Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    ConnectionError
Message:      Couldn't reach 'PolicyLayer/mcp-server-catalogue' on the Hub (ReadTimeout)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
                  builder = load_dataset_builder(
                            ^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1315, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1149, in dataset_module_factory
                  raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({e.__class__.__name__})") from e
              ConnectionError: Couldn't reach 'PolicyLayer/mcp-server-catalogue' on the Hub (ReadTimeout)

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PolicyLayer MCP Server Catalogue

A risk-classified catalogue of every Model Context Protocol (MCP) server reachable through the public registries. Each tool exposed by each server is classified into one of six risk categories using a verb-based classifier with input-schema heuristics.

1,787 servers · 25,329 tools · classified May 2026 · refreshed monthly.

The catalogue is the underlying dataset for PolicyLayer's research report, The State of MCP Security — May 2026.


Loading the dataset

from datasets import load_dataset

ds = load_dataset("PolicyLayer/mcp-server-catalogue")
servers = ds["servers"]
tools   = ds["tools"]

print(f"{len(servers)} servers, {len(tools)} tools")

# Find every destructive tool exposed by an identity-provider MCP server
ip_slugs = [s["slug"] for s in servers if "identity" in (s["description"] or "").lower()]
destructive = tools.filter(
    lambda t: t["category"] == "Destructive" and t["server_slug"] in ip_slugs
)

Schema

servers split

One row per Model Context Protocol server with at least one classified tool.

Field Type Description
slug string Stable identifier. Use this to join with tools.server_slug.
name string Human-readable server name as published by its author.
packages array of strings npm or other package identifiers exposing this server.
repo_url string | null Source repository URL where available.
description string | null Server-author-supplied description.
tool_count int Number of tools the server exposes.
categories array of strings Distinct risk categories present in this server's tools. Subset of {Read, Write, Execute, Destructive, Financial, Other}.
source string Discovery channel: crawler (npm auto-discovery), smithery (Smithery registry), seed (manually-added official), user_scan (community contribution).
confidence string Classifier confidence for this server's labels: high, verified, medium, low.
last_scanned_at string (ISO 8601) Most recent scan timestamp.
npm_weekly_downloads int | null Weekly downloads of the server's npm package as of the snapshot date. Null if the server is not on npm or the registry didn't return data.
npm_latest_version string | null Latest published version on npm.
npm_last_published string (ISO 8601) | null Timestamp of the latest npm publish.
github_stars int | null GitHub stargazer count for the source repository.
github_forks int | null GitHub fork count.
github_open_issues int | null Currently-open GitHub issues + pull requests.
github_last_commit string (ISO 8601) | null pushed_at timestamp on the GitHub repository — proxy for liveness.
github_license string | null SPDX licence identifier reported by GitHub (e.g., MIT, Apache-2.0).
github_archived bool | null Whether the GitHub repository is archived (read-only).

tools split

One row per tool exposed by a server in the servers split.

Field Type Description
server_slug string Foreign key to servers.slug.
name string Tool name as exposed via tools/list.
description string | null Tool-author-supplied description.
category string Risk category. One of Read, Write, Execute, Destructive, Financial, Other.
severity string Discrete severity bucket: Low, Medium, High, Critical.
confidence string Classifier confidence: high, verified, medium, low.
risk_weight float Risk weight in [0.0, 1.0]. 0.0 = read-only, 1.0 = destructive financial.
risk_type string | null Specific risk type where determinable (e.g., delete, drop, payment).
input_schema string | null JSON-encoded tool input schema. May be null if the source provided no schema.

Risk categories

Category Definition Risk weight typical range
Read Retrieves data without modification. 0.05–0.15
Write Creates or modifies data and resources. 0.20–0.45
Execute Runs code, scripts, or container commands. 0.40–0.70
Destructive Permanently deletes or revokes resources. 0.55–0.85
Financial Moves real money: charges, payments, refunds, transfers. 0.65–1.00
Other Does not fit the above categories. varies

Classification is verb-based with input-schema heuristics. Methodology details and known failure modes are documented in the research report.


Coverage and limitations

  • Public registries only. The dataset covers servers reachable through the official Model Context Protocol registry, npm, Smithery, and Glama. Private and self-hosted servers are not represented.
  • Lower bound. Some registry-listed servers are unreachable through the scan pipeline (broken installs, dependency failures, or auth-walled launchers) and are excluded. The dataset is therefore a lower bound on the real ecosystem.
  • Static snapshot. This release is the May 2026 edition. New monthly versions are released on the 1st of each month.
  • Classifier confidence varies. 72.3% of tool classifications are high-confidence and 15.4% are verified. The remaining 12.3% are medium or low confidence and should be treated as advisory rather than authoritative for downstream risk decisions.
  • Usage metrics are point-in-time. npm_weekly_downloads reflects the week immediately before the snapshot. github_* fields reflect the GitHub repository state at fetch time. Metrics are null where the server is not on npm, has no GitHub repo, or the upstream API rate-limited the fetch.

Citation

If you use this dataset in research or commentary, please cite the research report:

PolicyLayer. (2026). The State of MCP Security — May 2026.
https://policylayer.com/research/state-of-mcp-2026

For the dataset itself:

PolicyLayer. (2026). PolicyLayer MCP Server Catalogue [Data set].
Hugging Face. https://huggingface.co/datasets/PolicyLayer/mcp-server-catalogue

Updates

The catalogue is regenerated monthly from PolicyLayer's continuously-updated scan pipeline. Each monthly release is tagged on Hugging Face. Subscribe to the dataset to be notified of new versions.

Edition Tag Servers Tools
May 2026 2026-05 1,787 25,329

Related

Questions, methodology details, or data requests: research@policylayer.com.


Licence

This dataset is released under Creative Commons Attribution 4.0 International (CC-BY-4.0).

You are free to use, share, adapt, and redistribute the data, including for commercial purposes, with attribution to PolicyLayer. The classifier output is the work product of PolicyLayer's research team; tool descriptions and server metadata are the work of their respective authors and remain under whatever licence the source projects supply.

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