"Less" matching MCP servers:

Generates deterministic solar and energy storage system preliminary proposal calculations from structured customer inputs.

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.

A reference implementation of the mcp-lens pattern for progressive disclosure in MCP servers. It exposes three stable meta-tools to search, inspect, and execute capabilities, keeping tool-definition costs constant as the catalog grows.

Enables AI assistants and other MCP clients to launch and steer Cursor Cloud Agents on repositories or as repo-less research tasks, including model selection, mid-run follow-ups, cancellation, result retrieval, and run listing. Also exposes authentication checks and per-agent or per-run token usage and cost reporting.

A local, detection-first Windows MCP server that groups Device Manager interfaces into physical devices, provides explanations, and enables read-only inspection and update auditing without modifying any devices or drivers.

Provides access to Alpha ESS solar inverter and battery system data, enabling monitoring of energy statistics, real-time power data, and configuration of battery charging and discharge schedules through the Alpha ESS Open API.

locidx

A Model Context Protocol (MCP) server for accessing Fathom AI API endpoints (meetings, recordings, transcripts, summaries, teams, team members) via GET operations.

Enables AI assistants to save, search, and manage bookmarks with semantic search, automatic metadata extraction, and optional LLM-powered enrichment, all running locally.

Enables LLM agents to search and analyze Elasticsearch logs for errors, detect recurring patterns, analyze error-rate trends, and retrieve full trace context through MCP tools.

Enables AI assistants to interact with the IIIT-H mess dining and marketplace systems through resources, tools, and prompts for meal planning, billing analysis, and registration modifications.

Static-analysis MCP server for Django models. 5 read-only tools for AI coding agents.

Enables LLMs to interact with the IIIT Hyderabad Mess System to manage meal registrations, view menus, and track billing. It supports conversational commands for tasks like cancelling meals, estimating nutrition, and checking account balances.

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

A hybrid MCP server that reads UpNote notes from the local SQLite database (returns actual text) and writes/opens notes via the upnote:// URL scheme, enabling search, retrieval, creation, and navigation of notes.

MCP standards server that grounds K-12 lesson plans by providing tools to look up standards, progressions, curriculum, misconceptions, and learning components from open educational data.

An MCP server that exposes Ruby on Rails implicit dependencies like callbacks, associations, and concerns to AI coding tools.

Portable, auditable, local-first MCP memory for MCP-compatible AI agents and coding workflows. It keeps durable project memory outside the model runtime, compresses continuity into smaller working packs, and carries forward operational state so agents can resume with less repetition.

Lens-MCP is a read-only Postgres MCP server that lets AI agents inspect and query approved database data safely.

Enables AI assistants to interact with ManageEngine OpManager for network monitoring and IT operations management. Provides credential-less access to 85+ API endpoints for managing devices, alarms, discovery, dashboards, and reports through natural language.