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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Nothing matches every word exactly, so these are the closest matches.
Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers. Use when deploying GKE inference servers, configuring GKE GPU resources for inference, or deploying LLMs on
OfficialSkillApache-2.0★ 21k in collectionNo key
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. Use when creating, configuring, o
OfficialSkillApache-2.0★ 21k in collectionNo key
Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a
OfficialSkillApache-2.0★ 21k in collectionNo key
Offensive security framework for AI agent infrastructure - recon, credential looting, model exfiltration, poisoning, and attack-path analysis across MCP, A2A, gateways, and AI services. BloodHound for
GoApache-2.0★ 453No key
Noisegate: a differential privacy gateway that lets an untrusted LLM agent query sensitive data over MCP (Model Context Protocol), with a formal guarantee no individual's record can leak even if the a
PythonApache-2.0★ 28No key
Messy CSV, JSON, or text → one LLM schema pass → deterministic rows into Neo4j → ask in English (Cypher).
Node.jsApache-2.0★ 6No key
Zero-infrastructure, local-first memory for AI agents. One SQLite file — no Postgres, Neo4j, or cloud. Bi-temporal supersession (updates, never deletes), four-channel hybrid retrieval, and a drop-in M
PythonApache-2.0★ 14No key
A NL2SQL plugin based on FocusSearch keyword parsing, offering greater accuracy, higher speed, and more reliability!
SkillApache-2.0★ 38No key
Expanding the candidate pool via relevance feedback, as an alternative to reranking when a dense retriever is too weak. Use when someone asks about 'Qdrant's Relevance Feedback API', 'improving dense
OfficialSkillApache-2.0★ 256 in collectionNo key
Connect your Pinecone projects to Cursor, Claude, and other AI assistants
OfficialNode.jsApache-2.0★ 72No key
Constructing prefetch queries for hybrid retrieval, including sparse/dense and multi-field setups, and choosing a sparse embedding model. Use when someone asks 'dense and sparse in one search?', 'how
OfficialSkillApache-2.0★ 256 in collectionNo key
Gomaa — Autonomous Agent Memory OS. Persistent memory system for AI agents with Obsidian vault integration, hybrid RRF search, knowledge graphs, security gates, and MCP server.
PythonApache-2.0★ 33No key
Production-ready MCP server providing RAG-based semantic search over WSO2 documentation (API Manager, Micro Integrator, Choreo, Ballerina, BI , IS).
Node.jsApache-2.0★ 3Few starsNo key
Local-first Codex plugin that indexes long videos with OCR/ASR and answers with timestamped, SHA-verified visual evidence.
SkillApache-2.0★ 4Few starsNo key
Persistent, local-first memory for AI agents. No cloud, no Docker, no external services – just CozoDB embedded in Node.js.
Node.jsApache-2.0★ 1Few starsNo key
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