Alternatively, build the Docker image with docker build -t mcp-test . and run with docker run -p 8081:8081 mcp-test. Use curl POST requests to http://localhost:8081/ to call MCP methods (e.g., tools/list, tools/call for add or minus).
initialize, tools/list, and tools/call MCP methodsadd and minus arithmetic toolsadd and minus operationsIt implements `initialize`, `tools/list`, and `tools/call` as per the MCP JSON‑RPC specification.
Two tools: `add` (adds two numbers `a` and `b`) and `minus` (subtracts `b` from `a`).
Install Python dependencies from `requirements.txt` and start with `uvicorn app:app --reload`, or use the provided Dockerfile to build and run a container on port 8081.
It uses HTTP as the transport layer, listening on port 8081. All MCP messages are sent via JSON‑RPC over HTTP POST.
No. The README describes it as a test server for protocol testing and prototyping; it is not intended for production use.

Local-first credential broker for MCP. AI coding agents (Claude Code, Cursor, Codex…) call APIs, SSH and databases through scoped presets; secrets stay in your OS keychain and never enter the agent's context.
Modelglass turns "which model should I use?" into a lookup instead of a guess. Seven tools give your agent live pricing across image, language, video, and audio models. Sourced and versioned, not scraped once and forgott

MCP server for AI Agents — exposes Yocoolab feedback threads and design selections as tools


Catch intent conflicts before code conflicts. The open-source coordination protocol for coding agents, built above Git.
コメント