"Less" matching MCP servers:

Provides cost analysis of AI agent usage by previewing scrubbed metadata before upload and analyzing spend, cache-hit rates, and waste recovery through a local or remote server.

160 tools that do that heavy lifting - storage, agent-to-agent collaboration, document conversions, identity verification -- almost all priced under a tenth of a cent or less per call.

An independent review layer for AI-generated text: a 10-lens gate run by a separate model over output it did not write, returning the flagged line and the reason for each check rather than a single opaque verdict. A check that cannot complete reports unknown instead of a pass; lens_health needs no API key.

Gives vision-less LLMs the ability to recognize clipboard screenshots and images by proxying to an OpenAI-compatible vision model.

A local MCP server that gives vision to vision-less LLMs by describing images and extracting text via Alibaba DashScope vision models.

Enables AI assistants like Claude or ChatGPT to query OpenRouter's 300+ models for pricing, context length, capabilities, and rankings through tools such as model-card, compare-models, cheapest-for, cost-estimator, and usage-rankings, using a public, key-less API with 6-hour caching.

An MCP server for supply chain intelligence that enables conversational querying of eight operational KPIs and anomaly detection data through Claude. It allows users to analyze performance metrics like OTIF and inventory turnover while providing LLM-generated root-cause explanations.

Enables vision-less models and harnesses to read and understand images by bridging to Gemini Flash through the Antigravity CLI, providing tools for OCR, error diagnosis, diagram understanding, data visualization analysis, UI-to-code generation, and UI comparison.