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"Unity Development Platform or Related Topics" matching MCP connectors:

Matching Connector Tools:

  • Canonical vocabulary server for autonomous business design. Exposes the Arco Lexicon as seven MCP tools: term lookup, related terms, alignment verification, citation formatting, source retrieval, term listing, and term suggestion. No authentication required. Streamable HTTP transport.

  • blicht.com knowledge platform: full-text search + Markdown articles (e-commerce, AI, lifestyle)

  • MCP server for Argo RPG Platform — connects AI assistants to campaign data via OAuth2

  • Mitosis agent-memory platform: pricing, docs search, platform status, agent skills. No auth.

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

  • 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.

  • 162K English words, 74K lessons, knowledge graph, semantic reverse-dictionary search.

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

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

  • 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.

  • RChilli MCP Hub is a production-grade MCP server that exposes RChilli's full HR data intelligence platform as 17 AI-callable tools across 4 categories. Built on 15+ years of HR data intelligence, it is trusted by ATS vendors, HR technology platforms, staffing agencies, and enterprise recruiting teams worldwide. Every tool is read-only and returns a consistent, structured JSON response — no raw exceptions, no inconsistent formats.

  • 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.

  • Open-source all-in-one MCP-first customer platform: KB, Conversations, CRM, CMS, Outreach, Analytics

  • Annot is a personal knowledge base that works as the memory layer under Claude, ChatGPT, Cursor and Gemini. Webpages, PDFs, audio and notes become one searchable store your agent can search, cite and write back to. Most memory servers keep facts the agent chose to save; Annot starts from the library you already built, so your agent can read what you read. 29 tools: search, context loading, write-back, topics, export. Annot account required (invite-only beta).

  • An AI-native context platform that accumulates an organization's judgment. Built by South Gate Inc.

  • Illumora Craft — evidence-augmented prompt compile for agents via remote MCP (OAuth) or local stdio.

  • 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.