"Slint" matching MCP servers:

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.

A global marketplace MCP server enabling OpenCode instances to publish, search, and exchange MCP server capabilities, knowledge, and ideas over a distributed network via SMTP relay.

Servidor MCP para integração com o Clint CRM. Gerencie contatos, negócios, tags, organizações e toda a configuração do seu CRM diretamente através de assistentes de IA compatíveis com MCP.

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

Model Context Protocol (MCP) server wrapping mcp-lint to perform static analysis and schema checking on other MCP servers.

MCP server to lint and validate Kubernetes-related manifests(Helm, FluxCD, ArgoCD, Kustomize, etc.)

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

Resonance Detection MCP server that proactively finds cross-domain pattern matches between the current problem and past experiences.

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

Tracks what an agent KNOWS vs INFERS vs ASSUMES with calibrated confidence. Provides tools to register, query, and analyze epistemic status of claims across domains.

MCP server that reads PDFs and exposes them as structured Markdown, metadata, outlines, images, and tables to LLM consumers via tools like pdf_read_markdown and pdf_info.

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.

Enables automated agents and writers to check Norwegian and English prose before sending, returning concrete style findings, revision hints, and verdicts instead of authorship claims, with a no-judgment band, positive quality checks, a private local mode, and phrase-bank memory.

Static checks over an MCP tool surface to find where a caller could do the wrong thing and get no error back.

Validate AWS CloudFormation templates using cfn-lint, with tools for validation, version checking, and automatic upgrades.