"Lens" matching MCP servers:

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.

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.

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

Deterministic navigation maps over code AND markdown for AI agents: one MCP server, two lenses (tree-sitter TS/JS/Python + markdown). Map a whole project, read one function or one doc-section, ~99% less context. Merges codelens + docslens.

Gemini-powered MCP server for automated code review, analysis, and documentation.

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 navigate source code structurally via tree-sitter over MCP, offering outline-based reading, AST pattern search, workspace-scale symbol indexing, call graph analysis, and built-in security audit queries.

A black-box flight recorder for RAG retrieval inside MCP agents. Logs what chunks the model saw, scores, sources, and rankings - so you can audit, replay, and diff retrieval runs after the fact.

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

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.

Enables explaining Linux incidents over SSH with baseline-aware MCP tooling, including live diagnostics, SQLite history, and review-first workflows.

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.

Enables AI agents to inspect and control a live Chromium browser for frontend debugging, providing console logs, network requests, DOM snapshots, and accessibility analysis.

Cross-repository code intelligence server that enables AST-based search for functions, classes, types, and API routes across local JavaScript/TypeScript and PHP repositories.

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.

Measures brand visibility in AI-powered search sources and provides actionable GEO recommendations.

Enables AI assistants to scan websites, public repositories, and OpenClaw/CLAW skills for security vulnerabilities, including local skill-package analysis before installation, cloud scans, and remediation guidance.

Enables AI agents to search Kagi using a personal Kagi Session Link, providing web search results and account lens information.

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