KS
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hive-mcp — how to use hive-mcp how to use hive-mcp, hive-mcp setup guide, hive-mcp alternative, hive-mcp vs Claude, what is hive-mcp, hive-mcp install, hive-mcp GitHub Actions, MCP protocol, AI agent orchestration, Markdown file shared memory

v1.0.0
GitHub

About this Skill

Perfect for Autonomous AI Agents needing standardized human-in-the-loop management through Model Context Protocol (MCP) tools. hive-mcp is a vendor-agnostic orchestration OS that enables autonomous AI agents to interact with external tools through standardized interfaces, using Markdown files as shared memory.

Features

Exposes Agent Hive functionality as MCP tools
Enables AI agents to programmatically manage projects through standardized tool interfaces
Supports coordination of Claude, GPT, Gemini, and Grok using Markdown files
Runs on GitHub Actions free tier, enabling Git-native management
Provides a standardized way for AI agents to interact with external tools through MCP (Model Context Protocol)
Allows for human-in-the-loop management of AI agents

# Core Topics

intertwine intertwine
[0]
[0]
Updated: 3/7/2026

Quality Score

Top 5%
39
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add intertwine/hive-orchestrator/hive-mcp

Agent Capability Analysis

The hive-mcp MCP Server by intertwine is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use hive-mcp, hive-mcp setup guide, hive-mcp alternative.

Ideal Agent Persona

Perfect for Autonomous AI Agents needing standardized human-in-the-loop management through Model Context Protocol (MCP) tools.

Core Value

Empowers agents to programmatically manage projects through standardized tool interfaces using MCP, enabling seamless interaction with external tools and supporting AI agents like Claude, GPT, Gemini, and Grok.

Capabilities Granted for hive-mcp MCP Server

Automating project management workflows for AI agents
Integrating MCP tools for human-in-the-loop oversight
Exposing project operations as callable tools for AI agents like Claude

! Prerequisites & Limits

  • Requires Hive MCP server setup and configuration
  • Compatibility limited to AI agents supporting Model Context Protocol (MCP)
Project
SKILL.md
7.2 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

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SKILL.md
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Hive MCP Server

The Hive MCP server exposes Agent Hive functionality as MCP tools, enabling AI agents like Claude to programmatically manage projects through standardized tool interfaces.

Overview

MCP (Model Context Protocol) provides a standardized way for AI agents to interact with external tools. The Hive MCP server exposes project management operations as callable tools.

Setup

Configuration

Add the Hive MCP server to your Claude configuration:

For Claude Desktop (~/.config/claude/claude_desktop_config.json):

json
1{ 2 "mcpServers": { 3 "hive": { 4 "command": "uv", 5 "args": ["run", "python", "-m", "src.hive_mcp"], 6 "cwd": "/path/to/agent-hive", 7 "env": { 8 "HIVE_BASE_PATH": "/path/to/agent-hive", 9 "COORDINATOR_URL": "http://localhost:8080" 10 } 11 } 12 } 13}

For DevContainer (.devcontainer/devcontainer.json):

json
1{ 2 "mcpServers": { 3 "hive": { 4 "command": "uv", 5 "args": ["run", "python", "-m", "src.hive_mcp"] 6 } 7 } 8}

Environment Variables

VariableDescriptionDefault
HIVE_BASE_PATHRoot path of the hiveCurrent directory
COORDINATOR_URLURL of coordination serverNot set (optional)

Available Tools

Project Discovery

list_projects

List all projects in the hive with their metadata.

json
1{ 2 "name": "list_projects", 3 "arguments": {} 4}

Response:

json
1{ 2 "success": true, 3 "data": { 4 "count": 3, 5 "projects": [ 6 { 7 "project_id": "demo", 8 "status": "active", 9 "owner": null, 10 "priority": "medium", 11 "tags": ["example"] 12 } 13 ] 14 } 15}

get_ready_work

Get projects ready for an agent to claim.

json
1{ 2 "name": "get_ready_work", 3 "arguments": {} 4}

Returns projects that are:

  • Status: active
  • Not blocked
  • No current owner
  • Dependencies satisfied

get_project

Get full details of a specific project.

json
1{ 2 "name": "get_project", 3 "arguments": { 4 "project_id": "demo" 5 } 6}

Response includes:

  • All metadata fields
  • Full markdown content
  • Dependency information

Project Ownership

claim_project

Claim a project by setting ownership.

json
1{ 2 "name": "claim_project", 3 "arguments": { 4 "project_id": "demo", 5 "agent_name": "claude-sonnet-4" 6 } 7}

