Contexta

cc.contexta由 contexta.cc 發布官方發布者v1.0.0更新於 Oct 24, 2026

Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.

已驗證Streamable HTTP可網頁執行效率與工作流知識與記憶

概覽

AI 產生的概覽

遠端記憶伺服器,為 AI 助理提供依使用者隔離的持久記憶,並以關鍵字、向量與圖譜三種方式聯合檢索筆記、訊息和文件。

可以做什麼
  • 在一次查詢中結合關鍵字、向量與圖譜檢索記憶
  • 依 ID 讀取、建立和更新筆記或文件
  • 遍歷由人物、專案、決策、會議等具型別實體構成的知識圖譜
  • 列出、建立和更新任務
  • 列出可用工作區
適用情境
適合希望助理在 Claude、ChatGPT 或 Cursor 中跨工作階段記住決策、會議和專案背景的情境,也適合無須手動標記、能自動連結人物與專案的個人知識庫。
執行需求
需要連線到 mcp.contexta.cc 的遠端 MCP 端點(HTTP);需要一個 Contexta 帳號,首次連線時由 MCP 用戶端透過 OAuth 2.0(動態用戶端註冊與 PKCE)完成登入。無需 API 金鑰或環境變數。
安裝前請注意
筆記、訊息和文件會存放在第三方服務並建立索引進入其知識圖譜。助理可以建立和更新記憶與任務,寫入會改動已存資料。存取透過自動更新的 OAuth 權杖依使用者隔離,建議留意允許其儲存的內容。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Contexta,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/cc.contexta%2Fcontexta-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "contexta": {
      "type": "http",
      "url": "https://mcp.contexta.cc/mcp"
    }
  }
}

README

[Contexta]

Contexta MCP

Persistent memory & knowledge graph for your AI assistant.
Keyword + vector + graph search in a single lookup.

[Smithery] [Website] [License]


What is Contexta

Contexta is a memory MCP server that remembers like a human does — by meaning, by words, and by relationships.

Most memory tools give you one flavor of recall: embedding search, a raw log, or a graph you pay extra for. Contexta fuses all three into a single query. Your agent can ask "what did we decide about pricing with Acme last quarter?" and get back the right meeting, the right decision, and the people connected to it — in one round-trip.

Under the hood, Contexta indexes your notes, messages, and documents as typed entities (people, projects, decisions, meetings, tasks) and links them into a knowledge graph automatically. Every retrieval combines:

  • Keyword search — exact phrases, names, IDs
  • Vector search — semantic meaning across languages
  • Graph traversal — follow relationships between entities

Why Contexta

  • Typed entities out of the box — people, projects, decisions, meetings, tasks are first-class, not blobs of text
  • Knowledge graph included — no paid tier gate on the graph layer
  • Triple retrieval in one call — no need to stitch together three different memory APIs
  • 30-second setup — install via Smithery, sign in with OAuth, done
  • Per-user OAuth — your memory is private; the server authenticates every request individually
  • Multilingual — English and Russian equally supported

Use cases

  • Persistent memory for Claude, ChatGPT, and Cursor across sessions
  • Long-term context for AI agents working on ongoing projects
  • Personal knowledge base that actually understands who and what you mean
  • Research and meeting recall without manually tagging anything

Install

Via Smithery (recommended)

One-click install from the Smithery listing — Smithery handles the OAuth flow and proxies connections through its gateway.

Manual — Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):

json
{  "mcpServers": {    "contexta": {      "url": "https://mcp.contexta.cc/mcp"    }  }}

Claude will walk you through the OAuth sign-in on first use. See examples/claude-desktop.json.

Manual — Cursor

Add a new MCP server in Cursor → Settings → MCP:

  • Name: Contexta
  • Transport: HTTP
  • URL: https://mcp.contexta.cc/mcp

See examples/cursor.json.

Manual — ChatGPT

In ChatGPT → Settings → Connectors → Add custom connector → paste https://mcp.contexta.cc/mcp. See examples/chatgpt.md for full instructions.

Authentication

Contexta uses OAuth 2.0 with dynamic client registration (RFC 7591) and PKCE. On first connection, your MCP client opens a browser window, you sign in with your Contexta account, and the client receives a per-user access token. Tokens are refreshed automatically.

No API keys, no shared credentials — every request runs as a specific user with that user's private memory.

Tools exposed

Contexta MCP exposes the following tools to your AI client (non-exhaustive):

  • search — keyword + vector + graph search across your memory
  • read_page — fetch a note or document by ID
  • create_page — save a new memory
  • update_page — edit an existing memory
  • graph_search — traverse the knowledge graph
  • list_tasks / create_task / update_task — task management
  • list_workspaces — available workspaces
  • and more — the full tool list is discovered automatically by your MCP client.

Links

License

MIT — see LICENSE.

This repository is a public showcase for the hosted Contexta MCP service. The service itself is operated by the Contexta team at mcp.contexta.cc.

來源:README.md,提交 f97730d

工具

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版本歷史

1
  1. v1.0.0最新Sep 16, 2026

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