"Information about project memory" matching MCP connectors:
Matching Connector Tools:
Avizo (RO SME compliance-deadline SaaS) as MCP tools: about, plans, categories, docs. Read-only.
Search and read public Wikivibe articles about AI coding, agents, MCP, GEO, bots and deployment.
Get authoritative answers about Redpanda documentation and search API references.
Pipeworx FAQ MCP — curated answers to questions ABOUT Pipeworx itself
Mitosis agent-memory platform: pricing, docs search, platform status, agent skills. No auth.
A server to provide information about EOxElements custom elements for coding agents.
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
VibeMarketing (https://vibemarketing.ninja/mcp) is a directory service that catalogs and provides information about various MCP (Model Context Protocol) servers. It serves as a centralized resource where users can discover different MCP servers and their capabilities. Examples of servers listed in the directory include Sequential Thinking MCP (for dynamic problem-solving through structured thought sequences) and Memory MCP (a knowledge graph-based persistent memory system).
One always-fresh project every AI agent shares: tidy docs that never miss, smart tasks and teams.
Publish HTML & Markdown to shareable links with versions, comments, and project organization.
LLMtoMD is the memory layer for AI coding agents. It converts any document — PDF, DOCX, slides, spreadsheets, images, audio, even whole websites — into clean, structured Markdown, then exposes it over MCP so your agent can search your FRDs, specs, and API docs on demand instead of re-reading (or forgetting) them.
Retrieve information from the Medusa documentation to assist you with your Medusa development.