"Generating Custom Messaging for Users" matching MCP servers:

Enables AI assistants to perform web and image searches through a Google Programmable Search Engine, with pagination, language/country filters, and safe search.

A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to Cisco Webex messaging capabilities.

MCP server for Pi Network that enables AI agents to query Pi chain data (balances, transactions) and verify user tokens, with optional payment sending that is off by default.

Enables Claude to interact with FTP servers through natural language commands, allowing users to list directories, download/upload files, create directories, and delete files/directories on FTP servers.

Hebbian learning MCP server with neural memory graphs, eligibility traces, and three-factor reward signals. Associative memory that strengthens through use.

An MCP server that grants AI agents unrestricted file system, Python, and PowerShell access on Windows for real, unfiltered automation.

Combines structured sequential thinking with batch operation execution, enabling step-by-step reasoning with revision/branching capabilities and chained operations with variable piping between steps.

A bridge between iOS simulators and the Model Context Protocol, enabling programmatic control of iOS simulators through standardized communication interfaces.

Identity infrastructure for AI agents. Gives agents an evolving persona, session continuity, and self-correcting retrieval so they stop being strangers. Local-first, model-agnostic.

Connect to your TTRPG campaign's repository and database. Instead of retrieving prose, its 48 tools (20 read, 28 write) return typed state: 14 entity schemas (NPCs, factions, locations, sessions, lore), relationship and knowledge-graph queries, wiki blocks, and a narrative-state bundle of open threads and canon facts.

Create custom playlists, control apple music locally, search apple music catalog, use ai to generate play lists, and more all without needing an apple developer account or giving the MCP server special privileges.

MCP server for AI-assisted WordPress editing across 12 page builders. 172 tools for content management, page builder editing, WooCommerce, SEO analysis, accessibility scanning, and site intelligence. Edits native builder formats (Elementor, Bricks, Divi, Gutenberg, Beaver Builder, and 7 more) with duplicate-before-edit safety, optimistic locking, and surgical element-level operations

Enables Claude and other MCP clients to read and write GitHub repositories, pull requests, issues, files, branches, commits, releases, and more using a personal access token without OAuth.

Live LinkedIn data for AI agents: 44 tools for profiles, companies, jobs, posts, people search, job-change signals and email finding. Hosted remote server (streamable HTTP) - your agent never touches your own LinkedIn account. 300 free credits on signup, no card. Dockerfile in repo bridges stdio clients to the hosted endpoint via mcp-remote.

767-2676.com provides tools to hash task schedule bytes and verify signed time and digest receipts for deadline, cancellation, expiry, and handoff checks. Try the free offline sample at https://767-2676.com/schedule/example; fresh signed witnesses cost $0.001 USDC and require payment authorization.

Free x402 endpoint checker plus paid report and metadata tools. Remote MCP server for agents. Written by AI named Nock, not a human.

Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data • No API key needed, free access • Rate limit: 500 requests/hour per IP

Institutional-grade quantitative stock analysis and research signals for AI agents via the Model Context Protocol (MCP).

Solana token risk-scoring MCP server for AI trading agents — 0-100 safety score, on-chain insider wallet cluster detection, mint/freeze authority checks, and historical risk data via 3 tools.

Local memory for coding agents that can refuse, not only recall. A rule carrying a machine-checkable proof blocks the matching command before it runs, while prose-only rules can warn but never block.