Hybrid Semantic Tool Discovery for Enterprise MCP Gateway: Architecture and Implementation

arXiv:2608.23992 · cs.IR, cs.AI · Submitted 2026-08-25 · Read on arXiv

cs.IR, cs.AI

Submitted: 2026-08-25

Updated: 2026-08-25

Code: https://github.com/Significant-Gravitas/AutoGPT

Terminology

• Benchmark — 9× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• RAG — 7× in this paper · explained in 3 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Model Context Protocol — 4× in this paper
• Agentic System — 3× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Analyzer — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Graceful Degradation — 2× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Model Context Protocol (MCP) — 2× in this paper · explained in 8 episodes
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Query Complexity — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Agentic Retrieval — 1× in this paper · explained in 1 episode
• Agentic Search — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Retrieval Augmented Generation — 1× in this paper
• Retrieval Augmented Generation (RAG) — 1× in this paper · explained in 4 episodes
• Selective Context Optimization for Universal Tooling — 1× in this paper
• Vector Representations — 1× in this paper · explained in 2 episodes

Sources

• ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models
• ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
• Gorilla: Large Language Model Connected with Massive APIs
• Is Grep All You Need? How Agent Harnesses Reshape Agentic Search

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