Add Glama score badge to obsidian-mcp
Per Glama check on PR #6462. Server is listed at https://glama.ai/mcp/servers/maxkuminov/obsidian-mcp. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Max Kuminov committed
May 17, 2026 at 09:03 UTC
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README.md
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@@ -1649,7 +1649,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
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- [lyonzin/knowledge-rag](https://github.com/lyonzin/knowledge-rag) [](https://glama.ai/mcp/servers/lyonzin/knowledge-rag) 🐍 🏠 🍎 🪟 🐧 - Local RAG system for Claude Code with hybrid search (BM25 + semantic), cross-encoder reranking, markdown-aware chunking, query expansion, and 12 MCP tools. Runs entirely offline with zero external servers.
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- [markmhendrickson/neotoma](https://github.com/markmhendrickson/neotoma) [](https://glama.ai/mcp/servers/markmhendrickson/neotoma) 📇 🏠 🍎 🪟 🐧 - Deterministic state layer for AI agents. Stores versioned entities (contacts, tasks, transactions, decisions) with immutable observations, full provenance, and schema-first extraction. Local-first SQLite, cross-client memory across Claude, Cursor, ChatGPT, and OpenClaw. [Website](https://neotoma.io)
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- [mattjoyce/mcp-persona-sessions](https://github.com/mattjoyce/mcp-persona-sessions) 🐍 🏠 - Enable AI assistants to conduct structured, persona-driven sessions including interview preparation, personal reflection, and coaching conversations. Built-in timer management and performance evaluation tools.
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-- [maxkuminov/obsidian-mcp](https://github.com/maxkuminov/obsidian-mcp) 🐍 🏠 🍎 🪟 🐧 - Self-hosted MCP server for Obsidian with semantic + full-text search over PostgreSQL/pgvector, wikilink graph traversal, atomic note CRUD, OAuth 2.0, and a self-describing vault guide.
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+- [maxkuminov/obsidian-mcp](https://github.com/maxkuminov/obsidian-mcp) [](https://glama.ai/mcp/servers/maxkuminov/obsidian-mcp) 🐍 🏠 🍎 🪟 🐧 - Self-hosted MCP server for Obsidian with semantic + full-text search over PostgreSQL/pgvector, wikilink graph traversal, atomic note CRUD, OAuth 2.0, and a self-describing vault guide.
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- [mem0ai/mem0-mcp](https://github.com/mem0ai/mem0-mcp) 🐍 🏠 - A Model Context Protocol server for Mem0 that helps manage coding preferences and patterns, providing tools for storing, retrieving and semantically handling code implementations, best practices and technical documentation in IDEs like Cursor and Windsurf
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- [tverney/mcp-agent-memory](https://github.com/tverney/mcp-agent-memory) [](https://glama.ai/mcp/servers/tverney/mcp-agent-memory) 📇 🏠 🍎 - Persistent agent memory via filesystem-native consolidation daemon. Agents read/write/search memory through MCP; a background daemon handles consolidation and extraction. Works with Kiro, Claude Desktop, Cursor, and any MCP client. `npx mcp-agent-memory --setup`
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- [memstate-ai/memstate-mcp](https://github.com/memstate-ai/memstate-mcp) [](https://glama.ai/mcp/servers/memstate-ai/memstate-mcp) 📇 ☁️ - Versioned, structured memory for AI agents. Stores facts as keypaths with full version history, automatic conflict detection, and O(1) token retrieval.