GenPark Vector Embedding Cache Deduplication Sentinel
High-dimensional vector embedding semantic SimHash deduplication sentinel with LRU cache simulation
Serveur MCP · par alphaparkinc
Aperçu
GenPark Vector Embedding Cache Deduplication Sentinel est un serveur MCP publié par alphaparkinc. Places de marché que nous lisons et qui le référencent : 1 (Official MCP Registry). Nous l'avons vu pour la première fois le 2026-10-19 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-10-24.
Ce qu'il demande
- S'exécute sur votre machine
Aucune des places de marché que nous lisons ne publie ses outils ni les réglages qu'il demande.
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Fonctionne avec
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
D'après les marketplaces qui le listent et le transport MCP qu'il déclare, tels que chaque client les documente. Nous ne testons pas les plugins.
Connecter
Pas de données pour une commande automatique : ce que déclarent ses places de marché ne dit pas sans ambiguïté comment le connecter.
Où il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Official MCP Registry (Ouvrir la fiche du registre) | Référencé | 1.0.1 | Forks (GitHub): 0 Étoiles (GitHub): 7 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Ce qui a changé
- Est devenu un produit que nous suivons
- Official MCP Registry: apparu
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
-
VectorCache Semantic Vector Cache
x402-gated semantic vector cache for agent swarms: Redis-backed similarity lookup. Paid in USDC.
-
GenPark Bloom Filter URL Dedup Crawler
In-memory Bloom filter for URL and document hash deduplication preventing redundant web crawler inge
-
A search engine that learns from feedback, over embeddings: one tool per API route.
-
Exposes the full Qdrant vector database API as 56 MCP tools, not just store/find.
-
N3MemoryCore Lite (Working Memory)
Ephemeral 7-day hybrid vector+BM25 working memory, multilingual, backed by Redis Stack.
-
Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.
-
Self-learning vector database — HNSW, FlashAttention-3, Graph RAG, hybrid search, DiskANN, and Brain AGI
-
Graph-vector memory for AI assistants using FalkorDB and Qdrant
-
Semantic nearest-neighbour search over your datasets, plus indices and projections.
-
Persistent scoped Qdrant memory for agents, through four explicit stdio MCP tools.
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur Claude Code: claude-plugins-community (5)
-
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
-
Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash…
-
claude-code-plugin-for-goodmem-a-memory-infra-for-agents
With this plugin, you can operate Goodmem's memory infra in plain English, to create, manage, and orchestrate embedders, rerankers, and LLMs, to ingest and create memories from…
-
Embed and analyze sensor and time-series data using the InertialAI API. Provides MCP tools for embedding, similarity search, and nearest-neighbor classification, plus workflow…
-
Save 60-90% on LLM token costs with intelligent memory compression. agent-memory automatically compresses tool output into structured observations, shares context across agents…
Référencé sur Claude Code: claude-plugins-official (5)
-
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
-
Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash…
-
Redis development best practices — data structures, query engine, vector search, caching, and performance optimization
-
Zilliz Cloud management plugin with 14 skills covering cluster lifecycle, collection schema, vector search, index tuning, bulk import, RBAC, backups, and monitoring.
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
Référencé sur Claude: knowledge-work-plugins (5)
-
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Connect Claude to your ClickHouse Cloud databases. Browse organizations, services, databases, and table schemas. Run read-only SQL queries against your data and get instant…
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Available for US1 customers only. Analyze, investigate, and act on your Datadog telemetry directly from ChatGPT using natural language. Ask questions about your production…
-
Install, open, and connect the signed ChatCut Desktop app from Codex.
Référencé sur Community GitHub marketplaces (5)
-
Self-learning vector database — HNSW, FlashAttention-3, Graph RAG, hybrid search, DiskANN, and Brain AGI
-
Graph-vector memory for AI assistants using FalkorDB and Qdrant
-
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
-
AgentDB memory controllers with HNSW vector search, RuVector embeddings, and causal graphs
-
Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash…
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Shows live prompt-cache reuse, expiry, token composition, and AI Credit cost for the current GitHub Copilot session without making model calls.
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
-
Explore and query TimeBase streams, schemas, QQL, symbols, and server status via MCP.
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Advanced Security plugin for GitHub Copilot.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
Référencé sur Cursor: cursor/plugins (5)
-
Ask Databricks Genie questions about your workspace's data in plain language.
-
Explore datasets and tables and run SQL queries.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Capture, search, and organize notes and collections.
Référencé sur Docker MCP Catalog (5)
-
mcp-neo4j-memory io.github.neo4j-contrib/mcp-neo4j-memory
MCP Neo4j Knowledge Graph Memory Server
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Natural language interface designed for agentic applications to manage and search data in Redis.
-
A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma.
-
Production-ready RAG service to search and retrieve data from your documents.
Référencé sur Official MCP Registry (5)
-
VectorCache Semantic Vector Cache
x402-gated semantic vector cache for agent swarms: Redis-backed similarity lookup. Paid in USDC.
-
GenPark Bloom Filter URL Dedup Crawler
In-memory Bloom filter for URL and document hash deduplication preventing redundant web crawler inge
-
A search engine that learns from feedback, over embeddings: one tool per API route.
-
Exposes the full Qdrant vector database API as 56 MCP tools, not just store/find.
-
N3MemoryCore Lite (Working Memory)
Ephemeral 7-day hybrid vector+BM25 working memory, multilingual, backed by Redis Stack.
Référencé sur PyPI (MCP servers) (5)
-
pinecone com.mcparmory/pinecone
Create and manage vector database indexes, backups, and collections
-
perplexity com.mcparmory/perplexity
Search the web, generate AI responses, and create embeddings with real-time information
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Natural language interface designed for agentic applications to manage and search data in Redis.
-
mnemo io.github.n24q02m/mnemo
Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.
Référencé sur npm registry (MCP servers) (5)
-
Evidence-grounded agent memory with mandatory provenance, on local SQLite or Cloudflare D1
-
SigRank SignalAF — AI Operator Cascade & Leaderboard
SigRank SignalAF on-device scanner — four-token cascade, leaderboard, 25 local tools.
-
vecline io.github.shunyagatha/vecline
Local-first image, vector and document toolkit that measures its own output. Nothing uploaded.
-
Local-first memory for AI coding agents — Markdown + SQLite FTS5, shared across editors via MCP.
-
superlocalmemory io.github.varun369/superlocalmemory
Local-first AI memory with knowledge graphs and hybrid search. 17+ AI tools via MCP. Free.
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
Vous voulez cette marque pour votre plugin dans notre catalogue ?
Prouvez que vous le maintenez avec un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS, et vous pourrez afficher cette marque sur la fiche, avec des bannières à jour pour votre site et votre README. Comment se passe la vérification
Vous recevez aussi des alertes quand une marketplace le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et son endpoint distant est surveillé comme un service web.
Données issues de Official MCP Registry. Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.