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"LLVM compiler infrastructure and toolchain" matching MCP servers:

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    A meta-MCP server that acts as a universal gateway, allowing users to discover and execute tools from thousands of other MCP servers through semantic search. It dynamically loads servers on demand and provides standardized functions for searching, discovering, and running tools across the entire MCP ecosystem.
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    Provides dynamic, context-aware code assistant skills through hybrid RAG (vector + knowledge graph), enabling runtime skill discovery, automatic toolchain-based recommendations, and on-demand loading from multiple git repositories.
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    MIT
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    Ratary is an AI Brain Platform — infrastructure that gives AI: Persistent memory — durable, owner-scoped, versioned Structured knowledge — metadata, relations, graph traversal Intelligent retrieval — hybrid search + bounded context assembly Protocol access — Ratary MCP, REST, optional gRPC It sits between AI clients and storage. One brain, many surfaces — Cursor, Claude Code, custom agents, enter
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    Trust and quality infrastructure for AI agents. 233+ quality-scored capabilities for company data, compliance checks, financial validation, and more. Every capability has a transparent SQS quality score. Audit trails on every call. EU AI Act support.
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    Enables AI agents to build, populate, and search knowledge graphs by providing tools for entity extraction, relationship mapping, and graph traversal. It manages the underlying database infrastructure so users can create searchable knowledge bases from text through natural language commands.
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    Enables AI agents to interact with BeeBoo's human-in-the-loop infrastructure for managing knowledge bases, requesting human approvals, and tracking work requests. It provides tools for semantic search, authorization workflows, and task creation across platforms like Claude and Cursor.
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    MIT
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    Generates crash-proof Python LLM pipelines from plain English descriptions. Pipelines resume from the last successful node after a crash instead of restarting from scratch. IProvider-agnostic , works with Groq, Gemini, Ollama, OpenAI, or any Python callable. Zero infrastructure, runs entirely on free-tier APIs.
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    An MCP server that enables AI platforms to interact with YepCode's infrastructure, allowing LLM-generated scripts to run on YepCode and turning YepCode processes into powerful tools that AI assistants can use directly.
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    MIT
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    AAAA-Nexus MCP provides 135 tools for autonomous AI agent infrastructure: formally bounded trust scoring, RatchetGate session security, on-chain A2A escrow, EU AI Act / NIST compliance certification, DeFi parameter proofs, VRF gaming with cryptographic proof, and verifiable randomness — all backed by the atomadic.tech API. Free tier available, no signup required.
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    MIT
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    Enables MCP clients to remember user information, preferences, and behaviors across conversations using vector search technology. Built on Cloudflare infrastructure with persistent storage and semantic similarity matching.
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    MIT
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    Enables AI agents to query, explore, and analyze PostgreSQL databases through the Model Context Protocol. It provides robust security features including read-only mode, schema restrictions, and query timeouts for safe data interaction.
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    3
    MIT