"A search for chatbots" matching MCP servers:

Enables MCP clients to search a Zotero library, read items, take notes, organize collections, and perform semantic search over PDFs.

Enables sandbox-less frontends such as mobile apps to reach the WeRead official gateway over Streamable HTTP by supplying only a URL and an access token, with no local process required. Exposes 14 read-only tools covering search, shelf, notebooks, reading progress and statistics, highlights, public reviews, and recommendations, plus a token-protected dashboard for shelf, notes, and shared-reading annotations.

Self-hosted MCP server that provides embedding-powered semantic search with graph context over Obsidian vaults, supporting multiple vaults, local embeddings, and a web dashboard.

Enables users to index local Markdown articles and then search, filter, list, and retrieve them through MCP tools while keeping all content on the local machine.

Enables AI agents to create and interact with ASCII-based Zen gardens through tools for raking sand, placing stones, and practicing digital meditation. It provides resources for random Zen koans and generates meditation guides based on the current garden state.

Model Context Protocol (MCP) server for Joplin note-taking app, enabling AI to read, search, and modify notes via sandboxed scripts.

Read-only MCP server for Griasa, a local-first macOS app that records meetings on your Mac: open promises with the exact quote, people, projects, meeting search, transcripts on request and the next call's brief. Runs inside the app; one-click Claude Desktop extension.

MCP server for a self-hostable personal planner — exposes memo, todo, calendar event, and cross-resource full-text search tools so Claude, Cursor, or any MCP client can manage your schedule and notes in natural language.

Enables AI clients to search, read, and navigate a local Obsidian vault privately, with read-only tools for discovery, evidence reading, backlinks, and vault statistics.

Enables natural-language semantic search over your own local files through an MCP server, fully offline without API keys or a server daemon, with optional LLM-grounded answers and exact file:line sources.

Stores journal entries locally with semantic search using multilingual embeddings, and optionally syncs to a Git remote.

Enables AI assistants to read, search, and create notes in Apple Notes on macOS via JXA, with fast bulk operations and a compact schema.

Enables Claude to control the AI Coach desktop pet, making the mascot react to the conversation, accept care, show messages, act out activities, preview local files, and manage user memos.

Enables agents to search, read, list, and amend a git-backed markdown knowledge base, automatically committing and publishing changes.

Enables operating Notion pages and databases through a single Markdown document, supporting read, write, search, list, update, schema, comment, delete, and move operations in one call.

MCP server for Bear notes via CloudKit. Full CRUD, tags, search, TODOs, attachments, and a context library for curated LLM knowledge bases.

A standalone Node MCP server that provides semantic search, knowledge graph, and vault editing over an Obsidian vault. It runs locally as a single stdio process without requiring an Obsidian plugin for core functionality.

Enables natural language interaction with a local Obsidian vault, allowing MCP clients to read, search, create, append, and delete markdown notes securely.

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.

An MCP server for TheBrain 15 that enables semantic search, graph traversal, and structured writing to a personal knowledge base via its local API. It provides tools to read and write thoughts, notes, links, and tags, with optional local embeddings for meaning-based search.