"How to utilize Office 365 effectively" matching MCP servers:

MCP server for tracking decision logs and open questions in AI-assisted projects, offering tools to fetch context, list decisions and open items, and draft new decisions.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

Provides read-only access to the Family Office Knowledge Graph, enabling resolution of family offices, retrieval of public records with provenance, and listing of events, aliases, and nodes.

ThinkMem is an MCP server for memory management of large language models, offering multiple memory types and communication protocols to help LLMs organize and utilize information effectively.

MCP server that connects AI agents to Google NotebookLM, enabling natural language interaction with notebooks, including Q&A, source ingestion, and audio overview generation.

Enables local-first knowledge management for Codex, providing tools for guided discussions, contextual recall, review, and daily topics.

Builds a searchable memory bank from persona-specific PDF content and exposes it as an MCP tool for querying.

Self-improving, verifiable memory for AI coding agents. Learns how you work, stops repeating mistakes, models each project, recalls the right lesson at the right moment. Every memory is signed and tamper-evident. Local-first.

Semantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.

A codebase ontology and a cited wiki, both kept as Markdown in one folder on your disk. Typed graph answers — what a change affects, how two concepts connect, which wiki lines lack a citation — and every write lands as a Git diff a person reviews.

An MCP server that provides coding models with a live code index, inferred code graph, durable memory, and surgical tools to help them leverage their existing reasoning and coding abilities effectively.

Gives Claude persistent, local context about how you work, your weekly agenda, and shipped work, with automatic work logging and git integration—all stored privately on your machine.

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Persistent, local memory for AI coding agents that learns how you work, not just what you said. Supports Claude Code, Codex CLI, Cursor, and any MCP client.

Demonstrates Agent 365's bring-your-own-MCP flow by enabling natural-language search of a Zava IT support knowledge base, retrieval of support ticket statuses, and creation of new support tickets.

Enables a small local LLM to build and maintain a project map by offloading event ID/date generation, batching, synchronization, recovery, and finalization to the server, so the model only decides what to read and how to classify.

Serves portable behavioral identity models via MCP. Extracts how a person thinks, communicates, and makes decisions from text, then provides always-on identity context, semantic fact retrieval, keyword search, and provenance tracing through 4 tools and 1 resource.

An MCP server whose versioned resources can be revised mid-sentence, letting an assistant stop, retract what it just said, and report what changed, who changed it, and how long ago. Every revision is signed, attributable, and hash-chained so the current instruction can be verified and replayed without a key.

An MCP server that provides tools for privacy-oriented context API including encrypted fact storage, commitment-based proofs, and semantic search, enabling users, AI agents, and back-office systems to securely manage and prove personal facts without exposing raw data.