AgentClip MCP Server

AgentClip MCP Server

Enables AI agents to store, search (keyword and semantic), retrieve, update, and delete personal browser clips from a Cloudflare-backed store, authenticated via per-user token.

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README

AgentClip

Clip selected browser text — with a confirm/edit step — into a personal store on Cloudflare, then retrieve it from AI agents (MCP) and tools over a per-user-token-authenticated REST API.

  • agent — AI clients reach your clips over MCP / REST with a per-user token.
  • clip — a Chrome extension (Manifest V3) adds a "Save to AgentClip" context menu; you edit the text before it's saved.

Production runs as a single Cloudflare Worker at https://agentclip.0xkaz.com serving the API, the MCP server, Google OAuth, and the dashboard from one origin.

  • Live app: https://agentclip.0xkaz.com
  • Source: https://github.com/0xkaz/agentclip
  • 日本語版 README: README.ja.md

Features

  • Clip & edit — right-click any selection → edit content/title/tags/source → save.
  • Keyword search — substring match over content/title/tags (works for Japanese too).
  • Semantic search — meaning-based search via Workers AI embeddings + Vectorize.
  • Per-clip encryption — mark a clip to encrypt it at rest; encrypted clips are excluded from search (and shown masked, with a reveal toggle).
  • Share links — publish a single clip at a public read-only /s/<slug> URL; revoke anytime (encrypted clips can't be shared).
  • MCP + REST — AI agents and tools read/write your clips with a per-user token.
  • Google sign-in for the dashboard; opaque per-user Bearer tokens for machines.

Use the hosted app

The fastest path — no local setup:

  1. Open https://agentclip.0xkaz.com and Sign in with Google.
  2. Go to API Tokens → create a token (ac_live_…, shown once — copy it).
  3. Open Setup & Usage in the app — it shows your exact MCP config and curl examples, plus the Chrome-extension steps below.

The dashboard has three pages:

Page What it does
Snippets Browse, add/edit/delete, keyword & semantic search your clips
API Tokens Create / revoke per-user Bearer tokens
Setup & Usage Copy-paste MCP config, REST curl, and extension setup

Monorepo layout

apps/api         Cloudflare Worker — REST + MCP + Google OAuth, D1, serves dashboard
apps/web         React + Vite dashboard — landing page + Snippets / Tokens / Setup
apps/extension   Chrome MV3 extension — capture + confirm/edit
packages/shared  shared TypeScript types

The rest of this README covers running and deploying it yourself. Requirements: Node 20+, pnpm 9+ (npm i -g pnpm), a Cloudflare account, and a Google OAuth client.


1. Clone & install

git clone https://github.com/0xkaz/agentclip.git
cd agentclip
pnpm install      # or: make install

2. Configure Cloudflare D1

pnpm --filter @agentclip/api exec wrangler d1 create agentclip

Paste the returned database_id into both [[d1_databases]] blocks in apps/api/wrangler.toml (the top-level one and the [env.production] one).

make db-init                # apply schema.sql to the LOCAL D1
# later, for production:
pnpm --filter @agentclip/api db:init:remote

3. Configure Google OAuth

In Google Cloud Console → Credentials → create an OAuth client ID (Web application). Add authorized redirect URIs:

  • Local: http://localhost:8787/auth/google/callback
  • Production: https://agentclip.0xkaz.com/auth/google/callback

Then create local secrets:

cp apps/api/.dev.vars.example apps/api/.dev.vars
# edit apps/api/.dev.vars:
#   GOOGLE_CLIENT_ID, GOOGLE_CLIENT_SECRET, SESSION_SECRET (any random 32+ byte string)

4. Run locally

make dev                              # API + MCP on http://localhost:8787
pnpm --filter @agentclip/web dev      # dashboard on http://localhost:5173

Open http://localhost:5173, sign in with Google, and create an API token.

5. Install the Chrome extension

pnpm --filter @agentclip/extension build      # outputs apps/extension/dist
  1. Open chrome://extensions → enable Developer mode.
  2. Load unpacked → select apps/extension/dist.
  3. Click the AgentClip icon → set API base URL and paste the token from the dashboard.
    • Local: http://localhost:8787
    • Production: https://agentclip.0xkaz.com
  4. Select text on any page → right-click → Save to AgentClip → edit → Save.

6. Deploy to production (agentclip.0xkaz.com)

# one-time: set production secrets
pnpm --filter @agentclip/api exec wrangler secret put GOOGLE_CLIENT_ID --env production
pnpm --filter @agentclip/api exec wrangler secret put GOOGLE_CLIENT_SECRET --env production
pnpm --filter @agentclip/api exec wrangler secret put SESSION_SECRET --env production
pnpm --filter @agentclip/api db:init:remote        # schema on remote D1

make deploy        # builds the dashboard, then deploys the Worker (--env production)

The custom domain route (agentclip.0xkaz.com) requires the Cloudflare API token to have Zone:Edit on 0xkaz.com in addition to Workers/D1 edit. Without it, deploy the Worker and bind the domain from the dashboard, or use the *.workers.dev URL.


Using the REST API

# save (add "encrypted": true to encrypt at rest + exclude from search)
curl -X POST https://agentclip.0xkaz.com/api/snippets \
  -H "Authorization: Bearer ac_live_..." \
  -H "Content-Type: application/json" \
  -d '{"content":"hello","tags":"demo"}'

# keyword search (substring; works for Japanese)
curl "https://agentclip.0xkaz.com/api/snippets?q=hello" -H "Authorization: Bearer ac_live_..."

# semantic search (meaning-based)
curl "https://agentclip.0xkaz.com/api/snippets?q=greeting&mode=semantic" -H "Authorization: Bearer ac_live_..."

# update / delete
curl -X PATCH  https://agentclip.0xkaz.com/api/snippets/1 -H "Authorization: Bearer ac_live_..." -H "Content-Type: application/json" -d '{"content":"updated"}'
curl -X DELETE https://agentclip.0xkaz.com/api/snippets/1 -H "Authorization: Bearer ac_live_..."

Using MCP

Point an MCP client at https://agentclip.0xkaz.com/mcp with header Authorization: Bearer ac_live_.... Tools: store_snippet, search_snippets, semantic_search, get_snippet, list_recent, update_snippet, delete_snippet.

Semantic search indexes new clips automatically; to index clips made earlier, open the Snippets page, switch to Semantic, and click Rebuild index (or POST /api/my/reindex). Vectorize is eventually consistent (new clips become searchable within ~1 minute).

See docs/architecture.md and docs/agent-workflow.md for details.

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