"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.

MCP server for personal and shared memory with full-text search (SQLite FTS5) and outcome tracking, compatible with any MCP agent like Claude Code, Cursor, and Codex CLI.

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.

A gateway server that enables agentic hosts to access multiple MCP servers through a single namespaced connection or proxy a specific server from MCP-Hive. It provides built-in discovery tools to list available servers, tools, and resources for seamless integration.

MCP server for bulk-creating files and folders for any project, with built-in templates and custom scaffold support.

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.

This read-only MCP Server allows you to connect to Apache Hadoop Hive data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables AI assistants to manage Google Cloud Dataproc clusters and jobs through a standardized interface. Supports cluster creation/deletion, job submission (Spark, PySpark, Hive, etc.), and serverless batch operations.

Brings a real human expert into Codex or OpenCode by creating a hiveLLM room for message exchange, without using user's API quota or credentials.

Enables teams of coding agents to share one live plan synced through their existing git remote, so each agent receives teammates' contract, decision, and task changes at its next tool call. Provides tools for publishing contracts, logging decisions, adding and claiming tasks, and reviewing the plan for contradictions.

Real-time analytics dashboard for Claude Code, tracking sessions, tool usage, file changes, and token costs via an MCP server.

Provides instant access to a searchable knowledge base of 16,000+ community-driven troubleshooting solutions for common coding problems. Includes community feedback and smart ranking to help AI assistants find the most effective solutions.

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

Enables AI agents to drive a running Roblox Studio in real time over a single WebSocket, executing whole Luau programs, installing in-engine controllers, hot-patching scripts during live playtests, and receiving errors, assertions and other events as pushes. It also reaches Roblox Open Cloud for the open place and answers visual questions via a vision sidecar, exposing all of this through nine MCP tools.

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.

Enables running example MCP servers over both stdio and streamable HTTP transports, providing tools for integer addition, streaming progress counts, and greetings, and can be installed directly from GitHub via uvx.

Provides access to Rive's animation documentation, runtime guides, editor features, and tutorials via the Model Context Protocol.

Enforces team knowledge and workflow policies for AI coding agents by providing context, decisions, and gates before code changes are made.