Local FAISS MCP Server
Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.
Servidor MCP · de nonatofabio
Resumo
Local FAISS MCP Server é um servidor MCP publicado por nonatofabio. Marketplaces que lemos e que o listam: 1 (Official MCP Registry). A última mudança que registramos foi em 2026-10-23. Conforme nossa passagem pelos marketplaces em 2026-10-26.
O que pede
- Roda na sua máquina
Nenhum dos marketplaces que lemos publica as ferramentas ou as configurações que ele pede.
O que declara, pede e executa, por completo
Instale apenas plugins de desenvolvedores em quem você confia. Mostramos o que os marketplaces publicam e não testamos plugins.
Pacote
PyPI local-faiss-mcp (local-faiss-mcp no PyPI)
- Downloads do PyPI por semana: 27 (2026-10-23)
- Downloads do PyPI por mês: 120 (2026-10-23)
- Última versão no PyPI: 0.2.1, publicada em 2026-02-09
- A versão declarada 0.2.0-rc.3 não consta no PyPI
Os dados do PyPI vêm do pypi.org e os downloads do PyPI do pypistats.org. Cada número é do próprio registro e nunca é somado a outro. Um registro que não publica um número não mostra nenhum: sem número não é zero.
Funciona com
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Um link de um clique abre o cliente, que pede confirmação antes de adicionar o servidor.
Pelos marketplaces que o listam e pelo transporte MCP que declara, conforme cada cliente documenta. Não testamos plugins.
Conectar
Comandos e configurações gerados apenas a partir do que os marketplaces declaram. Não os executamos por você e não testamos plugins.
Como servidor MCP local: pacote PyPI
Gerado a partir do que Official MCP Registry declara.
claude mcp add --transport stdio local-faiss-mcp -- uvx local-faiss-mcp
[mcp_servers.local-faiss-mcp]
command = "uvx"
args = ["local-faiss-mcp"]
{
"mcpServers": {
"local-faiss-mcp": {
"command": "uvx",
"args": [
"local-faiss-mcp"
]
}
}
}
Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir o registro) | Listado | 0.2.0-rc.3 | Downloads por mês (PyPI): 120 Downloads por semana (PyPI): 27 Forks (GitHub): 13 Estrelas (GitHub): 36 |
Sem marcação |
Cada número é do próprio marketplace e nunca é somado entre marketplaces. Um marketplace que não publica números não mostra nenhum: sem número não é zero.
O que mudou
Nada mudou neste plugin desde que começamos a acompanhá-lo.
Plugins semelhantes
Produtos cujos próprios nomes, descrições, ferramentas e skills são os mais próximos deste pelo significado, em todos os marketplaces que lemos. A proximidade é ordenada apenas dentro desta lista.
-
ls-search io.github.CalBearKen/ls-search
Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.
-
Self-learning vector database — HNSW, FlashAttention-3, Graph RAG, hybrid search, DiskANN, and Brain AGI
-
Exposes the full Qdrant vector database API as 56 MCP tools, not just store/find.
-
Local Markdown search, navigation and editing via MCP, with optional vector embeddings.
-
rag io.github.fieldcure/rag
MCP RAG server with hybrid search, multi-KB support, and AI-powered chunk contextualization.
-
mcp-qdrant io.github.infoinlet-marketplace/mcp-qdrant
Read-only Qdrant vector DB for AI agents — collections, info, browse points, count, search.
-
Search that learns from feedback, over text and images: embeds locally, sends DNA only vectors.
-
Lightweight self-hosted RAG knowledge base with hybrid retrieval and cited answers.
-
A search engine that learns from feedback, over embeddings: one tool per API route.
-
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
Plugins semelhantes por marketplace
A mesma pergunta feita a cada marketplace separadamente: existe lá um equivalente deste plugin?
Listado em 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…
-
Zilliz Cloud management plugin with 14 skills covering cluster lifecycle, collection schema, vector search, index tuning, bulk import, RBAC, backups, and monitoring.
-
A fully offline semantic search tool for Claude. Index local files (PDF, DOCX, Markdown, TXT, PPTX, CSV) into a vector database and search them using natural language. Uses hybrid…
Listado em 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…
-
Zilliz Cloud management plugin with 14 skills covering cluster lifecycle, collection schema, vector search, index tuning, bulk import, RBAC, backups, and monitoring.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Precise local semantic code search via MCP. Indexes your codebase with Go AST parsing, embeds with Ollama or LM Studio, and exposes vector search to Claude through an MCP server…
Listado em 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…
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Connect sources and search processed documents with Unstructured Foundation. Provides MCP access to source setup, processing status, document search, and document retrieval.
