"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 shared, persistent memory and coordination for Claude Code and Codex sessions through a visible crew of tmux workers and a local SQLite store.

Enables Claude Code agents and sub-agents to share a persistent, compiled memory of project state, decisions, tasks, and facts across sessions instead of re-reading transcripts. Provides token-efficient bootstrap, search, commit, leased task claiming, and task-specific context compilation so parallel agents can coordinate without clobbering each other.

Shared knowledge graph for AI coding agents. Search, create, and link verified technical knowledge across 12 node types with trust scoring, demand signals, and auto-provisioning. Install: npx agent-hive-mcp

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

Integrates Jira and Sourcegraph, enabling LLMs to retrieve and comment on Jira issues and perform code searches using Sourcegraph.

Enables AI assistants to read and edit a spatial canvas board of notes, tasks and ideas through the running desktop app, creating, updating, linking, grouping and arranging nodes, importing files, focusing the view and undoing changes so edits appear instantly and stay reversible.

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.

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

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.

Run free live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the results. Free AI moderation. Uses an organization API token from askone.org

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.

Live Google search for AI agents: organic results with positions by country, language and device, a domain's current rank for a keyword, and the open markets with their default languages. Every search is fresh, usually 2–3 seconds per page.

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.

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.

Enables users to find people who recently started matching roles at target companies within a specified lookback window, returning flat JSON rows with profile, title, start month, prior role, move type, and source.