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"Using a second LLM to collaborate with a primary LLM for problem-solving and quality improvement" matching MCP servers:
- AlicenseAqualityCmaintenanceGive your AI assistant real-time LLM/VLM knowledge. Pricing, benchmarks, and recommendations — updated every hour, not every training cycle.41022MIT
- FlicenseCqualityDmaintenanceAn MCP server that routes LLM requests across multiple providers and orchestrates other MCP servers, with a focus on local privacy for embeddings and memory.283
- Alicense-qualityCmaintenanceMCP server that enables persistent, hybrid, local memory for LLM agents, with vector + BM25 search, knowledge graph, and policy-driven retention, providing token-budgeted context injection for AI assistants.MIT
- Alicense-qualityFmaintenanceEnables creation of persistent, compounding knowledge bases using Karpathy's LLM Wiki pattern with LLM-maintained markdown wikis. Supports automated ingestion, cross-referencing, synthesis, and linting of sources as an alternative to traditional RAG systems.61MIT
- FlicenseAqualityBmaintenanceEnables natural language query and ingestion of wiki knowledge bases built from documents, powered by Claude Agent SDK skills.2
- AlicenseAqualityDmaintenanceA Model Context Protocol server that provides unified access to multiple LLM APIs including ChatGPT, Claude, and DeepSeek, allowing users to call different LLMs from MCP-compatible clients and combine their responses.72116MIT
- Alicense-qualityCmaintenanceEvaluates RAG outputs on faithfulness, answer relevancy, and context precision using an LLM-as-a-Judge backend. Exposes tools for running evaluations, scoring individual samples, and checking thresholds, enabling CI gating and on-demand assessment via MCP.MIT
- Flicense-qualityBmaintenanceEnables 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
- 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
- FlicenseBqualityDmaintenanceAn MCP server providing RAG and CAG capabilities for querying and augmenting BambiSleep knowledge base data.5
- Alicense-qualityDmaintenanceEnables Claude to automatically extract entities and relationships from URLs, PDFs, and YouTube videos to build structured knowledge graphs in Neo4j. It supports custom schemas, academic citation extraction, and community detection for advanced research and content analysis.Apache 2.0
- Flicense-qualityBmaintenanceEnables AI agents to interact with a persistent knowledge graph backend using MCP tools for reading, searching, and analyzing wiki pages with vector search and graph algorithms.4
- Alicense-qualityDmaintenanceEnables chat with multiple LLM providers (OpenAI and Anthropic) while maintaining persistent conversation memory. Provides extensible tool framework for various operations including echo functionality and conversation storage/retrieval.MIT
- Alicense-qualityCmaintenancePersistent, semantically-searchable memory for AI agents using local PostgreSQL, pgvector, and Ollama embeddings, exposed via MCP with hybrid retrieval, knowledge graph, and auto-recall hook.0MIT
- Alicense-qualityDmaintenanceA Model Control Protocol server that integrates with Claude Desktop to enable simultaneous querying and cross-checking of responses from multiple LLM providers including OpenAI, Anthropic, Perplexity AI, and Google Gemini.15MIT
- Flicense-qualityFmaintenanceEnables LLMs to store, search, and manage memories with hybrid semantic and keyword search using ChromaDB and Neo4j for persistent memory and knowledge graph capabilities.
- Alicense-qualityAmaintenanceProduction-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.41Apache 2.0
- Flicense-qualityBmaintenanceProvides tools to retrieve, ingest, and reindex a serverless personal knowledge base built from Obsidian wiki and external files, with hybrid semantic + keyword search via the Model Context Protocol.
- FlicenseAqualityBmaintenanceAn MCP server that provides AI assistants with long-term semantic memory using a Markdown-based knowledge base with hybrid search (vector + FTS5) and syntax-aware chunking. It supports idempotent ingestion, project isolation, and integrity linting.4