Invokely MCP

An official MCP server provided by Invokely that allows AI agents to query official statistical data, including indicators, values, series, comparisons, and rankings. It supports natural language queries for topics like unemployment, GDP, and inflation across various global regions, returning figures with periods, units, and citable sources.

Endpoint and access

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

No sign-inEndpoint checked 2026-10-18Operated by Invokely

MCP endpoint (Streamable HTTP)

https://invokely.ai/mcp/trial

Vendor documentation

What you can do with it

Query official statistical indicators by natural language
Retrieve specific values for indicators and places
Resolve ambiguous place names to official entities
Compare statistical data across different regions

Tools advertised by the last live check:

search_indicators
resolve_place
get_value
get_series
compare
rank_places
get_revisions
check_claim
get_place_profile
workspace_list
workspace_get
workspace_save
workspace_update
workspace_delete
release_calendar
subscribe_alert
list_alerts
update_alert
delete_alert
list_changes
send_feedback
list_collections
get_collection
save_to_collection

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 invokely-mcp https://invokely.ai/mcp/trial

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 invokely-mcp --url https://invokely.ai/mcp/trial

Cursor

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

Cursor configuration

{
  "mcpServers": {
    "invokely-mcp": {
      "url": "https://invokely.ai/mcp/trial"
    }
  }
}

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": {
    "invokely-mcp": {
      "type": "streamableHttp",
      "url": "https://invokely.ai/mcp/trial",
      "disabled": false
    }
  }
}

VS Code

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

VS Code configuration

{
  "servers": {
    "invokely-mcp": {
      "type": "http",
      "url": "https://invokely.ai/mcp/trial"
    }
  }
}

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 invokely-mcp https://invokely.ai/mcp/trial

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": {
    "invokely-mcp": {
      "url": "https://invokely.ai/mcp/trial"
    }
  }
}

Windsurf

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

Windsurf configuration

{
  "mcpServers": {
    "invokely-mcp": {
      "serverUrl": "https://invokely.ai/mcp/trial"
    }
  }
}

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