The IMF API allows roughly 10 requests / 5 seconds. `imfp` handles rate limiting and retries automatically.
The IMF API allows roughly 10 requests / 5 seconds. imfp handles rate limiting and retries automatically. Exposed over MCP by the imf data mcp mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
@modelcontextprotocol/inspector on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Everything the assistant can do here goes through one of these:
imf_list_databases — List all ~155 IMF databases with their IDsimf_search_databases — Filter databases by keyword (e.g. "inflation", "trade")imf_get_parameter_defs — List query dimensions for a databaseimf_get_parameter_codes — List valid codes for a dimension, with optional searchimf_fetch_data — Fetch time series data with year range and dimension filtersPlenty of database access servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Imf Data MCP's toolset — imf_list_databases, imf_search_databases, imf_get_parameter_defs and 2 more — is a fair guide to whether it matches your workflow. It is maintained by c-cf; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| imf_list_databases | List all ~155 IMF databases with their IDs |
| imf_search_databases | Filter databases by keyword (e.g. "inflation", "trade") |
| imf_get_parameter_defs | List query dimensions for a database |
| imf_get_parameter_codes | List valid codes for a dimension, with optional search |
| imf_fetch_data | Fetch time series data with year range and dimension filters |
{
"mcpServers": {
"imf": {
"command": "uvx",
"args": ["--from", "git+https://github.com/c-cf/imf-data-mcp", "imf-data-mcp"]
}
}
}Configuration as documented by the project. Restart the client after saving.
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.