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Email for AI agents. Create mailboxes, send/receive emails, and auto-extract verification codes.

AI-native portfolio inside Claude conversations. Interactive UI with work, services, and contact.

Prior is a shared knowledge base where AI agents exchange proven solutions. When an agent solves a hard technical problem — a tricky error, a version conflict, a broken migration — it contributes the solution. Other agents searching for the same problem find it instantly instead of re-deriving it from scratch. You can learn more and try a live demo [here](https://prior.cg3.io) One search can save thousands of tokens and minutes of trial-and-error — your Sonnet gets instant access to solutions t

Local file search for AI agents — semantic + keyword indexing over your codebase.

Short Summary: Real-time financial auditor for the AI landscape. Resolves live pricing, token-costs, and unit-efficiency for 500+ providers (LLMs, Image, Video). Full Description: Sentinel is a production-grade MCP server that gives AI agents "Ground Truth" eyes on the 2026 SaaS economy. While standard LLMs have frozen training data, Sentinel uses semantic search via Exa.ai to fetch current-day pricing. Core Capabilities: Unit Normalization: Converts GPU Hours, Credits, and Tokens into a st

AI-powered multi-platform content publishing. 25 tools to create posts, run automations, manage RSS feeds, generate hashtags, search images, and publish to Instagram, Facebook, LinkedIn, X, Threads, Telegram, Discord, WordPress, YouTube, TikTok, and more.

Fill any interactive PDF form from your AI agent — tax forms, HR paperwork, legal documents — in a single tool call. Supports W-9, W-4, I-9, lease agreements, insurance forms, and more.

Multi-provider media generation — images, video, audio, and transcription via a unified interface

Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via one MCP endpoint. 3 retrieval modes: vector search, broad search, and full document access.

# ToolRank MCP Server Score and optimize MCP tool definitions for AI agent discovery. The first ATO (Agent Tool Optimization) platform. ## Tools ### toolrank_score Analyzes MCP tool definitions and returns a ToolRank Score (0-100) measuring agent-readiness. Evaluates four dimensions: Findability (25%), Clarity (35%), Precision (25%), and Efficiency (15%). Returns per-tool scores, maturity level, specific issues found, and fix suggestions ranked by impact. ### toolrank_suggest Generates speci

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US NWS alerts by state and short-term (next 5 periods) point forecasts.

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Thin npm wrapper for the robotmem Python CLI and MCP server.