Skip to main content
Glama

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: ContextAtlas

What the workflow looks like

  1. Tell the agent to install and sync Veta.

  2. If X shows a login screen, sign in in that same agent-controlled tab.

  3. Let the agent scan and import bookmarks in resumable batches.

  4. Open the library at http://127.0.0.1:4318 or 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.

Contributor setup

npm install
npm run dev:local

The 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.mjs

Veta is an early local-first release for macOS and Linux with Node.js 22.13+ and an installed Codex, Claude Code, or Cursor environment.

A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
0dRelease cycle
2Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • A
    license
    -
    quality
    B
    maintenance
    ContextBank is a local-first personal context layer that stores links, files, and X bookmarks in SQLite, mirrors them into Markdown cards, and exposes read-only retrieval tools through MCP for AI agents.
    Last updated
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    Fully local, privacy-first MCP server that turns exported X/Twitter bookmarks into a searchable, enriched knowledge base for Claude Desktop and Claude Code.
    Last updated
    2
    MIT

View all related MCP servers

Related MCP Connectors

  • User-owned memory for AI agents, Copilot, Claude, IDEs, CLIs, and chat apps over remote MCP.

  • Universal memory for AI agents and tools. Save, organize and search context anywhere.

  • Cross-AI personal memory. Save once in ChatGPT, recall in Claude, Mistral, Grok, or any MCP client.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/nerdconf/veta'

If you have feedback or need assistance with the MCP directory API, please join our Discord server