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maintenanceFireproof ledger database with multi-user sync
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"An introduction to SQL and database queries" matching MCP servers:
- Alicense-qualityBmaintenanceAn MCP server that provides deterministic math computation (numeric, symbolic, unit, matrix) and hybrid retrieval over study notes/textbooks with citations, helping Claude become a reliable study partner.MIT
- Alicense-qualityAmaintenanceTurns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.1MIT
- AlicenseAqualityCmaintenanceTurn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.13143MIT
- Alicense-qualityBmaintenanceEnterprise MCP server that exposes multiple MySQL databases to AI services through one endpoint, with API-key auth, per-key database scoping, a layered SQL guard, and a markdown schema-knowledge graph.51MIT
- Alicense-qualityAmaintenanceThis MCP server enables AI agents to manage artifacts across sessions by providing tools for searching, retrieving, and registering entries in a persistent ledger, ensuring consistency and traceability of agent outputs.MIT
- Flicense-qualityDmaintenanceSelf-documenting MCP server enabling AI agents to autonomously create, manage, and query SQLite databases with enforced metadata requirements for discoverability.
- AlicenseAqualityCmaintenanceEnables AI agents to store and retrieve project context, bugs, decisions, and session logs by reading and appending markdown files in a local Obsidian vault, without requiring any cloud services.6MIT
- Alicense-qualityAmaintenanceTheWeave is a markdown-native memory architecture for Claude and any MCP-aware agent. Your agent's memory lives as plain .md files you own: a 5-verb MCP core over the vault, query-driven PageRank retrieval, bi-temporal facts (valid_from / valid_until), and a persona-as-vault model. No database and no embeddings server. The files are the memory, inspectable in your editor and versionable in git.2Apache 2.0
- Alicense-qualityDmaintenanceMCP server that connects AI agents to Google NotebookLM, enabling natural language interaction with notebooks, including Q&A, source ingestion, and audio overview generation.2,330MIT
- Alicense-qualityBmaintenanceEnables local-first knowledge management for Codex, providing tools for guided discussions, contextual recall, review, and daily topics.MIT
- Flicense-qualityCmaintenanceBuilds a searchable memory bank from persona-specific PDF content and exposes it as an MCP tool for querying.
grafeo-mcpofficial
AlicenseAqualityBmaintenanceEnables AI agents to interact with an embedded graph database (GrafeoDB) via the Model Context Protocol, providing tools for graph CRUD, GQL queries, full-text and vector search, and graph algorithms.234Apache 2.0- AlicenseAqualityBmaintenanceAn MCP server that enables LLMs to pull-based search through Clawket's RAG repository for exploratory and conditional queries. It provides read-only access to search artifacts, tasks, and decisions via HTTP API.510MIT
- AlicenseAqualityDmaintenanceMarker-indexed SQL cache MCP server that indexes in-file @scry.\* markers into a SQLite database, enabling agents to query structured project knowledge via read-only SQL without LLM reasoning.94MIT
- AlicenseAqualityAmaintenanceExposes a materialized service dependency graph as an MCP toolset for persistent, queryable root-cause analysis via Cypher queries.51Apache 2.0
- AlicenseAqualityCmaintenanceAn MCP server that exposes a curated database of generative AI tools as four tools an AI assistant can query directly, enabling searches without relying on model knowledge.4MIT
- FlicenseAqualityBmaintenanceProvides a read-only semantic layer over an Obsidian vault, enabling queries about projects, decisions, tasks, and related notes.18122
- AlicenseAqualityCmaintenanceEnables graph database operations on FalkorDB via MCP, allowing Cypher queries, node retrieval, and graph listing.31MIT
- AlicenseAqualityDmaintenanceAn MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.448MIT