"Gmail login" matching MCP servers:

Enables MCP clients to connect to Walrus Memory for persistent memory operations like remember, recall, analyze, and restore, with browser-based wallet login and local credential storage.

Enables querying and managing personal/team internal knowledge from sources like Slack, Gmail, and Drive through semantic search and retrieval.

Provides AI agents with persistent memory via Google NotebookLM, enabling them to save, search, and retrieve dated sources and query notebooks with citations using a one-time popup login and keepalive session management.

Provides access to personal/team knowledge repositories with tools to search, retrieve, and save information from various sources including Slack, Gmail, and document storage platforms.

Enables semantic search and retrieval of information from personal and team knowledge repositories including Slack, Gmail, Dropbox, Google Drive, and uploaded files. Allows storing new information for future recall through AI-powered search.

Enables multi-tenant semantic access to a company brain in Google Drive, with tools for indexing, searching, reading, and updating pages, plus Gmail, Calendar, and Drive primitives.

Enables semantic search and retrieval of personal and team knowledge from connected sources like Slack, Gmail, Google Drive, and Dropbox, with the ability to save new information for future recall.

Enables interaction with Rememberizer.ai knowledge repositories to search, retrieve, and store information across sources like Slack, Gmail, and Google Drive. It supports semantic search and agentic queries to access and manage personal or team internal knowledge.

An MCP server that uses an OWL/SHACL/SKOS knowledge graph to interpret login-diagnosis prompts and return JSON-LD descriptors, guiding Copilot agents to the appropriate SQL Server and MongoDB queries and enabling New Relic escalation when needed.

Enables LLM agents to retrieve structured diagnosis plans for login issues from an OWL/SHACL/SKOS knowledge graph, returning required entities, validation sequences, and New Relic escalation details.

Comprehensive integration with Google Workspace services (Gmail, Calendar, Sheets, Docs, Drive) plus local storage for job tracking and a personal memory system for storing user preferences, behaviors, and goals.

A local-first personal knowledge daemon that syncs Gmail, Drive, and Calendar into a SQLite store for search and context retrieval via Claude Desktop over MCP.

Enables secure, human-approved AI memory from Gmail messages for Claude, with provenance, risk inspection, expiry, and revocation controls.

Official Telys MCP server: private, on-device AI memory and retrieval powered by native Mojo kernels. 19 tools: memory CRUD, semantic + BM25 search, single-key filters, compaction/IVF/tuning and self-refreshing repo auto-indexing. Stdio. Introspection needs no credentials; execution requires a one-time free telys login. Source: packages/telys-sdk/telys/mcp.py. Registry: io.github.thyn-ai/telys.

Enables creating and querying semantic knowledge graphs to model business logic, code relationships, and project structure across multiple projects.

A local-first open-source MCP server that acts as a personal secretary, memory manager, and automation hub—it syncs Calendar, Gmail, Canvas, GitHub, and Health into a typed temporal memory graph, and enables approval-gated write actions like creating events, drafting/sending mail, and filing issues, all with telegram/slack/CLI interfaces and a SQLite-backed audit trail.

A local-first Python MCP server that turns Gmail, Outlook/Microsoft 365, iCloud Mail, and generic IMAP/SMTP mailboxes into a synchronized, searchable OKF knowledge layer, exposing 38 tools and four resources for mailbox actions, synchronization, retrieval, attachments, and optional semantic search while keeping the provider mailbox authoritative.

Model Context Protocol (MCP) memory server built with Azure Functions and TypeScript, providing persistent knowledge graph storage for your preferred MCP client. Inspired by and forked from @modelcontextprotocol/server-memory

Enables agents to query a locally resolved relationship mesh that joins mail, calendar, iMessage, and contacts into one per-person record, providing shared history, open items, recency, drift, and warmest-channel context without sending data off disk.

A local-first MCP server that watches read-only Gmail and Google Calendar signals alongside user-saved local SQLite memory to generate grounded, prioritized situations with evidence, suggested actions, and expiry. It lets any existing AI agent call a check tool to deliver timely proactive outreach through its own channel, with acknowledgement, snooze, mute, quiet hours, and daily budget controls.