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maintenanceEnables fetching Google's AI Overview answers and cited sources as structured JSON, with support for batch queries and country/language targeting.
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"A comparison or overview of Obsidian and Logseq" matching MCP servers:
- AlicenseAqualityCmaintenanceProvides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.4MIT
- FlicenseNot gradedqualityAmaintenanceEnables semantic search and note management for Obsidian vaults via the Model Context Protocol, allowing LLMs to search, read, and index notes, PDFs, and web pages locally.
- FlicenseNot gradedqualityDmaintenanceProvides semantic search over Obsidian markdown notes using BAAI/bge-m3 embeddings and ChromaDB, accessible via the Model Context Protocol.
- FlicenseNot gradedqualityDmaintenanceEnables semantic search over local knowledge bases like Obsidian notes, SQLite, and plaintext files, exposing results to Claude via MCP server.
- FlicenseNot gradedqualityBmaintenanceProvides search and retrieval over a local database of Pathfinder 2e rules. Enables Claude Code to answer rules questions with cited, accurate answers from fetched entries.
- AlicenseAqualityCmaintenanceMCP server that integrates with LM Studio to provide a search_notes tool, allowing the chat model to retrieve and answer from a local Obsidian vault.1MIT
- AlicenseAqualityBmaintenanceRead-only semantic retrieval for agents that need to find the right Obsidian note without write access.4350MIT
- AlicenseBqualityDmaintenanceShrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.155221MIT
- FlicenseDqualityDmaintenanceAn MCP server that uses Groq's API to expose raw chain-of-thought tokens from Qwen's qwq model, enabling LLMs to think step-by-step before responding.112
- AlicenseNot gradedqualityBmaintenanceA persistent memory layer for Claude Desktop that enables semantic search and CRUD operations on your Obsidian vault using local embeddings and PostgreSQL+pgvector.1Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables semantic search over an Obsidian vault using natural language, retrieving relevant notes and extracted conclusions.MIT
- AlicenseNot gradedqualityBmaintenanceEnables semantic search and reading of Obsidian Markdown notes through read-only MCP tools, allowing Claude to retrieve relevant passages from a local vault.MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to search and retrieve historical Spanish Call of Duty gaming community posts, with free search previews and pay-per-page citation-ready access via x402.MIT
- AlicenseNot gradedqualityCmaintenanceEnables hybrid vector-BM25 search and retrieval of Obsidian vault knowledge notes, allowing AI assistants like Claude to efficiently access relevant chunks without full file reads.MIT
- AlicenseNot gradedqualityCmaintenanceEnables indexing and searching Obsidian notes via MCP, using Cloudflare's serverless platform for cost-effective vector embeddings and AI-powered search.9MIT
- AlicenseNot gradedqualityAmaintenanceMCP server that indexes Obsidian notes and enables hybrid search (full-text, fuzzy, semantic) for AI assistants to find and read notes.68098MIT
- AlicenseNot gradedqualityCmaintenanceTransforms prompts into Chain of Draft (CoD) or Chain of Thought (CoT) format to enhance LLM reasoning quality while reducing token usage by up to 92.4%, supporting multiple LLM providers including Claude, GPT, Ollama, and local models.2519MIT
- AlicenseNot gradedqualityAmaintenanceEnables semantic search and retrieval over an Obsidian vault using local or API-based embeddings, allowing AI assistants to find notes by meaning, get related content, and pull context during conversations.14MIT
- FlicenseNot gradedqualityBmaintenanceEnables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.4