"Information about extraction techniques or processes" matching MCP connectors:

Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.

Citation-health over a CC0 citation graph: what supports, refutes, or cites a paper. Read-only.

Search and read public Wikivibe articles about AI coding, agents, MCP, GEO, bots and deployment.

Diffbot MCP — Knowledge Graph company enrichment + web content extraction (diffbot.com)

Authoritative information about Jennifer Rebholz, Arizona personal injury attorney and trial lawyer.

Biblical and theological research MCP server. Ask pastoral questions, run academic-grade queries across 2M+ scholarly passages (lexicons, commentaries, church fathers, Dead Sea Scrolls, Talmud), or search raw sources directly. Free, no API key required.

Search everything you save: YouTube, articles, podcasts, PDFs, Notion, Obsidian. API key or OAuth.

Personal AI memory server running on Android. Connect your Claude or Perplexity to memory stored on your own phone.

Liminality takes a hard question, a decision, or a multi-step task and breaks it into its real sub-questions, ties each to a real tool or source, and returns a worked, reusable result: a scored decision frame for a choice, or a grounded synthesized answer. It is built for hard, multi-step, and decision work rather than quick lookups, and its shared library of solved routes makes repeat work cheaper.

Docsie MCP brings your documentation workflow directly into your AI assistant. Create, edit, and publish documentation without switching between tools. Convert videos into structured documentation instantly, run compliance analysis across text, audio, and video content, and use semantic search to find exactly what you need across your knowledge base. Whether you're building product documentation, SOPs, user guides, or technical manuals, Docsie MCP makes documentation faster, smarter, and powered

Persistent memory for AI assistants. Save once; recall from Claude, ChatGPT, or any MCP client.

Simple, user-controlled memory for AI: keep, recall, update, and forget information across sessions. Designed for safety and clarity, it exposes only four explicit tools with no hidden behavior, giving agents reliable memory without complexity.

Cross-AI personal memory. Save once in ChatGPT, recall in Claude, Mistral, Grok, or any MCP client.

Penlog is an Apple Pencil journaling app for iPad that reads each handwritten page into structured tasks, notes, and priorities. Its MCP server exposes that journal to your AI: search pages by topic, pull open tasks with reconciled status, read a full day's page, and create or update tasks that appear on your handwritten page and sync to Notion. Write by hand. Work with everything.

SPM turns project knowledge into scoped, temporal, verifiable and injectable context for AI agents. It structures and summarizes project memory, tracks original intent, working state, current truth and history, preserves source traceability, and creates context packs that agents can query, verify and consume through MCP, CLI or API. The hosted MCP surface is project-scoped and does not expose billing, checkout or destructive admin tools.

Save an AI chat's working state, load it in any other model or provider. Verified, secret-safe.

LLMtoMD is the memory layer for AI coding agents. It converts any document — PDF, DOCX, slides, spreadsheets, images, audio, even whole websites — into clean, structured Markdown, then exposes it over MCP so your agent can search your FRDs, specs, and API docs on demand instead of re-reading (or forgetting) them.

Reasoning, code, anti-deception, memory harness MCP tools. Stdio or HTTPS api.ejentum.com/mcp

Stateless agentic tools over MCP: concept extraction, long-context, knowledge graph, planning.

Voice-led, FSRS-scheduled flashcards from YouTube, PDFs, web, or text. Auto-graded quizzes.