Veta
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Vetasearch my library for TypeScript type safety articles"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Veta
Turn saved X posts and long-form articles into a private, searchable context base. Veta runs on your computer, uses the browser already controlled by your coding agent, and exposes the library through MCP. There is no X API, OAuth app, API key, or extra browser extension.
Install it by asking your agent
Open a task in Codex, Claude Code, or Cursor and paste this:
Install Veta from https://github.com/nerdconf/veta by following
AGENT_INSTALL.md. Use your current browser to open my X bookmarks, ask me to sign in only if the session is closed, sync everything, and verify the result with a question about my library. Do not ask me to install or configure a browser integration.
The agent handles the clone, local setup, MCP registration, app startup, browser scrolling, import, and verification. The user only signs in to X when their existing browser session needs it.
Related MCP server: ContextBank
What the workflow looks like
Tell the agent to install and sync Veta.
If X shows a login screen, sign in in that same agent-controlled tab.
Let the agent scan and import bookmarks in resumable batches.
Open the library at
http://127.0.0.1:4318or ask the agent questions directly. In future tasks the agent uses Veta's MCP tools automatically.
MCP is the interoperability layer, not the scraper itself. It gives Codex, Claude Code, and Cursor the same local tools to import, search, read, and enrich the database. Each product keeps using its own browser capability and its own existing subscription.
Privacy model
The database and app state stay inside the local Veta installation.
Veta has no analytics, hosted account, X credentials, or token store.
X authentication remains inside the user's existing browser session.
The active agent provider receives the saved text it processes or uses in an answer. “Local” describes storage and orchestration; it does not make the subscribed AI model offline.
.wrangler/and.veta/contain local state and are excluded from Git.
See PRIVACY.md for the complete boundary.
Legal
Privacy Policy — English and Spanish
Contributor setup
npm install
npm run dev:localThe app uses http://127.0.0.1:4318; the optional in-app Codex question bridge
uses http://127.0.0.1:4317.
Useful checks:
npm test
npm run veta -- status
node scripts/veta-mcp-server.mjsVeta is an early local-first release for macOS and Linux with Node.js 22.13+ and an installed Codex, Claude Code, or Cursor environment.
This server cannot be deployed
Maintenance
Related MCP Connectors
Personal context for every AI: search, read, and write back to your private Markdown library of articles, threads, PDFs, notes, and captured ChatGPT/Claude/Gemini/Grok conversations. OAuth 2.1 paste-and-authorize or revocable tiered Agent keys (read_only / edit / full). Every agent edit is versioned and revertible.
AI research library. Save, organise and reuse notes and webpages as clean markdown context.
shared AI-context layer for teams — persistent memory your agents search and update over MCP
- ZelesIAOAuthcom.zelesia
Turn the LinkedIn posts you save into a knowledge base your assistant can search and cite.
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