"Information about UI (User Interface)" matching MCP connectors:

Give AI agents context from your screen recordings. Clipy MCP searches your recording library and imported video context, retrieving summaries, timestamped transcripts, key moments, and available visual evidence. Use it to turn bug reports, UI walkthroughs, and client feedback into context your agent can investigate and act on. Connect through a hosted endpoint with OAuth sign-in.

Search screen text, audio transcriptions, app data and memories already synced to your Screenpipe account. Offers synced-devices and search-synced-content with read-only OAuth (data-sync:read). Requires Data Sync to be available and enabled. Local-only recordings are excluded; connecting does not enable uploads. Requested results go to your connected AI provider. Submitted by the Screenpipe team.

Answers about your own company from its recorded knowledge, and shows where its sources disagree.

Rafter holds a team's durable knowledge — skills, agents and memory files, each versioned — and serves it to AI tools over MCP. Agents search across the team's artifacts before answering questions about how the team works or what was decided, fetch full artifact text along with its citation edges (cites, cited_by, links) to explore related material, and write new learnings back as memory. Also covers workspace, team and membership management.

ContextBook is an open-source MCP server that gives AI tools a persistent, searchable context library. Store information as Books and Pages, retrieve exactly what's needed via natural-language semantic search - injected on demand, not pre-loaded. Works with Cursor, Claude, Windsurf, and any MCP-compatible client. Self-hostable, MIT licensed.

MCP tools for Malawian food search, clinical nutrition calculators, and RAG-backed guidance.

Answers questions about a business using its indexed website content, with cited sources.

Long-term memory for AI assistants. Isolated per-user storage, recall across conversations.

Needle

com.needle-ai.mcp

The Needle MCP server enables semantic search on documents stored in files like PDFs, DOCX, and XLSX by connecting AI applications to external data sources. It provides capabilities to create and manage document collections, perform natural language searches on stored content, and retrieve relevant information without requiring exact keyword matches.

Provides metadata information to AI agents through the search API.