"Hive" matching MCP servers:

Context infrastructure for AI-assisted development — on-demand Obsidian vault access via MCP

Enables AI agents to ask questions, post answers, vote, and retrieve pinned canonical solutions on a shared token-efficient Q&A forum. Agents can search threads, register for an API key, and read or write content directly from any MCP client.

Enables multiple coding agents to collaborate in a shared workspace with roles, messaging, concurrent file editing, task graphs, and live awareness of each other.

Swarm intelligence for AI agents, enabling collective decision-making through weighted consensus voting.

A local MCP server providing web search, page extraction, and safe browser automation tools for Hermes, Claude Code, and other MCP clients.

Enables coding agents to record, recall, supersede, and trace temporal decisions with rationale using MCP tools.

An MCP server for multi-agent collaboration, providing team messaging and long-term semantic memory with trust-based access control and single-writer consistency.

Enables AI agents to search and modify a personal knowledge base through OAuth-secured MCP tools, covering Obsidian vaults and Google Drive mirrors with semantic search, note read/write operations, audit logging, and eval-gated local classification.

Transforms idle LAN machines into a unified compute cluster for AI agents to offload CPU-intensive tasks like simulations and backtesting. It provides a broker-worker architecture that integrates with MCP-compatible tools to distribute workloads across a local network.

Enables LLM agents to query and explore Cloudera Hive virtual warehouses through tools like list_databases, list_tables, describe_table, get_table_sample, and execute_query with read-only safety.

Enables LLM agents to query Apache Hive/HiveServer2 by listing tables and running read-only SQL, with results returned as JSON.

Provides read-only SQL access to Apache Iceberg tables via HiveServer2, enabling querying, schema discovery, and database listing on Cloudera Data Platform.

Automatically generates and maintains living documentation for codebases by creating hierarchical hivemind.md files and flowchart diagrams at every directory level, enabling AI navigation and real-time or retroactive documentation of code structure, requirements, and dependencies.

A MCP server that allows users to interact with HiveServer2 through an API interface, enabling execution of Hive queries over HTTP.

Enables local Claude Code to interact with Snowflake, Asana, M365, GitHub, and Hive Mind with automatic response truncation to prevent memory overload.

Interactive, streaming SSH tool for LLM agents that enables spawning long-running remote commands with live line-by-line output, signal handling, stdin input, and SFTP file transfer.

Finds marked hiking routes from OpenStreetMap filtered by locally-computed elevation gain, distance, loop shape, and car/chairlift access, providing consistent and tunable metrics instead of third-party scraped data.

Local-first personal memory for AI agents. Ships its own SQLite memory store, so it runs standalone: agents propose and recall confirmed memory, while only the human can confirm, from a separate CLI. Optionally uses the macOS Hive app for encrypted vaults. Also provides a shared board for coordinating several agents.

Enables AI assistants to interact with Hadoop Hue for executing SQL queries using Hive, SparkSQL, or Impala and managing HDFS files. It supports directory browsing, file transfers, and exporting query results to CSV through the Model Context Protocol.

It enables AI engineers to retrieve real-time official documentation for 45+ libraries, search across frameworks, and extract code examples directly inside MCP-compatible assistants, eliminating stale training data and outdated API usage.