Success response:

json
1{ 2 "success": true, 3 "data": { 4 "project_id": "demo", 5 "owner": "claude-sonnet-4" 6 } 7}

Failure (already claimed):

json
1{ 2 "success": false, 3 "error": "Project already claimed by grok-beta" 4}

release_project

Release ownership of a project.

json
1{ 2 "name": "release_project", 3 "arguments": { 4 "project_id": "demo" 5 } 6}

Status Management

update_status

Update the status of a project.

json
1{ 2 "name": "update_status", 3 "arguments": { 4 "project_id": "demo", 5 "status": "completed" 6 } 7}

Valid statuses:

  • active - Ready for work
  • pending - Not yet started
  • blocked - Waiting for external input
  • completed - All tasks done

add_note

Add a timestamped note to Agent Notes section.

json
1{ 2 "name": "add_note", 3 "arguments": { 4 "project_id": "demo", 5 "agent": "claude-sonnet-4", 6 "note": "Completed research phase. Found 5 relevant sources." 7 } 8}

Dependency Analysis

get_dependencies

Get dependency information for a project.

json
1{ 2 "name": "get_dependencies", 3 "arguments": { 4 "project_id": "demo" 5 } 6}

Response:

json
1{ 2 "success": true, 3 "data": { 4 "is_blocked": false, 5 "reasons": [], 6 "blocking_projects": [], 7 "in_cycle": false, 8 "cycle": [] 9 } 10}

get_dependency_graph

Get full dependency graph for all projects.

json
1{ 2 "name": "get_dependency_graph", 3 "arguments": {} 4}

Coordinator Integration

These tools require COORDINATOR_URL to be configured.

coordinator_status

Check if coordination server is available.

json
1{ 2 "name": "coordinator_status", 3 "arguments": {} 4}

coordinator_claim

Claim via coordination server (prevents conflicts).

json
1{ 2 "name": "coordinator_claim", 3 "arguments": { 4 "project_id": "demo", 5 "agent_name": "claude-sonnet-4", 6 "ttl_seconds": 3600 7 } 8}

coordinator_release

Release claim via coordination server.

json
1{ 2 "name": "coordinator_release", 3 "arguments": { 4 "project_id": "demo" 5 } 6}

coordinator_reservations

Get all active reservations.

json
1{ 2 "name": "coordinator_reservations", 3 "arguments": {} 4}

Tool Reference

ToolDescriptionRequired Args
list_projectsList all projectsNone
get_ready_workFind claimable projectsNone
get_projectGet project detailsproject_id
claim_projectClaim ownershipproject_id, agent_name
release_projectRelease ownershipproject_id
update_statusChange project statusproject_id, status
add_noteAdd agent noteproject_id, agent, note
get_dependenciesCheck blocking statusproject_id
get_dependency_graphFull dependency viewNone
coordinator_statusCoordinator healthNone
coordinator_claimReal-time claimproject_id, agent_name
coordinator_releaseReal-time releaseproject_id
coordinator_reservationsActive reservationsNone

Response Format

All tools return a standardized response:

json
1{ 2 "success": true|false, 3 "data": { ... }, // Present on success 4 "error": "message" // Present on failure 5}

Workflow Example

Starting Work on a Project

1. list_projects()           # See what's available
2. get_ready_work()          # Find claimable projects
3. get_project("my-proj")    # Review project details
4. claim_project("my-proj", "claude-sonnet-4")
5. [Do the work]
6. add_note("my-proj", "claude-sonnet-4", "Completed task X")
7. update_status("my-proj", "completed")
8. release_project("my-proj")

With Coordinator (Parallel-Safe)

1. coordinator_status()      # Verify coordinator is up
2. coordinator_claim("my-proj", "claude-sonnet-4", 3600)
3. claim_project("my-proj", "claude-sonnet-4")  # Also update AGENCY.md
4. [Do the work]
5. release_project("my-proj")
6. coordinator_release("my-proj")

Best Practices

  1. Check ready work first - Use get_ready_work to find available projects
  2. Read before claiming - Use get_project to understand the work
  3. Use coordinator for parallel agents - Prevents race conditions
  4. Add notes for transparency - Document your progress
  5. Release when done - Don't hold claims unnecessarily
  6. Handle errors gracefully - Check success field in responses

Troubleshooting

"Project not found"

Verify project_id matches exactly (case-sensitive).

"Project already claimed"

Another agent owns the project. Use get_project to see current owner.

"Coordinator unavailable"

  • Check COORDINATOR_URL is set
  • Verify coordinator server is running
  • Test with coordinator_status tool

"Failed to update project"

  • Verify AGENCY.md file exists
  • Check file permissions
  • Ensure path is within HIVE_BASE_PATH

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