177 tools for AI agents. Turn Chrome into an MCP server — inspect DOM, automate clicks, audit security, mock APIs, extract data, download videos, schedule agents, monitor pages, self-improving recipes, full API collection management, business intelligence

An MCP server for Massive.com Financial Market Data

Identity, trust, and A2A orchestration for autonomous AI agents. Official A2A partner.

A lightweight, modular Java application framework for web and CLI development, designed for AI integration and plugin-based architecture. Enabling developers to create robust solutions with ease for building efficient and scalable applications.

This is a Model Context Protocol (MCP) server that provides comprehensive financial data from Yahoo Finance. It allows you to retrieve detailed information about stocks, including historical prices, company information, financial statements, options data, and market news.

Provides AI clients with public breach-response guidance, scenario choices, official links, and blank inquiry, compensation, or mediation templates, while avoiding reading or returning personal data documents.

Enables travelers and agents to route destination crowds in real time by dispersing visitors and reducing queue waits with queuing-theory and dynamic heatmap guidance.

Enables automated validation of corporate travel policies, hotel rate-parity audits, and carbon ESG compliance checks through MCP tools.

Enables agents to validate enterprise travel policies, audit hotel rate parity, and check carbon ESG compliance through a zero-dependency MCP server. It exposes policy and expense-auditing tools over STDIO JSON-RPC for use in Claude Desktop, Cursor, or other MCP runtimes.

Enables agents to generate optimized multi-day travel schedules and decision payloads via MCP, applying TSP graph heuristics with fatigue decay and opening-hour constraints.

A self-hosted MCP memory server that gives every MCP-compatible agent a shared, persistent memory layer, so preferences, project conventions, and past decisions carry across sessions and across different agents and vendors. It combines hybrid keyword-plus-vector retrieval with automatic context injection, zero-config sync, and selective injection of memories by agent and priority.

Native Model Context Protocol (MCP) server turning AI coding agents into .NET runtime diagnosticians, memory forensic analysts, and CIL binary architects.

Enables AI agents and assistants to inspect live system telemetry, check TCP port connectivity, audit environment variables for leaked secrets, analyze and summarize log files, and list Docker containers — all with token-efficient, compressed output.

Enables AI clients to build, solve and inspect LS-DYNA analyses, either by driving Ansys Mechanical through PyMechanical or by submitting and monitoring standalone keyword-deck runs. It also reads and audits solver output files such as glstat, binout, d3plot and ASCII histories, with results comparison and deck checks.

Enables auditing, formatting, and compiling Brazilian academic manuscripts (TCCs, dissertations, articles) against ABNT and IBGE standards, with structural diagnostics, citation-reference cross-checks, tone analysis, bibliography lookup via Crossref/SciELO and DOI, and PDF generation through Typst or LaTeX. It also supports spec-driven research planning and simulated defense-board questioning so objectives and conclusions stay aligned.

Enables AI agents to drive a real Chromium browser by receiving compact, token-efficient page maps and only the changes after each action. It guards against hidden prompt injections, blocks payments, sends and deletions until the user approves, and lets agents learn site-specific notes over time.

Enables agents to bring claims, situations, and Scripture passages to five doors (Check, Find, Walk, Word, Keep) and receive a verdict, the worked reasoning trail, cited sources, and a re-checkable content-addressed seal. It covers 77 verifier domains and 880k+ cards fully offline, so answers are found, verified, and sealed rather than generated.

Enables AI agents to look up Chinese laws and statutory articles fully offline from a local SQLite database, resolving a law name plus article number to verbatim text, searching articles by keyword, and retrieving a law's chapter structure and version history. It also verifies citations in bulk, checking whether each quoted provision exists word-for-word and is currently in force.

Turns a Muse chat ID into an addressable endpoint so any tool-capable process can send messages, ask questions and read replies, follow live activity, and create, rename, archive, or delete chats over the official Muse gadget Link SDK.

Enables users to refine desired Korean roles and industries through dialogue, generate recent job-search links, and monitor job postings from company sources and optional official APIs via local stdio MCP tools.

Enables Claude to search and read an organization's internal documents (Word, PDF, HTML, Markdown) through hybrid BM25 + vector retrieval, returning answers with exact citations while enforcing server-fixed role permissions, hiding confidential and superseded content, and logging the token cost of every request.

A hosted remote MCP server that gives AI agents live hotel, Airbnb/Vrbo and flight pricing tools — nightly rate calendars up to 330 nights, every booking site's price for a stay compared against the hotel's own site, guest reviews, and Google Flights search. Clients connect over Streamable HTTP with browser OAuth or an API key, so nothing needs to be installed or run locally.

Enables AI clients and CLI users to query and modify multiple MySQL data sources routed by project and environment, with explicit environment binding, server-side read-only enforcement, hot-reloaded web configuration, and SQL execution auditing.

Enables reading status, scripts, parameters, and logs from a monome norns and performing gated writes, screenshots, script control, and safe deploys over SSH, OSC, and the matron REPL. Writes are dry-run by default and require explicit live and confirm flags.