"Lens" matching MCP servers:

Integrated web search MCP server with multi-engine parallel execution, automatic fallback, BM25 relevance filtering, and content extraction. Supports DuckDuckGo and Naver (news, web, encyclopedia) searches.

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.

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

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

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

Enables read-only querying of a verified knowledge library through an API and MCP interface, letting people and agents ask questions about systems discovery findings.

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.

An MCP server that enables semantic search over local files or GitHub repositories by indexing content into a serverless vector database, allowing AI assistants to understand meaning rather than just keywords.

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.

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

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.

An MCP server that provides a flexible lens into directory structures and files, enabling LLM clients to efficiently navigate and understand codebases with minimal noise. It offers secure, gitignore-aware file access with tools like directory listing, file reading, and grep-like search.

Enables natural language Kubernetes operations, including smart resource queries, pod root-cause analysis, cross-environment diffs, and manifest generation.

Enables users to ask questions about their spreadsheets in plain English and receive instant answers using DuckDB-powered analytics, supporting multiple file formats like Excel, CSV, and Parquet.

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.

Provides tools to fetch recent earthquake data from JMA/P2P/USGS catalogs and compute Gutenberg-Richter b-value and Omori-Utsu aftershock decay statistics using maximum likelihood estimation.

Provides deterministic structured thinking grids and validation for AI agents, enabling consistent multi-lens analysis without network calls or model inference.

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.

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Enables AI agents and assistants to query Polish electricity market data from the SENS Energy Data API by discovering operators and tariffs, fetching composite prices, and inspecting tariff components through natural language.