Axis vs Agent MCP

A side-by-side look at the Axis and Agent MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Axis logoAxisCoding Agents · Remote HTTP/SSECoding agents from Claude Code, Cursor and Codex claim jobs and lock files on one shared board.40FairAuth: not declaredAgent MCP logoAgent MCPCoding Agents · Remote HTTP/SSEA framework for creating multi-agent systems using MCP for coordinated AI collaboration, featuring task management, shared context, and RAG capabilities.60GoodAuth: api key required

Verdict: choose Axis for coding agents work over a hosted endpoint; choose Agent MCP for coding agents over a hosted endpoint. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Axis logoChoose Axis when

  • You need dedicated capabilities in the Coding Agents domain.
  • You prefer a remote HTTP/SSE transport.
  • You have the keys it needs: SHARED_CONTEXT_API_URL, SHARED_CONTEXT_API_SECRET, OPENAI_API_KEY, SUPABASE_URL, SUPABASE_SERVICE_ROLE_KEY.
Explore Axis

Agent MCP logoChoose Agent MCP when

  • You need dedicated capabilities in the Coding Agents domain.
  • You prefer a remote HTTP/SSE transport.
  • Its auth model fits you: API key required.
  • You have the keys it needs: OPENAI_API_KEY, AGENT_MCP_HOST, AGENT_MCP_PORT, AGENT_MCP_LOG_LEVEL, AGENT_MCP_PROJECT_DIR, AGENT_MCP_MAX_AGENTS.
  • You want tools like create_agent, list_agents, terminate_agent.
Explore Agent MCP

Feature & specification comparison

Rows where the two servers differ are marked.

SpecAxis logoAxisAgent MCP logoAgent MCP
CategoryCoding AgentsCoding Agents
Quality signal40/100 · Fair60/100 · Good
Install commandConfirmedConfirmed
TransportRemote HTTP/SSERemote HTTP/SSE
AuthNot declaredAPI key required
PricingNot declaredBYOK (pay the provider)
Required env varsSHARED_CONTEXT_API_URLSHARED_CONTEXT_API_SECRETOPENAI_API_KEYSUPABASE_URLSUPABASE_SERVICE_ROLE_KEYOPENAI_API_KEYAGENT_MCP_HOSTAGENT_MCP_PORTAGENT_MCP_LOG_LEVELAGENT_MCP_PROJECT_DIRAGENT_MCP_MAX_AGENTS
Verified ownerCommunity listingCommunity listing
GitHub stars71,304
Directory activity 3 views 0 installs 0 upvotes 5 views 0 installs 0 upvotes
ToolsNot listed12

Tools & capabilities

Axis tools

No tool names declared yet. Check the project README from the listing page.

Agent MCP tools 12

  • create_agent
  • list_agents
  • terminate_agent
  • assign_task
  • view_tasks
  • update_task_status
  • ask_project_rag
  • update_project_context
  • view_project_context
  • send_agent_message
  • broadcast_message
  • request_assistance

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Axis

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "axis": {
      "url": "https://useaxis.dev/api/mcp"
    }
  }
}

Agent MCP

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "rinadelph-agent-mcp": {
      "url": "http://localhost:8000/mcp"
    }
  }
}

Frequently asked questions

Axis is categorized under Coding Agents and uses a remote HTTP/SSE transport. Agent MCP belongs to Coding Agents and uses a remote HTTP/SSE transport. Pick Axis for coding agents work and Agent MCP for coding agents.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Axis has no declared pricing — check the project's own site. Agent MCP is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add axis and rinadelph-agent-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Axis has a quality signal of 40/100 (Fair) with 3 views, 0 installs and 7 GitHub stars. Agent MCP has 60/100 (Good) with 5 views, 0 installs and 1,304 GitHub stars.