Orcha MCP Server已验证已精选

@westonhancock

代码仓库主页文档

基本信息

分类

记忆与知识

认证方式

oauth

作者

westonhancock

提交者

Weston Hancock

关于 Orcha MCP Server

#context management#context engineering#agent knowledge#llm wiki#second brain#knowledge graph#agent context

Orcha MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "orcha": {
      "type": "streamable-http",
      "url": "https://app.tryorcha.com/mcp"
    }
  }
}

Orcha MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

此服务需要认证，获取工具列表可能需要登录或使用服务提供方的凭据。

点击上方按钮,直接连接服务器端点实时获取工具列表。

概览

What is Orcha?

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and agents reach them through Model Context Protocol (MCP), CLI with virtual file system, or REST API, with permissions, citations, and provenance.

How to use Orcha?

Follow the repository README to install the server and add its MCP configuration to your client.

Key features of Orcha

File and folder reading, creation, update, organization, and deletion, scoped to what the connection is allowed to touch
Curated context bundles with usage guidance (list_bundles, get_bundle)
Structured databases with typed queries (list_databases, query_database, record CRUD)
Direct access to connected read-only sources (query_source, fetch_source_document, list_source_documents)
Filesystem-shaped browsing (browse_context): ls, tree, find, cat, grep, and stat over a virtual tree of the workspace

Use cases of Orcha

Connect an MCP-compatible client to this repository's service.
Review the README-backed setup before enabling it in production.

常见问题

Where is the source code for Orcha?

The source code is linked from the repository URL on this page.

Does Orcha include a standard MCP config?

If the README contains a parseable MCP configuration block, it is shown in the Config tab.

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