"Material Design Icons" matching MCP servers:

Provides source-backed design context, route card validation, contract generation, critique and verification reports, evidence packages, Penpot change plans, and anti-repeat checks for design workflows. Does not directly mutate Penpot, but consumes read-only Penpot snapshots.

Design contract layer for AI agents. Scans Figma, code, Storybook, and token files, reconciles conflicts, and serves a single machine-readable source of truth so every agent gets the same authoritative design rules before it builds. Local-first.

Lets MCP clients search vetted public listings and their own private library of coding-agent sessions, load a saved session as bounded starting context, and save the current transcript privately, reusing an existing command-line sign-in. Sessions are scrubbed and framed as untrusted reference material, and acquiring a paid listing never completes a purchase automatically.

Exposes Nima Karami's curated, public-safe career history. Allows AI to select and tailor pre-approved material for queries.

MCP server bridging ChatGPT-compatible clients to the Design Flow System, enabling project session management, draft import, round locking, and read-only access to design state and traceability.

Enables storing and querying structured information about software code entities (classes, functions, files) and their relationships (calls, imports) along with qualitative observations like design decisions and change rationale.

A design knowledge MCP server that Claude can query when generating UI, covering eight layers: principles, patterns, content design systems, research methods, service design, brand/visual, business strategy, and design tokens.

Enables users to create and control portable, user-owned memory archives, including saving memories, reflections, values, and stories, exporting them as open JSON, publishing or discovering public archives, and loading consented material as a clearly-labelled memory-based AI persona.

Enables coding agents to turn mechanical requirements into validated FreeCAD models with deterministic sizing from published standards, standard-part provenance, and automatic geometry validation.

Enables AI clients and agents to turn a new idea into a structured set of clarifying questions, technology options, upward design breakdowns, reverse reasoning, and risk assessments so users can steer top-level design decisions. It also supports saving insights and building a bidirectional design tree of concepts and their implementations.

Provides systematic thinking tools including mental models, design patterns, debugging approaches, and collaborative reasoning frameworks to enhance problem-solving and decision-making capabilities.

Enables AI agents to keep a dedicated local workspace for file-producing tasks, preserving source material, numbered output versions, checks, and approvals so work can be resumed across conversations. It also tracks declared inputs and workflow steps so affected stages can be rebuilt and versioned recipes reused for new tasks.

An MCP server that provides AI tools with relational tech principles, patterns, and the Studio library to guide builders in creating community-centered tools using embedded design.

Experimental load-path analysis for 3D-printed STL parts, with stress and movement comparisons across CAD revisions, PNG captures, visual reviews, and persistent human-guided design sessions. Runs locally through a stdio MCP server.

MCP server for creating and managing Mindola lenses, which are grounded AI pages that answer questions from your own material with citations. Enables AI assistants to create lenses, add knowledge, and monitor status through natural language.

MCP server that provides access to over 100 development skills for frontend, backend, integration, design, devops, and process categories via Claude Code and other MCP clients.

Quizlar is the learning MCP server. It turns whatever source the user brings — a YouTube lecture, a PDF, a URL, a textbook passage, or a pasted block of notes — into flashcards, then runs interactive quizzes with FSRS spaced-repetition scheduling so the material actually sticks. Every tool maps one-to-one to something a real learner does: ingest, quiz, track progress, review what's due.

Enables AI assistants to read Lanhu design collaboration content: extracting and analyzing Axure prototype pages, downloading UI designs and slices, and converting design specs into HTML+CSS for implementation. It also provides a shared team message board so multiple AI tools can reuse requirement analyses and knowledge across projects.

Provides local-first retrieval over long design conversations, enabling users to find where a decision was made, why, and what replaced it, with turn and line range citations through hybrid retrieval, typed judgment rerank, exact search, and five MCP tools.

Lets many Claude sessions on a LAN or VPN search, read, and contribute to one shared Obsidian-format Markdown wiki, with contributions queued in an inbox rather than editing the wiki directly. A separate locked-down nightly curator run is the only writer that merges inbox material into the vault.

Enables AI coding agents to access evidence-backed repository memory, code graph, project DNA, and deterministic change validation so they understand design decisions, past bugs, and invariants while working.

Lets AI agents retrieve source-linked passages from a local folder of Markdown notes or an Obsidian vault, optionally following the explicit links between notes, and can also fetch passages from pinned public GitHub files you configure. It returns bounded evidence packets with original text, file paths and hashes so agents can answer from your material rather than generating content themselves.

Gives AI agents persistent, shared memory by ingesting notes, code, transcripts, and session captures, then serving token-optimized context and hybrid keyword/semantic search over MCP and REST. Agents can classify, promote, and synthesize stored material so each session builds on prior work instead of starting from zero.

Enables querying a plant knowledge graph for companion planting, climate suitability, and landscape design recommendations via natural language.

Enables Claude Code to design and run a hierarchical company of role-specific agents with persistent memory, vetted GitHub skills, enforced reviews, and auditable multi-agent orchestration over MCP.

MCP server exposing eight esoteric calculation systems (Western/Vedic astrology, Human Design, Gene Keys, and more) through 14 tools, with deterministic profiles, partial success, and OAuth integration.

An MCP server that provides governed metric definitions and provenance-labeled memory for materials test labs, enforcing quality system discipline on agent interactions.

Enables Claude Code to use local markdown notes as persistent, searchable memory with hybrid recall, episodic memory, note-graph traversal, design memory, and optional cloud sync.

Turns any source material into a guided learning experience with learning maps, notes, four-phase study loop, spaced repetition flashcards, and grounded Q\&A.

Lets coding agents index and search local PDF books, retrieve relevant passages with citations, and persist design lessons for system design and implementation tasks.

MCP server that indexes and serves design skills, guides, and patterns from the taste-skill library, enabling structured retrieval and workflow prompts for design, redesign, and image generation.

Enables AI agents to store and retrieve design decisions as Markdown in git repositories, and check new proposals against historical decisions via MCP.

Enables MCP clients to search and read a local library of saved prompts, skills, MCP servers, and design boards, fill prompt blanks, and retrieve board design briefs through read-only, offline tools, prompts, and resources.

Enables AI clients to create spaced-repetition flashcards from material being learned, quiz users aloud, grade answers, and schedule reviews using the FSRS algorithm through a self-hosted MCP server.

Enables AI coding agents to search a shared, sourced corpus of past Claude Code and Codex sessions and curated notes, retrieve full conversations and timelines, and write or extend memory in either a committed or confidential, git-ignored layer. Confidential material is withheld from results unless explicitly requested.

Reusable, read-only MCP server that exposes a repo's knowledge files (backlog docs, decisions, design notes) as MCP resources over stdio.

Enables AI agents to search a local SQLite knowledge base before fetching, save fetched documents with deduplication, and retrieve full text with metadata, preventing redundant fetches and fabrication.

Enables Claude to access and update a team's design knowledge stored in a local Markdown folder, including searching decisions and recording new conventions.

Enables AI assistants like Cursor and Claude Desktop to access a local AI Material Cabinet for searching, reading/writing content, creating documents, and retrieving chunks via MCP.

Serves a unified local memory bank over a stdio MCP server, exposing five tools and one resource so any MCP-capable harness can list, search, and read memories imported from Claude Code, Codex, Cursor, Kimi Code, and ZCode. It gives agents a single read-only view of user preferences, feedback, project state, and reference material stored as plain Markdown files.