"Connecting Feishu (Lark)" matching MCP servers:

An MCP server that exposes Feishu (Lark) APIs as standardized tools, enabling knowledge base, document, spreadsheet, and IM operations through any MCP client.

Enables AI agents to use Feishu (Lark) spreadsheets as long-term memory and personal knowledge base with retrieval-augmented generation (RAG) via the Model Context Protocol.

Provides full access to Hookmark on macOS, enabling users to create and manage bidirectional links between files, URLs, emails, and notes. It supports searching bookmarks, connecting items, and retrieving links from active applications through natural language.

Local-first personal memory for AI agents. Captures your Feishu chats, emails, meetings, and AI coding sessions into a private memory graph, and serves it to any agent over MCP.

Enables DeepSeek Harness and other MCP clients to maintain a personal wiki knowledge base — locally indexed full-text search across pages, idempotent page creation, append-only writes with mirrored revisions for rollback, and deletion limited to human-confirmed proposals.

This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases. Through this server, AI models can directly access and manipulate Obsidian notes, including reading, creating, updating, and deleting notes, as well as managing folder structures.

Real TypeScript MCP server for connecting Zynx agents to Supabase through safe, allowlisted tools.

Enables AI-powered knowledge management and creative support by connecting Scrapbox data to Claude. Supports advanced search, relationship analysis between pages, theme extraction, and literary analysis of personal knowledge bases.

Enables connecting to CompanyGraph's mental-model as a remote MCP endpoint, allowing agents like Claude, ChatGPT, and Gemini to query the model's types, schemas, rules, and entities without authentication.

Provides AI assistants with a persistent knowledge graph and experience memory, featuring context-aware routing, progressive disclosure, decay-based forgetting, and automatic promotion of important knowledge. It offers 22 MCP tools for storing, recalling, connecting, and querying knowledge, experiences, preferences, and ideas.

A stdio-to-HTTP bridge for connecting to Sombra's remote MCP server, enabling AI agents to save, search, and organize web content.

Enables AI agents to query version-aware, source-backed knowledge through MCP, using deterministic retrieval, durable research demands, and immutable validated revisions. It provides network and domain-specific guidance without connecting to devices or executing commands.

A local-first MCP server that routes Littlebird daily context into structured Obsidian notes, connecting daily work to a durable knowledge base.

Enables humans and AI agents to collaborate live on documents in a browser-based editor, with agents connecting via OAuth-enabled MCP tools for writing, commenting, memory, files, web retrieval, and backups. It can optionally integrate school drive and learning-platform access.

Enables distributed teams and their AI hosts to coordinate through shared task queues, persistent memory, consensus constraints, and Feishu cloud sync, with automatic context injection and silent observation.

MCP server for mobile growth & user acquisition, connecting LLMs to a curated knowledge base of ad optimization insights and analytical skills for subscription apps.

An MCP server that gives OpenClaw a provable memory by connecting to the hosted Memvara endpoint via streamable-http with OAuth, installing a skill for memory operations without auto-capturing every turn.

MCP server that turns a Markdown folder (e.g. Obsidian vault) into a second brain, capturing readings and ideas, connecting them as concepts, and resurfacing related notes on demand.

Enables AI agents to search, read, and update persistent knowledge bases through 22 MCP tools, prompts, and resources, connecting to either a hosted endpoint or a self-hosted API.

an mcp for connecting notebooklm with any ai agent.

An Obsidian plugin that provides embedded AI agent terminals and an MCP server for connecting Claude Code and other clients to your vault.

A MCP server connecting to a managed index on LlamaCloud. This is a TypeScript-based MCP server that implements a connection to a managed index on LlamaCloud.

Enables Codex or any local MCP client to read and edit Project Graph .prg files using the official runtime, with tools for inspecting, creating, editing, connecting, deleting, and laying out graph nodes.

Self-hosted MCP server connecting AI assistants like Claude to Anki for AI-assisted flashcard generation and sync. It supports multi-tenant, authenticated operations to add, search, and analyze cards in real Anki collections.

A no-server MCP toolkit that organizes project wikis from Feishu documents, messages, and more, enabling AI clients to answer questions with cited evidence to prevent hallucinations.

Provides a memory layer for personal agents, enabling MCP-compatible agents to store and query profile, factual, episodic, and procedural memory.

MCP Hub is a self-hosted AI operations platform that provides a unified MCP gateway with semantic tool routing, persistent vector memory, automation, and multi-agent flows. It enables connecting any MCP client to 130+ tools across 12 integrations through just 3 hub endpoints.

A personal AI memory system that creates a cognitive hub connecting to Notion, enabling semantic search and relationship navigation of your knowledge through a graph database for AI assistants.

Indexes local and enterprise documents to provide a unified personal knowledge base for AI clients via the Model Context Protocol. It supports full-text search across various file formats and integrates with platforms like Feishu and WeChat Work.

Read-only MCP server connecting Codex to Neo4j for querying projects, clients, tasks, and SEO audit results.