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Seta MCP - Up-to-date Local Docs for Coding

@techformist

代码仓库

基本信息

分类

记忆与知识

许可证

MIT

传输方式

stdio

作者

techformist

关于 Seta MCP - Up-to-date Local Docs for Coding

MCP server powered by local documentation

#local#offline#mcp#model-context-protocol#mcp-server

Seta MCP - Up-to-date Local Docs for Coding 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "seta-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/inspector",
        "npx",
        "seta-mcp@latest"
      ]
    }
  }
}

Seta MCP - Up-to-date Local Docs for Coding 工具

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点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Seta MCP - Up-to-date Local Docs for Coding?

Seta MCP is a Model Context Protocol server designed for Salesforce developers to create code and configuration. It fetches documentation from a user-defined local file system, giving complete control over the context provided to an AI assistant. Unlike cloud-dependent alternatives, it works entirely offline and uses local documentation libraries.

How to use Seta MCP - Up-to-date Local Docs for Coding?

Set the LOCAL_DOCS_PATH environment variable to point to a root directory containing documentation libraries. Each library folder must include a manifest.json file describing topics, difficulty levels, and learning paths. Then invoke the tools get-library-id (to find matching libraries) and get-library-docs (to fetch document content) from any MCP client like VSCode, Cursor, or Claude Desktop. Optionally run seta-indexer to enable semantic search.

Key features of Seta MCP - Up-to-date Local Docs for Coding

  • Works fully offline with local documentation
  • Fine-grained control over documentation versions and content
  • Fast iteration: update docs and make them immediately available to the LLM
  • Optional semantic search via vector database indexing
  • Enhanced manifest.json with difficulty levels, use cases, and learning paths
  • Tools for library identification and document fetching

Use cases of Seta MCP - Up-to-date Local Docs for Coding

  • Provide up-to-date Apex, LWC, and configuration docs to an AI coding assistant
  • Deliver internal or proprietary documentation offline to developers
  • Create custom learning paths for Salesforce onboarding or certification prep
  • Iterate on documentation and instantly test how the AI uses the new content

常见问题

1

What are the runtime requirements?

Node.js version 18.0.0 or higher, a local directory of structured documentation, and an MCP client (VSCode, Cursor, Windsurf, or Claude Desktop).

2

How does this compare to context7?

Unlike context7 which fetches documentation from the web, Seta MCP reads from a local file system, enabling offline use and full control over documentation versions and content.

3

Where is the documentation data stored?

All documentation lives on your local machine under the directory pointed to by the `LOCAL_DOCS_PATH` environment variable. The server never sends your docs to an external service.

4

Do I need to run the semantic indexer?

No, semantic search is optional. You can use the server with just the `manifest.json` files for keyword-based matching. The indexer creates a vector database for semantic discovery when you need it.

5

What transports and authentication are supported?

The server uses the standard MCP protocol over stdio, as shown in the client configuration examples. No authentication is built in; it is designed for local or trusted remote use.

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