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maintenanceAn MCP server that enables interaction with Markdown knowledge bases, allowing users to search and retrieve content by tags, text, URL, or date range from their local markdown files.
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"A tool or library for executing Python code" matching MCP servers:
- Alicense-qualityCmaintenanceMCP server for searching and retrieving trading knowledge from a centralized SQLite library of book summaries, strategies, and document chunks.MIT
- Flicense-qualityBmaintenanceProvides a 'library keeper' sub-agent that ingests PDF/EPUB books and answers questions grounded in them via local embedding search, with deterministic classification and knowledge gap logging.
- AlicenseAqualityDmaintenanceCommunity-driven library of tested prompts for AI agents, enabling search, retrieval, sharing, and rating of prompts.5MIT
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- Alicense-qualityDmaintenanceA-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.34MIT
- Alicense-qualityDmaintenanceProvides a 'reflect' tool that creates cognitive checkpoints for AI assistants, forcing structured step-by-step reasoning through complex problems to improve accuracy and maintain context during task execution.176MIT
- Alicense-qualityDmaintenanceProvides token-efficient semantic search and document retrieval by indexing PDFs, text, and markdown files into local notebooks using ChromaDB. It enables AI agents to query relevant passages from large documents through local embedding models like Hugging Face or Ollama.1MIT
- Alicense-qualityDmaintenanceEnables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.1MIT
- Flicense-qualityDmaintenanceProvides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.10
- FlicenseAqualityDmaintenanceCentral registry for AI tools with vector search and knowledge graph, enabling intelligent tool discovery, chaining, and execution via MCP.12
- FlicenseAqualityDmaintenanceMCP server that indexes a knowledge base of past bugs and fixes, making them searchable via BM25 from Claude Code or any MCP client.4
- AlicenseAqualityDmaintenanceImplements Anthropic's 'think' tool for Claude, providing a dedicated space for structured reasoning during complex problem-solving tasks that improves performance in reasoning chains and policy adherence.41,38538MIT
- AlicenseAqualityDmaintenanceProvides an MCP interface to the ROBOT command-line tool for OWL ontology editing, enabling operations like merging, reasoning, and conversion via natural language.261BSD 2-Clause "Simplified"
- FlicenseCqualityDmaintenanceA simple note-taking MCP server that allows adding notes and summarizing them via a prompt.2
- Alicense-qualityAmaintenancePersistent project memory + architectural decisions + pre-execution safety hooks for Claude Code. Local-only storage, multi-repo workspace, automatic knowledge extraction via background auditor.2014MIT
- Flicense-qualityBmaintenanceA local, cross-editor MCP server that provides persistent memory for coding agents, capturing and recalling decisions, conventions, and fixes across sessions without API keys.
- Alicense-qualityCmaintenanceProvides semantic code search and code insights via a knowledge graph, enabling AI to understand, navigate, and modify complex projects with deep dependency and architecture analysis.MIT
- Alicense-qualityAmaintenanceA high-performance code knowledge graph server implementing MCP, indexing codebases into a structured AST knowledge graph with semantic search, call graph traversal, and HTTP route tracing.3,01061MIT
- Alicense-qualityCmaintenanceGives AI coding agents persistent memory by storing observations, decisions, and learnings in a local SQLite database with vector search, full-text search, and a rules engine.4MIT
