広告掲載
MCP.so
ログイン

VectorMCP MCP Server

@sergiobayona

リポジトリホームページ

基本情報

カテゴリ

メモリとナレッジ

ライセンス

MIT

トランスポート

stdio

作者

sergiobayona

VectorMCP MCP Server について

A server implementation for the Model Context Protocol (MCP) in Ruby.

#ruby-gem#mcp#model-context-protocol#mcp-servers#mcp-server#model-context-protocol-servers#mcp-sdk#model-context-protocol-sdk

VectorMCP MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

VectorMCP MCP Server のツール

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。

概要

What is VectorMCP?

VectorMCP is a Ruby implementation of the Model Context Protocol (MCP) server-side specification. It provides a framework for exposing tools, resources, prompts, roots, sampling, middleware, and security over the MCP streamable HTTP transport.

How to use VectorMCP?

Install the gem (gem install vector_mcp), create a VectorMCP::Server, register tools (using either the class-based VectorMCP::Tool DSL or the block-based register_tool API), and call server.run(port: 8080). Optionally mount the server in a Rack or Rails app via server.rack_app.

Key features of VectorMCP

  • Streamable HTTP transport with session management and resumability
  • Class-based tools via VectorMCP::Tool and block-based register_tool API
  • Rack and Rails mounting through server.rack_app
  • Opt-in authentication, authorization, and middleware hooks
  • Image-aware tools, resources, and prompts; roots and server-initiated sampling
  • Token-based field anonymization middleware for sensitive data

Use cases of VectorMCP

  • Build a custom MCP server to expose business tools to LLM clients
  • Integrate MCP endpoints into an existing Ruby on Rails application
  • Create a secure, authenticated API for AI-driven tool invocation
  • Implement a compliant MCP server with streaming and session support

よくある質問

1

What runtime dependencies does VectorMCP require?

Ruby 3.2 or later is required. The gem has no other mandatory runtime dependencies beyond the Ruby standard library.

2

What transport does VectorMCP use?

VectorMCP ships with streamable HTTP as its built-in transport. It supports `POST /mcp` for JSON-RPC, `GET /mcp` for SSE streams, and `DELETE /mcp` for session termination.

3

How does authentication work in VectorMCP?

Authentication is opt-in. You can enable API key authentication or a custom strategy. For OAuth 2.1 (RFC 9728) support, provide a `resource_metadata_url:` to enable automatic discovery and the OAuth dance.

4

Can I use VectorMCP with Rails?

Yes. VectorMCP provides a `VectorMCP::Rails::Tool` base class for ActiveRecord-backed tools and a full guide for mounting the server in `config/routes.rb`.

5

Is VectorMCP compliant with the MCP specification?

Yes. The server advertises MCP protocol version `2025-11-25` and accepts `2025-03-26` and `2024-11-05` headers for compatibility.

コメント

「メモリとナレッジ」の他のコンテンツ

Stele

Stele-Dev

Shared memory for AI coding agents. Claude Code, Cursor and Codex read your project's decisions, lessons and tasks before they act.

Sensefold

SenseFold Labs

Personal context for every AI: search, read, and write back to your private Markdown library of articles, threads, PDFs, notes, and captured ChatGPT/Claude/Gemini/Grok conversations. Remote server, OAuth 2.1 paste-and-au

Neither MCP

stonianua

Project context your AI can query through MCP — with source evidence.

agentleFS

agentleFS

One permissioned folder your team and your AI agents both log into.

ctxfile

ctxfile

Local-first MCP server that snapshots your project's working state into one context object. Open-core, privacy-first.

2
広告掲載