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Add Glama score badge to obsidian-mcp

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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>
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Max Kuminov
2026-05-17 09:03:50 -04:00
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@@ -1649,7 +1649,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [lyonzin/knowledge-rag](https://github.com/lyonzin/knowledge-rag) [![lyonzin/knowledge-rag MCP server](https://glama.ai/mcp/servers/lyonzin/knowledge-rag/badges/score.svg)](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. - [lyonzin/knowledge-rag](https://github.com/lyonzin/knowledge-rag) [![lyonzin/knowledge-rag MCP server](https://glama.ai/mcp/servers/lyonzin/knowledge-rag/badges/score.svg)](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.
- [markmhendrickson/neotoma](https://github.com/markmhendrickson/neotoma) [![Neotoma MCP server](https://glama.ai/mcp/servers/markmhendrickson/neotoma/badges/score.svg)](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) - [markmhendrickson/neotoma](https://github.com/markmhendrickson/neotoma) [![Neotoma MCP server](https://glama.ai/mcp/servers/markmhendrickson/neotoma/badges/score.svg)](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)
- [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. - [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.
- [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. - [maxkuminov/obsidian-mcp](https://github.com/maxkuminov/obsidian-mcp) [![maxkuminov/obsidian-mcp MCP server](https://glama.ai/mcp/servers/maxkuminov/obsidian-mcp/badges/score.svg)](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.
- [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 - [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
- [tverney/mcp-agent-memory](https://github.com/tverney/mcp-agent-memory) [![tverney/mcp-agent-memory MCP server](https://glama.ai/mcp/servers/tverney/mcp-agent-memory/badges/score.svg)](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` - [tverney/mcp-agent-memory](https://github.com/tverney/mcp-agent-memory) [![tverney/mcp-agent-memory MCP server](https://glama.ai/mcp/servers/tverney/mcp-agent-memory/badges/score.svg)](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`
- [memstate-ai/memstate-mcp](https://github.com/memstate-ai/memstate-mcp) [![memstate-mcp MCP server](https://glama.ai/mcp/servers/memstate-ai/memstate-mcp/badges/score.svg)](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. - [memstate-ai/memstate-mcp](https://github.com/memstate-ai/memstate-mcp) [![memstate-mcp MCP server](https://glama.ai/mcp/servers/memstate-ai/memstate-mcp/badges/score.svg)](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.