A
license-
qualityD
maintenanceInjects structured professional domain expertise into AI agents, providing access to decision frameworks, workflows, terminology, and regulatory context across 24 professional domains.
53
MIT
74,297 servers. Updated
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"DotDog Domain Search Service" matching MCP servers:
- Alicense-qualityDmaintenanceSelf-hosted service providing unified memory search and write operations across file-based memory, vector embeddings, and the Graphiti temporal knowledge graph, accessible via HTTP API or MCP stdio transport.3MIT
- AlicenseAqualityBmaintenanceLocal MCP server that manages a job search using Markdown files, enabling skills tracking, gap analysis, and offer pipeline management via Claude.875MIT
- FlicenseAqualityDmaintenanceEnables AI assistants to manage memories via the mem9 memory service, supporting memory storage, semantic search, retrieval, update, and deletion across multiple platforms.5
- AlicenseAqualityAmaintenanceExposes a materialized service dependency graph as an MCP toolset for persistent, queryable root-cause analysis via Cypher queries.51Apache 2.0
- AlicenseAqualityCmaintenanceExtract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concepts, naming conventions, and vocabulary queryable via MCP.1940MIT
- AlicenseAqualityCmaintenanceEnables keyword search, filtering, and retrieval of Claude Code memory files, reducing context overhead by fetching only relevant memories on demand.4MIT
- AlicenseAqualityBmaintenanceEnables querying a team of domain experts with automatic routing and traceable citations for accurate answers.338MIT
- AlicenseAqualityBmaintenanceEnables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.32BSD 2-Clause "Simplified"
- AlicenseAqualityAmaintenanceMCP server for Yandex Wiki with full-text search. Read and write pages, comments, attachments, and dynamic tables (grids); optional server-side read-only mode for agents. Docker-ready.322Apache 2.0
- AlicenseAqualityDmaintenanceEnables persistent memory for Claude Code sessions by recording observations and building knowledge graphs for cross-session learning and domain knowledge management.11MIT
- AlicenseAqualityAmaintenanceMCP-native, local-first memory for coding agents that turns real sessions into reusable decisions, gotchas, and domain knowledge.173MIT
- AlicenseAqualityBmaintenanceConfig-driven MCP server for cross-domain full-text search across agent session logs, meeting transcripts, and notification files.71MIT
- AlicenseAqualityCmaintenanceEnables MCP-compatible agents to query beliefs, search documents, and explore reasoning chains from expert-service knowledge bases.10MIT
- AlicenseAqualityCmaintenanceA Model Context Protocol server that enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases.15Apache 2.0
- AlicenseAqualityCmaintenanceLets you model any domain (spa, barbershop, clinic, etc.) using 7 fixed axes and query it via natural language, with no per-domain schema required.91MIT
- AlicenseAqualityDmaintenanceA Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.146058MIT
- AlicenseAqualityAmaintenanceMCP server for managing a local, domain-agnostic knowledge base using Markdown notes with frontmatter. Enables AI agents to capture, read, search, link, and maintain notes with atomic writes and privacy controls.13MIT
- AlicenseBqualityDmaintenanceAn MCP server implementation that helps Claude remember and learn from programming errors by storing, retrieving, and finding similar errors with full context.64MIT
- AlicenseBqualityDmaintenanceEnables AI systems like Claude to activate advanced reasoning patterns, domain expertise, and contextual analysis capabilities through Meta-Knowledge Processing.51GPL 2.0