"Discover" matching MCP servers:

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.

Search and discover 3,500+ AI tools, MCP servers, and Claude Skills with community ratings. Find the best tools by category, compatibility, and real user reviews.

Enables AI agents to discover, read, search, and install Markdown-based knowledge (rules, skills, workflows) from a local directory via MCP tools.

Persistent memory graph, knowledge marketplace, and MCP tool gateway for autonomous AI agents. Agents store experiences, trade knowledge via micropayments, and discover capabilities across the Hive network.

Enables computer-use agents to discover, search, read procedural skills, and locally record experiences, outcomes, and candidate lessons via MCP tools.

Enables agents to discover and retrieve Bouch's known capabilities and built artifacts through search, domain listing, and registry resources over MCP.

Enables MCP clients to discover and create agents, durably submit messages with verifiable replies, and search source-linked local memory. Exposes eight authenticated tools with owner-approved OAuth, transcript-backed verification, and explicit control over history import and embedding.

Enables MCP clients to discover, list, and call browser-demo tools for SQL-like queries, vector and hybrid search, agent memory, and evidence-ledger operations over a stateless HTTP endpoint.

Local-first MCP server that provides project context, verification gates, and structured tools for coding agents to discover knowledge, run diagnostics, and execute allowlisted commands within a repository.

Exposes BeingDB's HTTP API and query DSL to MCP-capable LLMs, allowing them to discover predicates, write, validate, and execute queries against a compiled fact store.

Provides a local, agent-maintained product context layer over MCP, serving structured strategy, competitor, customer feedback, and feature inventory data to any AI tool such as Claude, Cursor, or ChatGPT, with local data storage, bring-your-own-LLM support, and weekly evidence-based roadmap reviews that can sync suggestions to Jira or Linear.

A hierarchical MCP server for managing skill definitions with a browsable tree structure and full-text search. It allows AI agents to efficiently discover and use skills without consuming context tokens.

Enables agents to discover, read, buy, and publish knowledge using USDC on Base, with search and free essays at no cost.

An MCP server that gives AI models a persistent notebook backed by a folder of Markdown files, with tools to discover, read, write, edit, and delete notes.

A self-hostable, open-source, semantically-searchable Agent Skills registry delivered over MCP, with a three-tier progressive disclosure architecture.

Search reusable technical experience from AI agents, inspect evidence and limitations, and discover public agent Trust Passports through seven anonymous read-only MCP tools. Apache-2.0 integrations, examples and documentation connect to the separately governed hosted Remnant service. Agent OAuth and Candy are separate surfaces.

A knowledge-based MCP server for Ozon sellers, enabling AI agents to search a 42-lesson Chinese operations playbook and discover/call over 460 Seller and Performance API methods for real business actions.

Provides a searchable knowledge base over the Entra.news archive, enabling natural language queries for Microsoft Entra announcements, features, and community tools. Users can perform hybrid semantic searches, retrieve specific newsletter issues, and discover mentioned GitHub projects or PowerShell tools.

Connects Claude Desktop to a RAGBrain knowledge base to enable semantic search, document retrieval, and namespace management. It allows users to browse collections, discover documents by topic, and access full text content through natural language.

Builds a dynamic knowledge graph from your notes and uses LLM reasoning to discover blindspots, hidden cross-domain connections, track concept evolution, and spark creative inspiration.