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Add pipeshub-ai/mcp-server to Knowledge & Memory

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Co-authored-by: Cursor <cursoragent@cursor.com>
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Shekhar Kadyan
2026-09-11 17:32:53 -07:00
co-authored by Cursor
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@@ -2710,6 +2710,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [pfillion42/memviz](https://github.com/pfillion42/memviz) 📇 🏠 🍎 🪟 🐧 - Visual explorer for [MCP Memory Service](https://github.com/doobidoo/mcp-memory-service) SQLite-vec databases. Browse, search, filter, edit memories with dashboard, timeline, UMAP projection, semantic clustering, duplicate detection, and association graph.
- [Piccolo123/url-manager-mcp](https://github.com/Piccolo123/url-manager-mcp) [![url-manager-mcp MCP server](https://glama.ai/mcp/servers/Piccolo123/url-manager-mcp/badges/score.svg)](https://glama.ai/mcp/servers/Piccolo123/url-manager-mcp) 📇 🐍 🏠 🍎 🪟 🐧 - Agent-first cross-platform bookmark & knowledge manager. AI agents collect web pages from any source (pairs naturally with Fetch, Firecrawl, Brave Search) and auto-categorize into organized collections with search, tags, and shared folders. 16 tools including `agent_register` (zero-config onboarding), `add_footprint`, `search_footprints`, `create_shared_category`. `pip install -r requirements.txt && python server.py`
- [pinecone-io/assistant-mcp](https://github.com/pinecone-io/assistant-mcp) 🎖️ 🦀 ☁️ - Connects to your Pinecone Assistant and gives the agent context from its knowledge engine.
- [pipeshub-ai/mcp-server](https://github.com/pipeshub-ai/mcp-server) [![pipeshub-ai/mcp-server MCP server](https://glama.ai/mcp/servers/pipeshub-ai/mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/pipeshub-ai/mcp-server) 📇 🏠 ☁️ - Permission-aware enterprise search and RAG for PipesHub. Chat, search, citations, records, sources, and agents over Streamable HTTP or local stdio (`npx @pipeshub-ai/mcp`). Official registry: `io.github.pipeshub-ai/mcp`.
- [pomazanbohdan/memory-mcp-1file](https://github.com/pomazanbohdan/memory-mcp-1file) 🦀 🏠 🍎 🪟 🐧 - A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI agents.
- [ProfessionalWiki/MediaWiki-MCP-Server](https://github.com/ProfessionalWiki/MediaWiki-MCP-Server) [![ProfessionalWiki/MediaWiki-MCP-Server MCP server](https://glama.ai/mcp/servers/ProfessionalWiki/MediaWiki-MCP-Server/badges/score.svg)](https://glama.ai/mcp/servers/ProfessionalWiki/MediaWiki-MCP-Server) 📇 ☁️ 🏠 🍎 🪟 🐧 - Read, search, and edit any MediaWiki wiki (Wikipedia, Fandom, corporate wikis) with OAuth and multi-wiki support. 50+ tools, including Semantic MediaWiki, Cargo, Wikibase, NeoWiki, and Bucket queries. Listed in the official MCP registry. `npx @professional-wiki/mediawiki-mcp-server`
- [Rarefied-Earth/groundwork](https://github.com/Rarefied-Earth/groundwork) [![Rarefied-Earth/groundwork MCP server](https://glama.ai/mcp/servers/Rarefied-Earth/groundwork/badges/score.svg)](https://glama.ai/mcp/servers/Rarefied-Earth/groundwork) 📇 ☁️ - Hosted company-state MCP for operating SMBs (brand, voice, charter, priorities, entitled modules/skills). Anonymous public discovery at `https://connector.rarefied.earth/public/mcp` proves live value in under 10 seconds; tenant feed after trial. Official registry: `io.github.Rarefied-Earth/groundwork`. [Product](https://rarefied.earth/groundwork/)