Merge pull request #10211 from saltymaverick/add-groundwork-mcp

Add Rarefied Earth Groundwork MCP 🤖🤖🤖
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Frank Fiegel
2026-07-22 14:40:13 +02:00
committed by GitHub
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@@ -2241,6 +2241,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [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.
- [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.
- [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/)
- [ragieai/mcp-server](https://github.com/ragieai/ragie-mcp-server) 📇 ☁️ - Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.
- [ravi-labs/mindmap-mcp-server](https://github.com/ravi-labs/mindmap-mcp-server) [![ravi-labs/mindmap-mcp-server MCP server](https://glama.ai/mcp/servers/ravi-labs/mindmap-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/ravi-labs/mindmap-mcp-server) 📇 🏠 - Local-first memory & context-handoff across AI tools — capture context in one tool, resume it in another, with graceful decay, a persona layer, and a portable memory passport.
- [remembra-ai/remembra](https://github.com/remembra-ai/remembra) [![remembra MCP server](https://glama.ai/mcp/servers/remembra-ai/remembra/badges/score.svg)](https://glama.ai/mcp/servers/remembra-ai/remembra) 🐍 📇 🏠 ☁️ 🍎 🪟 🐧 - Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. 100% on LoCoMo benchmark. Self-hosted.