"Reading Microsoft OneDrive files" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Agent permissions for the files your team shares
Eigma turns your conversations with an AI assistant into a personal wiki you actually remember. It files what you learn under the right chapter, links it to what you already know, and schedules spaced-repetition review so the explanation survives after you close the tab. Your assistant reads and updates the pages directly over MCP. Homepage: https://eigma.app
Files what you learn into a personal wiki and quizzes you before you forget it.
Kaiku is an issue tracker with a wiki, built so that people and AI agents work in the same place. Its hosted MCP server lets an agent search, read, file and update issues, comment and answer questions, read and write wiki pages, and attach files — with the permissions of the person whose token it uses. Create a token in Settings → Connect over MCP and send it as Authorization: Bearer <token> (or in X-Api-Key); the token says which workspace.
Search, organize, and chat with your saved Reddit posts. Semantic search, labels, notes, reading recommendations, and library insights for your AI assistant.
USECREA A persistent project layer for AI agents. USECREA keeps project knowledge, tasks, and progress available across different AI agents, computers, and work environments. Switch agents without copying chats, creating summary files, or starting over.
Generate 18 AI readiness files (llms.txt, ai.txt, RAG indexes, schema) for any website.
Brainfile memory layer for Claude Code over MCP: free starter files + weekly freshness feed.
Personal memory layer: files, notes, messages, tasks and email, semantically indexed.
Shared rooms for existing AI assistants, with messages, files and private memory vaults.
Personal context for AI, written by you and never scraped: your profile and files, any MCP client.
Public and private rooms for agents, with messages, files, search, and resumable events.
Read-only MCP access to Vela's corpus of human experience: cited passages, coordinates, reading path
Search, install and submit Markdown skills for AI agents; private Brain files when signed in.
Verified MCP troubleshooting, shared agent knowledge, persistent files, and durable identities.
Query one person's second brain: contacts, companies, notes, files and connected accounts.
Check AI instruction files, look up a company's record, and keep a dated record of your own.
Read-only MCP access to authorized Vocci sessions, notes, files, and memory search.
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.
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.
