mcpField
K
Kaption WhatsApp (Cloud)

Kaption WhatsApp (Cloud)

Remote
kaptionai.comCommunication1Updated 1d ago

About Kaption WhatsApp (Cloud)

Kaption WhatsApp (Cloud) is a cloud MCP relay between AI clients and the Kaption browser extension, enabling WhatsApp actions in the local browser. It forwards tool calls without reading messages and supports OAuth 2.1 with two HTTP transports.

Key features

  1. 01Relay 16 WhatsApp tools
  2. 02Query conversations, contacts, and messages
  3. 03Manage labels, chats, and reminders
  4. 04Handle media and export contacts
  5. 05Provide activity analytics and message scheduling

Use cases

  1. 01Query WhatsApp conversations and contacts through an AI client
  2. 02Manage chats, labels, and personal reminders
  3. 03Analyze WhatsApp activity or export contacts

MCP support

The cloud MCP server authenticates with OAuth 2.1 and accepts client tool calls over SSE or Streamable HTTP, then relays them over WebSocket to the Kaption browser extension. The relay does not read messages or execute the tools in the cloud.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.kaptionai.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

kaption-mcp-remote

Cloud MCP relay for WhatsApp — lets AI assistants (Claude, ChatGPT, Cursor, etc.) interact with your WhatsApp conversations through the Model Context Protocol.

Setup guide: kaptionai.com/mcp — connect WhatsApp to Claude, ChatGPT or Cursor.

Live at: mcp.kaptionai.com (canonical) and mcp-ext.kaptionai.com (backward-compatible alias for existing connections)

The relay cannot read your messages. It forwards MCP tool calls between the AI client and the Kaption browser extension, which processes everything locally in your browser. Its source code is public (BUSL-1.1), so you can verify it yourself.

Architecture

AI Client (Claude/ChatGPT/Cursor)
    │
    │ OAuth 2.1 + SSE/Streamable HTTP
    ▼
┌─────────────────────────────────────┐
│  Cloudflare Worker                  │
│  mcp.kaptionai.com                 │
│                                     │
│  ┌────────────┐  ┌──────────────┐  │
│  │ OAuthProv  │  │ Next.js      │  │
│  │ /sse /mcp  │  │ /authorize   │  │
│  │ /token     │  │ /ext-auth    │  │
│  │ /register  │  │ / (landing)  │  │
│  └─────┬──────┘  └──────────────┘  │
│        │                            │
│  ┌─────▼──────┐  ┌──────────────┐  │
│  │ RelayMCP   │  │ Deployment   │  │
│  │ (DO)       │  │ ChainDO      │  │
│  └─────┬──────┘  └──────────────┘  │
│        │                            │
│  ┌─────▼──────┐                    │
│  │ RelayRoom  │ ◄── WebSocket ──┐  │
│  │ (DO/accountRef) │            │  │
│  └────────────┘                 │  │
└─────────────────────────────────┼──┘
                                  │
                          Browser Extension
                          (WhatsApp Web tab)
Durable Objects
DOKeyed ByPurpose
RelayMCPOAuth sessionMcpAgent — registers tools, relays JSON-RPC to RelayRoom
RelayRoomOpaque accountRefWebSocket bridge to extension, auth handshake, request/response matching
DeploymentChainDO"main"Append-only hash chain for deployment transparency

Request Flow

  1. AI client discovers the MCP server via /.well-known/oauth-authorization-server
  2. Client registers dynamically via POST /register (RFC 7591)
  3. User authenticates with WhatsApp OTP at /authorize
  4. Client exchanges code for token at /token
  5. Client sends tool calls via SSE (/sse) or Streamable HTTP (/mcp)
  6. RelayMCP DO receives the call, routes to RelayRoom for the accountRef
  7. RelayRoom forwards JSON-RPC to the extension over WebSocket
  8. Extension executes in WhatsApp Web context, returns result
  9. Result flows back: RelayRoom → RelayMCP → AI client

