"WhatsApp MCP (Model Context Protocol) Integration" matching MCP servers:

MCP server for WhatsApp via GREEN-API gateway, enabling agents to read chat history and send messages and files.

An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.

An MCP server that enables AI to control WhatsApp Web via Puppeteer Stealth for reading and sending messages. It features human-like interaction patterns and anti-ban protections to securely manage chats and communications through natural language.

An MCP server that enables interaction with WhatsApp using the Baileys library and Streamable HTTP transport. It supports managing contacts, chats, and messages, while providing a web admin UI for QR code authentication and media handling.

An MCP server that exposes tools for sub-agent style reasoning across multiple LLM providers, enabling delegation of prompts to various models and running critique loops, debates, red-teaming, and answer ranking.

Enables LLMs to access a user's personal writing context—voice, style, opinions, expertise, projects, and communication patterns—via curated markdown files, helping the LLM match the user's voice when generating written content.

A system for defining, composing, and managing task-specific contexts for AI-powered development, enabling consistent, high-quality results.

Runs a task through 3 parallel AI models (China or USA preset) and returns concise responses for Claude to synthesize.

Universal work attestation for autonomous agents. Register any AI agent or machine with persistent cryptographic identity, attest completed work with tamper-evident on-chain records, and query trust scores. The reputation layer for the agent economy. 3 MCP tools over SSE. Settled on Solana.

Enables assistants to read-only explore and analyze Grafana dashboards and data sources, execute queries against Prometheus and Azure Log Analytics, and run guided investigation workflows.

Context+ is a semantic intelligence server that transforms codebases into searchable, hierarchical feature graphs using RAG, Tree-sitter AST, and spectral clustering. It provides tools for deep code discovery, blast radius analysis, and memory graph management for high-accuracy engineering tasks.

Provides access to ancient text corpora via stdio, enabling corpus listing, status checks, searching, and text/metadata retrieval with provenance envelopes.

Provides Chinese cultural and public data as MCP tools, including random classical poems, Chinese holiday and compensatory workday queries with annual summaries, and historical events for any date.

Compress OCR-heavy PDFs into dense packed images so agents can work with long visual documents.

Provides a local SQLite-backed code context knowledge base with MCP tools for storing and querying code facts, call graphs, semantic info, evidence, and business mappings, plus versioned snapshot publishing and incremental sync.

Validates whether phone numbers are registered on WhatsApp, supporting single and bulk (up to 10) number checks.

Provides tools for file system operations and text generation using OpenAI-compatible models via the Model Context Protocol, supporting both stdio and HTTP transports.

An MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.

Unified MCP orchestration layer that consolidates multiple MCPs into a single interface with semantic tool discovery, code-mode execution, scheduling, and intelligent caching to reduce token usage by 97% and eliminate choice paralysis.

Zero-auth cryptographic notarization and PoE (Proof-of-Existence) layer on the TON Blockchain for AI outputs, smart contract audits, and agreements.