
Contexta
cc.contexta由 contexta.cc 发布官方发布者v1.0.0更新于 Oct 24, 2026
Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search.
概览
远程记忆服务器,为 AI 助手提供按用户隔离的持久记忆,并以关键词、向量与图谱三种方式联合检索笔记、消息和文档。
- 可以做什么
- 在一次查询中结合关键词、向量与图谱检索记忆
- 按 ID 读取、创建和更新笔记或文档
- 遍历由人物、项目、决策、会议等类型化实体构成的知识图谱
- 列出、创建和更新任务
- 列出可用工作区
- 适用场景
- 适合希望助手在 Claude、ChatGPT 或 Cursor 中跨会话记住决策、会议和项目背景的场景,也适合无需手动打标签、能自动关联人物与项目的个人知识库。
- 运行要求
- 需要访问 mcp.contexta.cc 上的远程 MCP 端点(HTTP);需要一个 Contexta 账号,首次连接时由 MCP 客户端通过 OAuth 2.0(动态客户端注册与 PKCE)完成登录。无需 API 密钥或环境变量。
安装
在 SourceWeft 中
- 打开 控制台中的 Contexta,将其添加到工作区。
- 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 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/cc.contexta%2Fcontexta-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。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"mcpServers": {
"contexta": {
"type": "http",
"url": "https://mcp.contexta.cc/mcp"
}
}
}README
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):
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 memoryread_page— fetch a note or document by IDcreate_page— save a new memoryupdate_page— edit an existing memorygraph_search— traverse the knowledge graphlist_tasks/create_task/update_task— task managementlist_workspaces— available workspaces- and more — the full tool list is discovered automatically by your MCP client.
Links
- Website: contexta.cc
- App: app.contexta.cc
- Smithery: smithery.ai/servers/ai-jcce/mcp-contexta
- MCP endpoint:
https://mcp.contexta.cc/mcp
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.
来源:README.md,提交 f97730d
工具
0版本历史
1- v1.0.0最新Sep 16, 2026
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