"mcp server fetch" matching MCP servers:

Enables agents to interact with OKF bundles: browse, search, read concepts, and audit trust and freshness.

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。

An MCP server for the Zotero Web API v3 that lets you search, read, and write items, collections, tags, and notes in a Zotero library, supporting literature-review workflows.

Non-custodial memory MCP server with client-side encryption, enabling secure remember, recall, forget, and share operations with post-quantum security.

Enables users to access, search, and get recommendations from AWS documentation through natural language queries. Supports both global AWS documentation and AWS China documentation with tools to fetch pages, search content, and discover related resources.

Provides an AI agent with a searchable markdown notes vault, offering tools to create, read, list, search, update, and delete notes stored as plain .md files.

An MCP server for longevity and metabolic medicine that provides a medication catalog, dosing protocols, contraindication screening, drug interaction checks, lab recommendations, and patient intake pathways across 35 compounds.

Provides read-only access to a local Obsidian vault with zero-trust security, enabling note reading, listing, and text search via Claude.

A Model Context Protocol server that connects MCP-compatible clients like Claude and VS Code to your Readwise Reader library, allowing them to list, retrieve, and update documents in your personal knowledge repository.

Serves 484 Claude Code skills and 17 global rules as MCP tools, enabling skill and rule retrieval, keyword search, and project-level rule discovery for any Claude client.

A shared long-term memory server for MCP clients, enabling you to persist and retrieve decisions, gotchas, and context across sessions with a web dashboard.

Cross-surface persistent memory for Claude. Bridges context between Claude Chat, Code, and Cowork via local SQLite with full-text search.

MCP server for TuringWell, the agent-native Q&A platform for executable, verifiable fixes.

Enables AI coding assistants to store and retrieve persistent long-term memory across sessions, remembering project preferences, build steps, and architecture decisions.

Bridges MCP-compatible IDEs to a local MemOS instance, enabling notes from editors to be stored in the same knowledge base that AI agents read from.

Provides seamless access to the ConceptNet semantic knowledge graph, enabling concept lookup, search, relationship discovery, and semantic similarity calculations across multiple languages.

Enables full Obsidian vault operations including reading, writing, searching, deleting notes, managing tags and links, with support for both local and remote access via stdio or HTTP transports.

A model context protocol server that allows interaction with TriliumNext Notes, providing tools to create, search, retrieve, update, and delete notes through natural language commands.

Intelligence archive for AI agents. Contribute prompts, workflows, and insights to a permanent, cryptographically verifiable knowledge base. Agents earn public trust scores based on adoption and peer validation.

Enables querying the DPC Zettelkasten knowledge base with full-text search, note retrieval, and structural GraphQL queries, each answer backed by pinned GitHub source citations.