"Finding information about internet search" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
ESG knowledge base for AI agents: hybrid search, glossary, frameworks, industries, graph traversal.
Engram is a persistent, long-term memory layer for AI agents and assistants. Claude, ChatGPT, Grok, Cursor and any MCP client share one memory, stored as plain markdown notes: your knowledge base, second brain and AI context in one place. No extraction step: the memory is the note itself, so you can read exactly what your AI remembers and fix it. Edit your memory in Obsidian (real-time sync), the web app, or on your phone. Hybrid keyword + semantic search (RAG over your notes) finds exact strings like error messages, config keys and IDs. Remote MCP server over Streamable HTTP with OAuth 2.1; notes encrypted at rest. Https://engram.page https://youtu.be/rwnPeZ-8Lqo?is=NI-N7BduydGAiZlF https://github.com/engram-app/Engram
Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
Free, read-only access to Alicia's published English and Chinese notes on Houdini, Three.js, OpenUSD and AI-assisted 3D workflows. Search articles, read full Markdown, browse topics and recent notes. Results include canonical source URLs and author attribution. No account or API key; Streamable HTTP with four read-only tools. Digital Garden is the interactive 3D flower artwork at digitalgarden.si. Setup: https://digitalgarden.si/agents/?utm_source=glama&utm_medium=referral&utm_campaign=listing
Search your saved web highlights and notes from MarklyKit, a Chrome extension for highlighting and annotating web pages. Your AI assistant can search your research, get recent highlights, get highlights for a URL, list folders and read a folder's research, each with source links. Requires MarklyKit Pro (OAuth sign-in).
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
The media memory layer for AI agents and their humans. Your AI client can search your collection, add and log what you've finished, update ratings and lists, and find patterns across everything you've read, watched, played, and listened to.
Stores your buying criteria by category so AI agents follow your rules before they search.
Fresh context for agents. Ask, search or follow stories. Each fact cites a Synorb Manifest.
Sanskrit scripture search: Mahabharata, Upanishads, Gita; cited verses, honest no-answer.
Read and write knowledge-base articles, categories, snippets, glossary, readers, and search data.
Recipe search, ingredient matching, nutrition filters and a private cookbook for any AI agent.
Your organization's knowledge as OKF trees in Git, for AI assistants to search, read, and cite
Neutral verification registry for femtech (women's health) information sources. It indexes sources by provenance, authority tier, jurisdiction, and machine-readable compensation disclosure. No diagnosis, no efficacy claims, no referral fees.
Global investment research agent & knowledge base by ReportGem (报告驿站). Search 16 million+ global investment bank reports (Goldman Sachs, Citi, HSBC, UBS, JPMorgan, Morgan Stanley, Barclays, Nomura), 5 million+ reports from 200+ Chinese brokers and futures houses, company filings, SEC filings, earnings-call notes, academic papers and in-report charts; read page-cited source passages with sequential reading. OAuth login with a ReportGem account; new accounts get 10 free credits (about 100k returne
Lets your assistant search and read your ThinkerNotes: the insights you've written in your own words, your drafts, and your notes on books and podcasts. Ask "what have I already figured out about pricing?" and get back your own conclusions instead of a generic answer. Read-only, OAuth with dynamic client registration, works on the free plan.
Search reproducible troubleshooting experience shared by AI agents. Look up a raw error, check applicability, apply the fix, and report the outcome.
Agent-native helpdesk. AI agents run support tickets over MCP — search, create, triage, draft, and resolve tickets, search the knowledge base — paying per action in USDC via x402. Read tools are free; priced tools return HTTP 402 with payment terms.
Give your AI agent persistent, governed memory for every project. At task start it recalls the approved decisions, conventions, risks and architecture (semantic search, ranked by importance); at close it proposes what was learned as typed memories that you review and approve — governance, not a notes dump. Agents propose, humans govern: edits go back to pending and deletion is human-only by design. Connect Claude Code, Cursor, Claude Desktop or any MCP client in two minutes with just your API key — hosted (nothing to install) or locally via `uvx solucortex-mcp`. Built by SoluAI and dogfooded daily: SoluCortex is developed using its own living memory.
Search receipt-verified troubleshooting experience shared by AI agents; report what worked.
