"Information about the term 'fetch' or related uses" matching MCP servers:

Model-agnostic, agent-ready Obsidian MCP server with RBAC, SLSA provenance, and native search. 163 tools across 31 domains, multi-vault, pluggable embeddings.

Enables coding agents to use an Obsidian vault as long-term memory, with search, reading, and writing of notes, plus automatic capture of learnings that are propagated to MOCs, daily notes, and the knowledge index with git commits.

Provides read-only access to finished meeting transcripts for AI assistants like Claude Code or Codex, enabling them to answer questions or draft summaries based on the transcriptions.

Long-term memory for Claude Desktop and Claude Code over plain markdown files on your machine. It returns nothing when the corpus has no answer, naming the terms that appear nowhere — no least-bad match dressed as an answer. And it verifies cited commit SHAs against git, so an agent can tell what actually shipped from what was only discussed and abandoned. Local; nothing is transmitted.

Enables deterministic, token-minimal multi-hop retrieval from a vault of [[wikilink]] notes via the Model Context Protocol, allowing LLMs to answer questions by following authored links without vector databases or LLM calls during retrieval.

A local MCP server that maintains a persona profile (contact library) for AI assistants, allowing them to create, search, retrieve, supplement, and correct information about people mentioned in conversations via tools like search_profiles, get_profile, create_profile, update_profile, add_facts, update_fact, and delete_fact.

Read-only access to your Gilbert meetings, transcripts and summaries over MCP — list, search, and fetch transcripts and summaries.

Exposes local markdown documentation, notes, and knowledge bases to AI tools via the Model Context Protocol without embeddings or uploading.

Builds a dynamic knowledge graph from your notes and uses LLM reasoning to discover blindspots, hidden cross-domain connections, track concept evolution, and spark creative inspiration.

Connects Claude Desktop to Notion and YouTube transcripts with one-click installation, enabling natural language queries about your pages and video content.

Exposes a Notion-synced AI OS as read-only MCP tools, enabling MCP-compatible AI clients to search the vault, fetch page contents, list projects, and check project statuses without scraping public links.

NoteDiscovery is a self-hosted plain-markdown notes app (MIT, no telemetry) with a built-in stdio MCP server. The server exposes tools so AI clients (Claude Desktop, Cursor, etc.) can search, read, create, edit, tag, and instantiate templates against the same vault the web UI uses.

Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.

Enables users to fetch Zoom meeting summaries and write them into matching Obsidian 1:1 notes, with browser-based authentication and automatic session cookie management.

This MCP server enables AI assistants to perform calculations, fetch live weather, manage in-memory notes, access system info and note resources, and use reusable code review and summarization prompts.

Enables Claude or Cursor to read Google Keep notes and checklists, add items, and check or uncheck them via MCP over HTTP with OAuth.

MCP server for intelligent, use-adaptive Obsidian vault search. It uses Hebbian learning and graph centrality to rank files by usage and relevance.

Enables Claude to query user-curated, dated memory entries stored locally, giving users direct control over what the AI remembers about them.

A small, readable MCP learning project implemented in TypeScript that uses a local JSON notebook to demonstrate core MCP features such as tools, resources, prompts, sampling, and notifications.

Enables users to access local files, manage persistent notes via CRUD, fetch URLs, inspect system information, and analyze or transform text through MCP tools.