Enables querying Signal Desktop chats and messages by reading the encrypted SQLite database directly, providing tools for listing chats, searching messages, and running read-only SQL queries.
Provides read-only access to Signal Desktop message history, enabling listing conversations, retrieving messages, and searching messages through MCP tools.
An MCP integration for signal-cli that allows AI agents to send and receive Signal messages, supporting direct messages, group messages, and async message handling.
An MCP server that runs developer tooling commands (tests, linters, etc.) and returns compact, grouped error summaries to AI agents, reducing token usage and context window pollution. It supports multiple adapters for different tools and provides tools like run_check, diff_runs, and get_log_slice for iterative debugging.
Let ChatGPT or Codex research X (Twitter) through an existing account: search Top and Latest, follow threads, compare feeds, find accounts, and link posts. Read-only, local Docker service.
Enables read-only API incident triage through MCP tools that classify HTTP failures, timeouts, slow responses, rate limits, and missing observations, and inspect configured public service endpoints, producing structured and human-readable incident reports.
MCP server that wraps a running signal-cli daemon's JSON-RPC API as MCP tools, enabling list contacts, groups, conversations, read and send messages, and react to messages on Signal.
Helps AI coding agents migrate Angular Reactive Forms to Signal Forms by locating form constructs, distinguishing mechanical renames from judgment calls, and providing verified before/after recipes. It only detects and advises, never edits source code.
Enables LLMs like Claude to interact with PicoScope oscilloscopes for signal acquisition, measurement, and analysis. Supports device management, data capture, triggering, and signal generation through natural language commands.
An MCP server that provides tools to audit AI-agent marketplace integrity by scanning listings for deceptive patterns like fabricated engagement, automated seeding, self-advertisement, unpaid work risk, and high-budget bait.
Enables querying of U.S. congressional stock trade data, including price history, recent trades, buy signals, stock activity, and politician activity, through natural language tools.