VOLO MCP MCP server

A public, read-only MCP server providing evidence-graded, task-level records of how AI and automation impact jobs. It allows agents to query data on work automation, deployment stalls, and core tasks retained by humans, with every judgment including its basis and limits.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by VOLO

MCP endpoint (Streamable HTTP)

https://mcp.flyvolo.ai/mcp

Vendor documentation

What you can do with it

Query evidence on how automation changes specific occupations
Identify tasks created or stalled by automation deployments
Access core work tasks retained by humans in various roles

Tools advertised by the last live check:

resolve_occupation_or_major
search
get_occupation
get_ontology
query_ontology
get_role_tasks
find_evidence
get_change
find_affected
get_change_history
find_transition_paths
list_business_functions
get_major
find_majors_for_occupation
find_notes
get_note
find_notes_for_occupation
describe_coverage

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http volo-mcp https://mcp.flyvolo.ai/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add volo-mcp --url https://mcp.flyvolo.ai/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable volo-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "volo-mcp": {
      "url": "https://mcp.flyvolo.ai/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "volo-mcp": {
      "type": "streamableHttp",
      "url": "https://mcp.flyvolo.ai/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start volo-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "volo-mcp": {
      "type": "http",
      "url": "https://mcp.flyvolo.ai/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http volo-mcp https://mcp.flyvolo.ai/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "volo-mcp": {
      "url": "https://mcp.flyvolo.ai/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "volo-mcp": {
      "serverUrl": "https://mcp.flyvolo.ai/mcp"
    }
  }
}

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