"All About Docker" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Unstructured document processing for LLM pipelines. Upload as PDF/DOCX/TXT any supported files, extract structured data (PII-redacted), build LLM-ready datasets, and search/export results — all via MCP tools (document.process, job.status, job.result, dataset.build, dataset.search, dataset.export).
Rafter holds a team's durable knowledge — skills, agents and memory files, each versioned — and serves it to AI tools over MCP. Agents search across the team's artifacts before answering questions about how the team works or what was decided, fetch full artifact text along with its citation edges (cites, cited_by, links) to explore related material, and write new learnings back as memory. Also covers workspace, team and membership management.
Answers questions about a business using its indexed website content, with cited sources.
- MemocoreOAuthai.memocore
Shared memory for all your AI agents, your whole team and every MCP client — save, search, recall.
Let AI agents query data and act across all your business apps via MCP.