🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integration. ⚡️

Web search, page reading, prices and market data for agents via x402, in USDC on Base or Solana.

Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI. Local MCP server, free, open source.

Enables AI agents to see compiled LaTeX output: it builds the document, returns rendered page images, maps any point on a page back to its exact source line, and diffs what the last edit changed. It also audits an entire book for regressions, letting an agent diagnose and verify layout fixes without reading source alone.

Enables searching USDA AMS Livestock Mandatory Price Reporting market news reports and reading dated price rows — direct slaughter cattle, boxed beef and pork cutouts, hogs and lamb — keeping low, high and weighted-average prices separate with each report's own basis fields. It also reports clearly when a requested date, section or commodity family has no AMS coverage instead of returning empty results.

Enables an agent to submit a task brief and receive a short, validated list of skills from its full catalogue that are worth reading before starting.

Enables zero-auth agent workflows for email OTP extraction, KV checkpoints, webhook bins, wake timers, and clean URL-to-Markdown reading.

Enables MCP clients to build and troubleshoot Cisco Packet Tracer networks by adding devices, cabling them, pushing IOS configurations, addressing interfaces, configuring routing, running pings, and reading/writing .pkt files without Packet Tracer open.

Enables AI assistants to answer natural-language questions about environmental monitoring stations, returning real-time readings, hourly time-series, and combined station overviews. Supports per-user account binding and OAuth 2.1 authorization so each user only sees stations within their own permissions.

No-signup IoT backend: device names, sensor readings, history and live charts. No API key needed.

Run efficiency for coding agents: share of paid tokens that became output, not context re-reading.

Secure filesystem MCP server for reading, writing, searching, diffing, and patching files.

The ripgrep of AI context: a zero-dependency C++23 CLI + MCP server for coding agents. Find what you want without reading the repo, then check you built what you meant — blast radius, tests-to-run, quality deltas. Signatures at 74.7% fewer bytes than bodies; every guess labelled, every loss published. Paddle out with a map.

Enables MCP clients to read a shared book library from the AI reader’s own position, search full texts, leave margin notes, reply to shared annotations, and review reading status and library overview without moving the human reader’s progress.

Enables AI agents to drive policy evaluation over MCP by starting executions, answering policy questions from case evidence, and reading deterministic outcomes with reasoning traces, while the runtime controls which questions are asked and how answers combine.

Exposes 20 tools over stdio that let coding agents treat any SSH-reachable machine as a local workspace: reading, writing, editing, searching and listing files, running commands and background jobs, driving persistent terminals, and forwarding ports over one pooled connection, with nothing installed on the remote host.

Enables any MCP-connected agent to drive a browser by reading each page as an indexed action-space table and performing one guarded operation on a numbered target, refusing and refreshing when the page changes instead of retrying selectors.

Enables AI to create and revise kSQL Action plugin configurations from natural-language requirements, using the plugin’s bundled authoring API to validate SQL, APPLY behavior, and formulas while only reading kintone app definitions.

Enables agents to capture real browser interactions over CDP, compile them into deterministic replay scripts with parameterized inputs and stored secrets, and execute those workflows with real input events — no page re-reading or LLM in the replay loop. Also emits portable Agent Skills from recorded workflows.

Enables Claude to brief self-hosted GrokBot bots through their webhook routines and then collect their replies in the same thread, with tools for waiting on replies, checking the inbox, and reading conversations. It includes a self-hosted dashboard for registering bots, managing encrypted webhook keys and tokens, and connecting Claude apps over OAuth or API tokens.

Enables reading, creating, editing, and exporting Google Docs, Sheets, and Slides across multiple independently authenticated Google accounts, with dry-run previews and revision checks for content-changing operations.

Enables agents to scan course structures, play videos at real 1x speed, track document task completion, capture quiz screenshots for vision-model reading, select and submit answers, and verify scores through MCP tools.

Enables AI agents to discover and work with a user's permitted Excalidraw boards through a single MCP endpoint, reading and adding elements, images, and snapshots while respecting owner, view, edit, and guest-link access controls.

Enables controlled, human-style mouse, keyboard, and clipboard interaction with Windows applications through MCP tools for window inspection, safe activation, cursor movement, clicks, dragging, typing, scrolling, copy/cut/paste, background reading, and pause/resume safeguards.