WhatsApp MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_contactsD | – |
| list_messagesD | – |
| list_chatsD | – |
| get_chatD | – |
| get_message_contextD | – |
| send_messageD | – |
| search_messagesD | – |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| db_schema |
TDQS
Scored across 7 tools
The tools are mostly distinct in purpose, with clear separation between chat operations (get_chat, list_chats), message operations (list_messages, search_messages, send_message), and contact operations (search_contacts). However, get_message_context and get_chat could potentially overlap in functionality if both retrieve chat data, creating minor ambiguity.
All tool names follow a consistent verb_noun pattern with snake_case throughout (e.g., get_chat, list_messages, search_contacts). There are no deviations in naming conventions, making the set predictable and readable.
With 7 tools, this server is well-scoped for a WhatsApp integration, covering core functionalities like retrieving chats, messages, contacts, and sending messages. The count is appropriate, neither too sparse nor bloated, allowing comprehensive interaction without overwhelming complexity.
The toolset covers basic read and send operations for chats, messages, and contacts, but lacks update or delete capabilities (e.g., no update_message or delete_chat). This creates notable gaps in lifecycle coverage, though agents can still perform core messaging workflows.