"Slint" matching MCP servers:

Enables previewing base64-encoded images in a native GUI window using Slint, with support for window reuse, always-on-top, and show/hide functionality.

Offline MCP server for SAP ABAP static analysis, ABAP Cloud readiness scoring, and RAP scaffolding. It enables AI agents to lint ABAP source, compare reworks, check released APIs, and generate RAP business objects without needing an SAP system.

Enables programmatic access to EndNote .enl libraries, allowing users to list, search, and extract full text from bibliographic references and their attached PDFs through MCP tools.

Enables AI assistants to lint, render, fix, inspect, and find free space in KiCad schematics and PCBs, providing visual feedback and safe automated text fixes.

Lint agent SKILL.md files and MCP tool schemas to catch issues like missing descriptions, similar skills, unconstrained parameters, and destructive tools without confirmation gates.

Lints local Markdown files or whole directory trees for broken relative links and images, empty link targets or text, heading hierarchy problems, and common README issues. Only relative targets on disk are checked, so external http(s) links are never fetched.

Provides an agent-first note-taking system designed from the ground up for AI collaboration. Organizes your notes as a local vault of ordinary markdown files with semantic note types.

Validates schema files against customizable lint rules using Claude or Gemini AI, supporting JSON and SQL schemas with rules for naming, structure, and migration safety.

Validates AGENTS.md files against the cross-vendor coding-agent spec, detecting security smells and consistency issues.

Enables AI assistants to identify and judge unexplained terms in prose documents by providing differential linting, term context, and ledger management.

Structured agent memory system with hash-chain provenance, temporal decay, drift detection, provenance archaeology, vector embeddings, and git integration for OpenCode agents.

Code linting and style checking tools for AI agents, exposed as an MCP server. Supports style checks, naming conventions, complexity analysis, dead code detection, and import analysis.

An MCP server that lints, validates, and renders your Obsidian vault markdown — all inside Docker.

Lints n8n workflow exports and returns machine-readable findings with per-rule fixes, helping agents and reviewers catch reliability gaps such as missing error workflows, retries that swallow errors, unauthenticated webhooks, and hardcoded secrets without sending data anywhere.

Enables intelligent Go code quality checking with smart change detection through golangci-lint integration. Automatically detects branch development scope and focuses on current changes to avoid historical code issues.

Enables AI agents to run evidence QC gates mid-workflow—checking claims, sources, prose, and vault hygiene deterministically before research ships.

Enables AI agents to verify physical admissibility of S-parameter models and coupling matrices, preventing reasoning about impossible physics.