"k6" matching MCP servers:

提供基于阿里云函数计算的MCP远程网页搜索服务，支持Exa、Tavily、豆包和Bocha多个搜索引擎的自动回退。

Enables searching and reading AVEVA Customer Support Portal knowledge base articles, including tech notes, known issues, and error-message diagnostics, to ground AI answers in support content not found in public documentation.

将 pgvector 知识库检索能力封装为标准 MCP 服务器，支持 Tools、Resources 和 Prompts，使 Claude Desktop 等客户端可通过自然语言查询知识库。

Local-first agent memory & knowledge service: hybrid retrieval (vector + BM25/RRF) + memory governance (decay, dedup, freshness), REST + MCP dual protocol, fully offline without LLM. Python.

Enables AI assistants to query and retrieve information from Amazon Bedrock Knowledge Base using the Retrieve API, returning search results with content, location, and relevance scores.

A local-first knowledge base for LLM coding agents that indexes repository documentation, concept ontology, and build targets into Qdrant and exposes retrieval as MCP tools (search, get, list sources, reindex).

Enables semantic search, code exemplar lookup, knowledge-graph statistics, and cached retrieval over locally ingested notebook and Markdown content through MCP.

Enables management of Amazon Bedrock Knowledge Bases including creation, data source configuration, document ingestion, and RAG (Retrieval-Augmented Generation) queries with support for multiple embedding models and custom parsing/chunking strategies.

Enables semantic search, question answering with cited sources, and incremental reindexing of personal notes via MCP tools for Claude Code.

Enables exact component and field lookup from a bundled Langflow snapshot and meaning-based documentation search, with provenance and status reporting.

Stores and retrieves completed defect-triage analyses to find similar past defects during new ticket triage. Provides tools for storing, searching, updating, and listing historical defect records with hybrid retrieval (dense + BM25).

Local RAG knowledge base for Qwen Code, enabling document indexing and semantic search via MCP tools. Supports metadata filtering and document retrieval without external dependencies.

Enables AI coding assistants to search and cite company Markdown knowledge stored in GitLab repositories using a local, read-only index.

Enables agents to store, search, and manage a personal penetration testing knowledge base via MCP, using BM25-ranked retrieval with Chinese tokenization, plus draft approval, deduplication, and sensitive-data redaction workflows.

A local-first knowledge base server that enables AI clients to store, retrieve, and manage documents using semantic search. Provides privacy-focused, offline-capable memory for AI assistants with tools for ingesting, querying, updating, and deleting knowledge.

Local end-to-end RAG system for agentic code editors, exposing retrieval-augmented generation via MCP to any compatible client.

An MCP server that enables users to retrieve information from AWS Knowledge Bases using RAG (Retrieval-Augmented Generation) via Bedrock Agent Runtime.

Query 237 features from Shopify's Spring '26 Edition with per-claim trust ratings (primary docs vs. marketing) through any AI agent — local or hosted.

MCP server that exposes the Vision 4 NX knowledge base to any MCP client, enabling listing, querying, and reading of knowledge base contents via RAG vector search.

Enables MCP hosts to query a curated traditional Chinese medicine wellness knowledge base, run constitution assessments, identify intake information gaps, and obtain rule-based safety checks with five-tier risk conclusions.