Routing Table

PathMethodAuthHandler
/GET—Next.js landing page
/authorizeGET—Next.js OTP form (HMAC-signed oauthReqInfo)
/authorize/send-otpPOST—Next.js API route → rest-api
/authorize/verifyGET/POST—Next.js OTP verify → OAuthProvider completeAuthorization
/authorize/reviewer-loginPOSTStatic review credentialsPassword completion for the configured synthetic review phone
/registerPOST—OAuthProvider (RFC 7591 dynamic client registration)
/tokenPOST—OAuthProvider (token exchange)
/sseGETOAuth tokenRelayMCP DO (SSE transport)
/mcpPOSTOAuth tokenRelayMCP DO (Streamable HTTP)
/ws/extGETJWT/token in auth msgRelayRoom DO (WebSocket upgrade)
/ext-auth/*Various—Next.js extension auth pages + API
/transparencyGET—DeploymentChainDO (chain history)
/transparency/latestGET—DeploymentChainDO (latest entry)
/transparency/verifyGET—DeploymentChainDO (chain integrity)
/transparency/gapsGETCF tokenCross-reference CF deploys with chain
/transparency/appendPOSTDEPLOY_API_KEYAppend entry (CI only)

MCP Tools

16 public tools are forwarded to the extension (the relay does not execute them):

ToolDescription
queryQuery conversations, contacts, messages, transcriptions, labels, communities, sessions
summarize_conversationGet or generate a conversation summary
manage_labelsAdd/remove/create/delete WhatsApp Business labels
manage_notesGet/set contact notes (Business accounts)
download_mediaDownload image/video/audio/document from a message
manage_chatArchive, pin, mute, mark read/unread, set/clear draft
manage_remindersCreate/list/complete/delete personal reminders
manage_scheduled_messagesSchedule messages for future delivery — from Kaption's number (bot, default) or from your own number on this computer (mode: "local", also to groups)
manage_listsManage personal chat lists (custom categories)
list_contacts, get_contact, get_contact_groupsRead contacts and their group memberships
list_groups, get_groupRead cached or live group metadata
export_contactsExport contacts as CSV or JSON
get_analyticsAnalyze WhatsApp activity, rankings, response times, and exports

get_api_info is local-only and is deliberately excluded from the cloud surface because it returns private REST connection credentials.

Deployment Security

Every deployment is cryptographically signed and recorded in a tamper-evident transparency chain. See SECURITY.md for full details.

Pipeline
GitHub Actions (push to main)
    │
    ├─ 1. Run tests
    ├─ 2. Build worker (OpenNext + wrap)
    ├─ 3. SHA-256 manifest every generated code and asset file
    ├─ 4. Pre-deploy: Sigstore sign the manifest → Rekor log
    ├─ 5. Deploy to Cloudflare
    ├─ 6. Post-deploy: verify hash unchanged, sign attestation → Rekor
    └─ 7. Append to transparency chain (hash-linked)

Daily heartbeat redeploys (6am UTC) ensure the chain stays active even without code changes.

Deploys are gated — do NOT run wrangler deploy locally

All production deploys go through GitHub Actions. Multiple layers enforce this:

  1. wrangler.jsonc is gitignored; scripts/build-config.mjs renders it from wrangler.template.jsonc and refuses to run unless GITHUB_ACTIONS=true + GITHUB_RUN_ID are set (or KAPTIONAI_LOCAL_DEV=1 for dev).
  2. npm run predeploy aborts unless those same CI env vars are present.
  3. main is branch-protected: requires a reviewed PR + green test, deploy, and verify checks.
  4. CODEOWNERS routes every PR through @kshmir.

To ship a change: open a PR → review + CI green → merge to main → Actions builds, signs (Sigstore), deploys, and appends to the transparency chain. npx wrangler deploy from a laptop will fail at step 1 because there is no wrangler.jsonc to deploy.

Verify a Deployment
# 1. Check the transparency chain
curl -s https://mcp.kaptionai.com/transparency/latest | jq .

