Base de Conhecimento

io.github.mcp-dir由 GitHub 账号 mcp-dir 发布v0.1.0更新于 Oct 24, 2026

Your private knowledge base: upload documents (.md, .txt, .docx, PDF, images), the platform indexes

已验证Streamable HTTP可网页运行网页搜索与抓取文件与存储知识与记忆

概览

AI 生成的概览

让助手在私有托管知识库中搜索、列出、添加和删除文档,并进行语义索引。

可以做什么
将助手连接到托管的私有知识库,对上传的文档(.md、.txt、.docx、PDF、图片)进行语义索引。提供七个工具:kb_search 用于语义搜索,kb_list_documents 和 kb_get_document 用于列出和查看文档元数据与状态,kb_add_text 将粘贴的文本添加为可索引文档,kb_ingest_url 从 URL 下载文件并索引,kb_remove_document 删除文档,kb_list_accounts 列出已连接的知识库。每个知识库相互隔离,内容在平台上加密存储。
适用场景
适合让助手基于你自己的文档集合(如合同条款或内部笔记)回答问题,而不是依赖通用网络知识。适合希望使用托管、按库隔离的文档存储,并可从任何支持 MCP over HTTP 的客户端访问的小型办公室或团队。
运行要求
远程 HTTP MCP 端点,无需本地运行时或安装包。通过 magic-link 登录(无密码),清单未声明任何 API 密钥、环境变量或请求头。需要受支持的 MCP 客户端,如 Claude、Cursor、VS Code、ChatGPT 或其他支持 MCP over HTTP 的客户端。按存储用量计费。
安装前请注意
该服务器为专有托管服务,文档存储在提供方平台上。工具返回的数据会发送给你选择的 LLM 主机,其被列为不受提供方控制的子处理者;建议使用可关闭训练的计划。kb_add_text、kb_ingest_url 和 kb_remove_document 会写入或删除知识库内容,kb_remove_document 会删除原始文件、分块和索引条目。登录使用 magic link,因此关联邮箱账户的访问权限很重要。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Base de Conhecimento,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.mcp-dir%2Fkb-mcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "base-de-conhecimento": {
      "type": "http",
      "url": "https://api.mcp.ai/p_kb"
    }
  }
}

README

该仓库没有 README。

工具

13

kb_list_documents

Lista os documentos da base (id, nome, status, tamanho, nº de chunks).

输入参数account

kb_get_document

Metadados + status de um documento específico (sem o texto cru). Bulk support: accepts document_ids for batched execution.

输入参数accountdocument_id必填document_ids

kb_add_text

Adiciona um texto colado à base (vira um documento indexado e buscável). Útil pra notas, trechos, anotações.

输入参数text必填title必填account

kb_ingest_url

Baixa um arquivo de uma URL (.md/.txt/.docx) e o indexa na base. Bom pra ingerir um documento remoto sem upload manual.

输入参数url必填accountfilename

kb_remove_document

Remove um ou mais documentos da base (apaga o original, os chunks e o índice). Aceita uma lista de ids.

输入参数accountdocument_ids必填

kb_list_accounts

Lista as bases de conhecimento conectadas neste install. Retorna cada base com id, rótulo e um flag is_default (true quando só há uma — não precisa passar `account` nas outras tools). Com várias bases, toda kb_* aceita um `account` opcional (id ou rótulo).

无需输入参数。

show_version

Show Version

Show the current MCP platform and adapter versions.

无需输入参数。

report_bug

Report Bug

Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.

输入参数contextmessage必填conversation

connect

Connection Status

Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs.

无需输入参数。

toolkit_info

Toolkit Info

Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.

无需输入参数。

marketplace

Marketplace

The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.

输入参数limitqueryactionmcp_idmessagetool_idargumentsimmediatetier_slugprompt_bodyprompt_slugprompt_tool另有 11 个

authenticate

Authenticate

MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link.

输入参数token

版本历史

1
  1. v0.1.0最新Sep 16, 2026

评分

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