Hugging Face's logo

Datasets:
BIFF-AI
/
mcptoplist

Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
100K - 1M
Tags:
model-context-protocol
mcp
software-ecosystems
registries
agents
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
mcptoplist / README.md
christophe's picture
christophe
Refresh v2026-10-20
4de38a5 verified
preview code
|
Raw History Blame Contribute Delete
5.13 kB
metadata 
license: cc-by-4.0
pretty_name: MCP Toplist — MCP Ecosystem Dataset
language:
  - en
tags:
  - model-context-protocol
  - mcp
  - software-ecosystems
  - registries
  - agents
size_categories:
  - 100K<n<1M
configs:
  - config_name: servers
    data_files: servers.parquet
  - config_name: registry_daily
    data_files: registry_daily.parquet

MCP Ecosystem Dataset

A daily-refreshed, research-friendly snapshot of the Model Context Protocol (MCP) server ecosystem, published by mcptoplist.com. It covers every server tracked across the five major MCP registries — the Official MCP Registry, Glama, Smithery, mcp.so, and PulseMCP — deduplicated to canonical entities, with per-registry membership and daily registry growth series.

What is MCP?

The Model Context Protocol is an open standard that lets AI assistants connect to external tools and data sources. Since its launch in November 2024 an ecosystem of tens of thousands of MCP servers has grown across several competing registries. This dataset measures that ecosystem: which servers exist, where they are listed, and how each registry has grown over time.

Files

servers.parquet — 157,266 rows, one per canonical server

Registries list the same server under different names and keys; rows here are canonical entities after cross-registry deduplication (repository-URL and package-identifier resolution, plus rename tracking).

Bulk-listing floods are left out, here and in registry_daily.parquet: an official-registry namespace that lists 200+ servers, averaging 50+ per repository, nearly all remote and all served from at most two hosts (one deployment published under thousands of names). The rule is mechanical and is the same one the site applies, so dataset and leaderboard agree on which servers exist.

Column Type Description
canonical_server_key string Stable canonical key (srv_ + hash). Joins across dataset versions.
name string Server name from the canonical listing.
repo_url string Canonical source repository URL, when known.
on_official_mcp_registry bool Ever listed on the Official MCP Registry.
on_glama bool Ever listed on Glama.
on_smithery bool Ever listed on Smithery.
on_mcp_so bool Ever listed on mcp.so.
on_pulsemcp bool Ever listed on PulseMCP.
first_seen date Earliest date we observed the server on any registry.
is_active bool Listed by at least one registry at generation time under the site's liveness rule (delta-synced registries: not reported deleted; crawled registries: seen within 30 days of that registry's newest crawl). Delisted servers are kept with is_active = false and no rank; mcptoplist.com counts active servers only.
transport_classification string stdio / remote transport class, when known.
setup_classification string runs_out_of_the_box, needs_credentials, or hosted_remote_auth; null when unknown.
repo_stars_current int GitHub stars, snapshot at generation time.
mcptoplist_rank int The server's position in the mcptoplist.com ranking (1 = top), exactly as published on the site at generation time; null for servers the site does not rank. The underlying score, its components and weights are not part of the dataset — see https://mcptoplist.com/methodology.

registry_daily.parquet — 890 rows, one per source × day

Column Type Description
source string One of official_mcp_registry, glama_ai, smithery, mcp_so, pulsemcp.
date date Calendar day (UTC); the series ends at the last complete day before generation.
listed_servers int Cumulative count of distinct servers whose listing on this source began on or before this day.

manifest.json

Version label, generation timestamp, row counts, and column lists for the release.

Citation

If you use this dataset, please cite mcptoplist.com:

@misc{mcptoplist_dataset,
  title        = {MCP Toplist: MCP Ecosystem Dataset},
  author       = {{MCP Toplist}},
  year         = {2026},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/BIFF-AI/mcptoplist}},
  note         = {Data from \url{https://mcptoplist.com}, CC BY 4.0}
}

Or in prose: “MCP Ecosystem Dataset, mcptoplist.com (CC BY 4.0), https://mcptoplist.com”.

Maintainer

Published by MCP Toplist (BIFF.ai). Questions and issues: hello@biff.ai, or the dataset's community tab.