# 2. Verify chain integrity
curl -s https://mcp.kaptionai.com/transparency/verify | jq .

# 3. Verify Sigstore signature (requires cosign)
COMMIT=$(curl -s https://mcp.kaptionai.com/transparency/latest | jq -r '.event.commitSha')
cosign verify-blob \
  --bundle build-manifest.sigstore.json \
  --certificate-identity-regexp "https://github.com/Kaption-AI/mcp-extension-remote/.*" \
  --certificate-oidc-issuer "https://token.actions.githubusercontent.com" \
  build-manifest.json

API Endpoints

Transparency API (public, no auth)
# Full chain history (paginated)
GET /transparency?limit=50&offset=0

# Latest deployment
GET /transparency/latest

# Verify chain integrity
GET /transparency/verify
MCP (OAuth-protected)
# SSE transport (for Claude Code, Cursor)
GET /sse

# Streamable HTTP transport
POST /mcp

Development

# Install dependencies
npm install

# Run tests
npm test

# Dev server (Next.js only — no Worker routing)
npm run dev

# Build the full worker (OpenNext + custom wrapper)
npm run build:worker
Project Structure
src/
  index.ts            # Worker entry — Hono routing, OAuthProvider composition
  relay-mcp.ts        # RelayMCP Durable Object (McpAgent)
  relay-room.ts       # RelayRoom Durable Object (WebSocket bridge)
  deployment-chain.ts # DeploymentChainDO (transparency log)
  otp.ts              # OTP generation, verification, JWT, HMAC, rate limiting
  schemas.ts          # Zod schemas for API request validation
  tools.ts            # MCP tool definitions (forwarded, not executed)
  types.ts            # TypeScript interfaces (Env, DeploymentEvent, etc.)
app/
  page.tsx            # Landing page (multilingual, client-side i18n)
  layout.tsx          # Root layout
  i18n.ts             # i18next init (8 languages)
  locales/            # Translation JSON files
  authorize/          # OAuth OTP flow pages + API routes
  ext-auth/           # Extension auth pages + API routes
scripts/
  wrap-worker.mjs     # Post-build: wraps OpenNext output with custom routing

Environment Variables

Vars (wrangler.jsonc)
VariableDescription
INTERNAL_API_BASE_URLBackend API base URL
BUILD_HASHSHA-256 of worker bundle (set by CI)
COMMIT_SHAGit commit SHA (set by CI)
Secrets (wrangler secret put)
SecretDescription
INTERNAL_API_KEYAPI key for rest-api OTP endpoint
DEPLOY_API_KEYAPI key for transparency chain append
JWT_SECRETShared JWT signing secret (same as rest-api, schedule, metadata workers)
PHONE_REF_SECRETHMAC secret used to derive opaque durable account references from phone numbers
EPHEMERAL_STATE_SECRETEncryption secret for short-lived login hints, verify tickets, and encrypted session phone payloads
OPENAI_APPS_CHALLENGE_TOKENExact domain-verification token issued by the OpenAI plugin portal
OPENAI_REVIEW_PASSWORD_SHA256Lowercase SHA-256 hex digest of the high-entropy reviewer password
OPENAI_REVIEW_PHONEPhone number used as the dedicated review username and to derive the synthetic account's opaque reference

The three OPENAI_* values are also configured as GitHub Actions repository secrets. Add all three together, then run the manual Test, Build & Deploy workflow. CI writes them to an ephemeral mode-0600 file and passes that file to wrangler deploy --secrets-file, so the review configuration ships in the same signed, attested Worker version as the code. The workflow fails closed if only part of the three-value set is present and deletes the temporary file immediately after deployment. Existing Worker secrets not listed in that file are preserved.

Related Projects

License

BUSL-1.1

One-time attachment uploads

create_attachment_upload({name,mime,size,target_session?}) is forwarded to the selected Rust core, which checks the owner-only MCP_LOCAL_SEND flag and uses its Kaption JWT to create a same-user upload slot on the schedule Worker. PUT raw bytes to uploadUrl within 15 minutes, then send attachment:{ref:attachmentRef} within one hour. The core consumes the ref once and stores bytes locally for immediate or future scheduled sends. Maximum 8 MiB; existing consent/ask-first limits apply. The relay never reads local files or fetches third-party URLs, and rejects path and url attachment fields.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.