"A local AI setup with LM Studio and a secure browser for real-time AI searches" matching MCP servers:

Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.

Gives Claude Code and other MCP clients cited answers from a local, code-aware hybrid index of a repository's documentation and source, returning path:line sections linked to the code symbols they name. It also stores session handoff notes and doc/code conflict decisions in a git-backed memory, all running offline with no API calls or data leaving the machine.

Enables MCP clients to search and read the free AI School curriculum, including 550+ tracks on AI engineering, governance, security, and applied AI by profession.

Enables AI agents to programmatically engage Agrus.ai by listing services and verticals, querying compliance positions, retrieving NDA-protected case studies, and drafting Discovery Sprint scopes for regulated industries.

An MCP server that provides indexed, searchable access to Anthropic Claude and Google Gemini documentation, with full-text search, page fetching, and section listing capabilities.

A smart documentation system that helps AI assistants understand and follow your project's conventions by automatically discovering, routing, and managing AI_README.md guide files.

Enables AI assistants to check whether a quote from the EU AI Act matches the right version on a given date, compare provisions across the 2024 and 2026 texts, and emit evidence records that anyone can recompute in a browser against signed corpus releases.

Provides a compressed knowledge graph of the NVIDIA AI developer stack for deterministic traversal, enabling agents to answer questions about dependencies and prerequisites with minimal tokens.

Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.

Enables querying a compressed knowledge graph of the NVIDIA AI developer stack, allowing users to traverse declared dependencies, prerequisites, and relationships across 20 domains via read-only MCP tools like query_ckg, get_prerequisites, and search_concepts.

Enables agents to classify AI systems, scope relevant risks and controls, investigate evidence, propose remediations, and explain results through read-only tools, reference resources, and prompts.

Read-only MCP server for Tancky AI (tancky.io): lists its online AI photo tools such as the image combiner, couple and family photo makers, background remover and upscaler, and searches its photo editing guides.

Enables MCP clients to load a ledger from an object, file path, or JSON text and inspect it as a local numeric timeline with tracks and overlapping blocks, and to open the visualization in a browser.

Exposes seven MCP tools that let an AI coding agent detect a project's stack, fetch the priority security checks for that platform, search 2,057 OWASP-derived check cards with file-and-commit provenance, and record evidence-backed pass/fail results in a report.

Enables AI assistants to automatically log and manage conversation history with developers in structured markdown format. Provides powerful search and context suggestions to help AI understand project history and maintain continuity across sessions.

Enables natural-language Q&A over multi-source documents (PDF/Markdown/web) with a self-reflective retrieval-augmented agent that cites sources, retries on poor retrieval or grounding, and supports multi-turn memory.

An MCP server that acts as an AI knowledge and skills hub, automatically discovering, indexing, and serving skill libraries to any MCP client with full-text search, rich metadata, and hot reload.

MCP server for EU AI Act compliance analysis — classify any AI system or workflow against Regulation (EU) 2024/1689, updated with AI Omnibus 2026.

Integrates IDEs with the 1C:Напарник API, providing code analysis tools and documentation search for 1C.

A self-synthesizing AI knowledge wiki that provides a read-only MCP surface for external agents to trace the wiki content and graph.

A read-only MCP server that exposes Tiramisu AI's product information, pricing, and official links to MCP-compatible AI clients.

Readme Generator AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Lets AI assistants classify an AI system under the EU AI Act, returning risk tier, obligations, and deadlines based on a plain-English description of the product.

MCP server that generates ISO/IEC/IEEE 29119-3 compliant test plan drafts from project information, providing a structured resource for the standard's test plan outline and a tool for draft creation.

Enables AI coding agents to ground dependency setup, compatibility checks, and major-version migration advice in a project's real runtime, lockfiles, and config files. It parses local project state and npm registry metadata deterministically, then returns tag-pinned install commands, breaking changes, and upgrade steps rather than generic documentation.

Provides programmatic access to Pydantic-AI documentation as an MCP server, enabling retrieval of specific documents, listing of topics, and access to changelog information.

Infrastructure layer for agentic commerce, website AI-readiness scanning, and protocol connectivity.

Enables MCP-compatible clients to search approved local Markdown runbooks, retrieve selected local host health details, and get bounded Kubernetes pod-status summaries for allowlisted clusters and namespaces.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

Enables coding assistants to query Resemble AI documentation, search pages, and access OpenAPI schemas for code generation.