Listado em 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…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
General life-sciences research workflows with query routing, evidence synthesis, and optional parallel subagent analysis across genetics, omics, biology, chemistry, structure…
-
The Dropbox plugin for ChatGPT connects your Dropbox files directly to ChatGPT. You can access files, save ChatGPT-generated content to Dropbox, and create sharing links without…
Listado em Community GitHub marketplaces (5)
-
Self-learning vector database — HNSW, FlashAttention-3, Graph RAG, hybrid search, DiskANN, and Brain AGI
-
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…
-
Graph-vector memory for AI assistants using FalkorDB and Qdrant
-
MCP memory server with hybrid search (vector + BM25), knowledge graph, and slash commands. Memory persists across Claude Code, Cursor, OpenCode, and any MCP-compatible AI tool.
Listado em Copilot CLI: github/awesome-copilot (5)
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
Listado em Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
Listado em Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Ask Databricks Genie questions about your workspace's data in plain language.
-
Search company knowledge and draft verified answers.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Capture, search, and organize notes and collections.
Listado em Docker MCP Catalog (5)
-
Production-ready RAG service to search and retrieve data from your documents.
-
The Official Model Context Protocol (MCP) server for Kagi Search & other tools.
-
Production-ready RAG service to search and retrieve data from your documents.
-
A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
Listado em Official MCP Registry (5)
-
ls-search io.github.CalBearKen/ls-search
Disposable private vector search + semantic RAG for AI agents. x402 pay-per-call, no account.
-
Exposes the full Qdrant vector database API as 56 MCP tools, not just store/find.
-
Local Markdown search, navigation and editing via MCP, with optional vector embeddings.
-
rag io.github.fieldcure/rag
MCP RAG server with hybrid search, multi-KB support, and AI-powered chunk contextualization.
-
mcp-qdrant io.github.infoinlet-marketplace/mcp-qdrant
Read-only Qdrant vector DB for AI agents — collections, info, browse points, count, search.
Listado em PyPI (MCP servers) (5)
-
pinecone com.mcparmory/pinecone
Create and manage vector database indexes, backups, and collections
-
marm-mcp-server io.github.Lyellr88/marm-mcp-server
Universal MCP Server with advanced AI memory capabilities and semantic search.
-
perplexity com.mcparmory/perplexity
Search the web, generate AI responses, and create embeddings with real-time information
-
ragie com.mcparmory/ragie
Ingest, manage, and retrieve documents for RAG-powered AI applications
-
Shared, cited knowledge-graph memory for agents — ask, search, remember, keep standing instructions
Listado em npm registry (MCP servers) (5)
-
mcp-local-rag io.github.shinpr/mcp-local-rag
Easy-to-setup local RAG server with minimal configuration
-
vecline io.github.shunyagatha/vecline
Local-first image, vector and document toolkit that measures its own output. Nothing uploaded.
-
superlocalmemory io.github.varun369/superlocalmemory
Local-first AI memory with knowledge graphs and hybrid search. 17+ AI tools via MCP. Free.
-
Local-first memory for AI coding agents — Markdown + SQLite FTS5, shared across editors via MCP.
-
Evidence-grounded agent memory with mandatory provenance, on local SQLite or Cloudflare D1
Encontrados pelo significado, não por código ou repositório em comum: plugins semelhantes continuam sendo produtos distintos, e isto não é uma avaliação nem uma recomendação.
Quer esta marca no seu plugin em nosso catálogo?
Prove que o mantém com um arquivo no repositório, um arquivo no seu domínio ou um registro DNS, e você poderá mostrar esta marca na ficha, com banners ao vivo para o seu site e o README. Como funciona a verificação
Você também recebe alertas quando um marketplace o publica, o remove, muda a marca de verificado ou o que ele pede, e o endpoint remoto passa a ser monitorado como um serviço web.
Dados de Official MCP Registry. Os números vêm das nossas próprias passagens regulares pelos marketplaces, última leitura em . Não publicamos dados de contato dos editores de plugins.