Enables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.
Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.
Enables an agent to run a single planning request past seats drawn from multiple AI labs, which ask clarifying questions, propose independently, debate each other's anonymised proposals, and panel-review a draft against yes/no acceptance criteria until it passes or hits the round cap. Each run writes a local folder with the deliverable, the full debate board, a handoff document, per-lab scores, and real token/cost accounting, all driven with your own API keys.
A zero-cost, China-accessible MCP server providing four free AI capabilities: text chat, image generation, speech-to-text, and text-to-speech, ready to use after cloning.
Enables AI agents to delegate simple text subtasks such as summarising, translating, classifying, extracting, and reformatting to free web AIs through the user's own Edge/Chrome browser, returning only plain-text answers to save the main model's context and tokens.
Exposes free-tier AI APIs as MCP tools for AI agents, enabling text generation, web search, embeddings, and vision analysis with automatic failover and capability routing.
Verified AI free-tier limits, quota comparisons, commercial-use verdicts and zero-cost workflows. Every entry carries a human-checked verification date and is re-checked by a daily link patrol.
Enables MCP clients to generate images through multiple free/low-cost providers with automatic failover, plus session history, provider status, and configuration tools.
A headless, API-first MCP server that transforms unstructured creative portfolios into validated, machine-readable llms.txt manifests for the agentic web.
Read-only MCP server for GenieLocker that exposes tools for service status, commercial inventory, live quotes, recipe search, and credit pricing, without enabling purchases or model inference.
Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.
A Model Context Protocol server that enables AI assistants to manage Splitwise expenses using natural language, with support for voice commands, smart name matching, and advanced split configurations.
TCG oracle as an MCP server: 22 focused tools. Search 455K+ trading cards, live market snapshots, AI grading and grade-or-not decisions, conformal-calibrated price forecasts with a public accuracy scorecard, card-collateral loan terms, fantasy and sports souls leagues. Every root proven on-chain. Same tools as the hosted endpoint at mcp.the-undesirables.com, over stdio; no keys.
Enables AI agents to score their outgoing responses against groundedness and prompt-injection risks mid-turn, returning allow, warn, or block verdicts before the response reaches the user.
Enables generating images, videos, characters, and scenes through Google Flow. Supports SSE and Vercel deployment for integration with Gemini Spark and other IDEs.