MCP server

Oecd

io.github.cyanheads/oecd-mcp-server

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Search and query 1,500+ OECD statistical datasets via SDMX. Keyless.

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

7

Token cost

About 2,226 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http oecd-mcp-server https://oecd.caseyjhand.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.oecd-mcp-server]
url = "https://oecd.caseyjhand.com/mcp"

Gemini CLI

{"mcpServers":{"oecd-mcp-server":{"httpUrl":"https://oecd.caseyjhand.com/mcp"}}}

Cursor

{"mcpServers":{"oecd-mcp-server":{"url":"https://oecd.caseyjhand.com/mcp"}}}

VS Code

{"servers":{"oecd-mcp-server":{"type":"http","url":"https://oecd.caseyjhand.com/mcp"}}}

Antigravity

agy mcp add oecd-mcp-server https://oecd.caseyjhand.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"oecd-mcp-server","server_url":"https://oecd.caseyjhand.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"oecd-mcp-server","server_url":"https://oecd.caseyjhand.com/mcp"}

Tools

• oecd_dataframe_describe ~200 tokens
  List tables and columns staged on a DataCanvas by a prior oecd_query_dataset spill. Call this before oecd_dataframe_query to discover exact table and column names for SQL. Only available when CANVAS_PROVIDER_TYPE=duckdb is set.
• oecd_dataframe_query ~290 tokens
  Run a read-only SQL SELECT against OECD observation tables staged on a DataCanvas by oecd_query_dataset. Call oecd_dataframe_describe first to discover exact table and column names, then use this tool for aggregation, filtering, GROUP BY, JOIN, and window functions. Only available when CANVAS_PROVID
• oecd_get_dataset_info ~210 tokens
  Fetch a dataflow's dimensions, their order, and how to construct a query key. Returns per-dimension names, codelist references, and position in the dot-delimited key. Required before calling oecd_query_dataset to understand key structure.
• oecd_get_dimension_values ~460 tokens
  Fetch the valid codes and labels for one dimension of a dataflow. Use to resolve human-readable names (countries, measures) to SDMX codes before querying with oecd_query_dataset. Pass query to match a code or label by substring — codelists run to a thousand-plus entries, and the response is a page o
• oecd_list_agencies ~104 tokens
  List OECD SDMX agencies, the directorate each belongs to, and the number of dataflows each publishes. Use to discover agency IDs before filtering oecd_search_datasets by department.
• oecd_query_dataset ~615 tokens
  Fetch observations from an OECD dataflow filtered by a dimension key and optional time range. Returns decoded rows (one per observation) with dimension and attribute labels, and values already scaled by the observation unit multiplier. Large multi-country time-series spill to a DataCanvas table — in
• oecd_search_datasets ~347 tokens
  Search OECD dataflows by keyword or theme, matching against dataflow names and descriptions. Returns flow_ref identifiers, names, and agency IDs for use with oecd_get_dataset_info.

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