From 5117a2ade06f6d6263dc1fa9aa2fa62652115f93 Mon Sep 17 00:00:00 2001 From: Piccolo123 Date: Mon, 20 Jul 2026 17:38:07 +0800 Subject: [PATCH] =?UTF-8?q?Add=20Piccolo123/ai-footprints-mcp=20=E2=80=94?= =?UTF-8?q?=20Agent-first=20bookmark=20&=20knowledge=20manager?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit AI θΆ³θΏΉ MCP Server: cross-platform bookmark manager that pairs with Fetch, Firecrawl, and Brave Search MCPs for end-to-end content collection β†’ storage workflows. 16 tools with zero-config agent onboarding (agent_register). --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index a1980e06d..02b678087 100644 --- a/README.md +++ b/README.md @@ -2184,6 +2184,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [Perseus-Computing-LLC/perseus-vault](https://github.com/Perseus-Computing-LLC/perseus-vault) [![Perseus-Computing-LLC/perseus-vault MCP server](https://glama.ai/mcp/servers/Perseus-Computing-LLC/perseus-vault/badges/score.svg)](https://glama.ai/mcp/servers/Perseus-Computing-LLC/perseus-vault) πŸ¦€ 🏠 🍎 πŸͺŸ 🐧 - Local-first, MCP-native persistent memory for AI agents β€” a single Rust binary with embedded SQLite, hybrid FTS5 + dense-vector search, and optional AES-256-GCM encryption. Fully offline, no cloud. - [peterbeck111/knowledgelib-io](https://github.com/peterbeck111/knowledgelib-io) [![peterbeck111/knowledgelib-io MCP server](https://glama.ai/mcp/servers/peterbeck111/knowledgelib-io/badges/score.svg)](https://glama.ai/mcp/servers/peterbeck111/knowledgelib-io) πŸ“‡ ☁️ - Search 1,500+ pre-verified, cited knowledge units across 16 domains. 6 tools: query, batch query, get unit, list domains, suggest topics, report issues. Confidence scores, source provenance, and freshness tracking. Free, no API key required. - [pfillion42/memviz](https://github.com/pfillion42/memviz) πŸ“‡ 🏠 🍎 πŸͺŸ 🐧 - 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/ai-footprints-mcp](https://github.com/Piccolo123/ai-footprints-mcp) 🐍 🏠 🍎 πŸͺŸ 🐧 - 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) πŸŽ–οΈ πŸ¦€ ☁️ - 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) πŸ¦€ 🏠 🍎 πŸͺŸ 🐧 - A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI agents. - [ragieai/mcp-server](https://github.com/ragieai/ragie-mcp-server) πŸ“‡ ☁️ - Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.