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Agent Data Co

REMOTE · AGENTDATACO.COM

Daily AI-ecosystem data: GitHub AI/MCP repos, MCP registry, HF trending, LLM pricing, with history.

Available components

71 Trust /100

Last scanned (21 hours ago)

Scores higher than 61% of remote servers

Reachable. Last reached 16 Oct 2026.

Category AI and Machine Learning

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security80
Transport & Reachability100
Schema Quality & AI Usability63
  • AI-judged instruction clarity (fair).Partial
  • Tool/resource definitions use about 1201 tokens (~100/item across 12 items; 12 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management7
  • Stability observed for 2 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage81
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 43% of tool parameters carry a description.Partial
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 12 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 13 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 16 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

  • 15 Oct 26 0
    • The server rewrote its instructions, which are the text every model session reads security
    • Tool “get_history” rewrote its description, which is the text the model reads security
    • Tool “get_trends” rewrote its description, which is the text the model reads security
    • Schema quality: 84 → 100 ▼ functional
    • Stability: unverified → 0.03 ▲ functional
    • New tool “get_momentum_leaderboard” functional
    • “get_history” added an optional parameter “cursor” cosmetic
    • “get_history” added an optional parameter “limit” cosmetic
    • “get_history” reworded the description of “from” cosmetic
    • “get_history” reworded the description of “to” cosmetic
    • “get_trends” reworded the description of “date” cosmetic
  • 14 Oct 26 70

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 16 Oct 2026 · Probed https://agentdataco.com/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=*.agentdataco.com CN=YR2,O=Let's Encrypt,C=US 14 Oct 2026 12 Jan 2027 RSA 2048 SHA256-RSA 5a9dd82bbe326406ecc6a27eb26cdd7fd19
SANs: *.agentdataco.com, agentdataco.com
CN=YR2,O=Let's Encrypt,C=US (CA) CN=Root YR,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 RSA 2048 SHA256-RSA 4ebd24947e24d394802d84a52fd5b319
CN=Root YR,O=ISRG,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 RSA 4096 SHA256-RSA f24b6d17f9d9ad7cb1c9fea78782699f

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of agentdataco.com. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
agentdataco.com. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Header Value
strict-transport-security max-age=63072000

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://agentdataco.com/mcp Verified 200
http (plaintext) http://agentdataco.com/mcp HTTPS enforced 308 https://agentdataco.com/mcp
MCP tools · 12 exposed · ~1,119 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
get_ai_pricing ~101

AI & SaaS pricing page snapshots (source: Public pricing pages). Full current feed, refreshed daily. Requires API key. Pass url= for one pricing page (untracked pages are queued).

NameTypeReqDescription
limitinteger––
offsetinteger––
qstring–Case-insensitive full-text filter
sincestring–ISO date; only rows created/updated on or after
urlstring––

No output schema declared.

No examples provided.

get_github_ai_repos ~105

GitHub AI agent & MCP repos (source: GitHub Search API). Full current feed, refreshed daily. Requires API key. Pass repo=owner/name for one repo (untracked repos are queued).

NameTypeReqDescription
limitinteger––
offsetinteger––
qstring–Case-insensitive full-text filter
repostring––
sincestring–ISO date; only rows created/updated on or after

No output schema declared.

No examples provided.

get_hf_trending ~83

Hugging Face trending models & Spaces (source: Hugging Face Hub API). Full current feed, refreshed daily. Requires API key.

NameTypeReqDescription
limitinteger––
offsetinteger––
qstring–Case-insensitive full-text filter
sincestring–ISO date; only rows created/updated on or after

No output schema declared.

No examples provided.

get_history ~237

Daily time series for ONE entity from the append-only archive (Starter: last 30 days, Pro: full archive). Max 90-day window per call (from..to); up to 90 rows per page, use nextCursor as `cursor` for the next page. No whole-feed dumps. Fair use: 200 (Starter) / 1,000 (Pro) history+trends calls per day per key; keys scanning many distinct entities/dates very fast are throttled for 1 hour (429). Bulk/full-archive access: data licence from $499/mo, hello@agentdataco.com. Requires API key.

NameTypeReqDescription
cursorstring–nextCursor from the previous page
entitystringyesowner/repo, MCP server name, OpenRouter model id, pricing page URL, "model:<hf id>", HN item id
feedstringyes–
fromstring–YYYY-MM-DD (default: to minus 30 days)
limitinteger––
tostring–YYYY-MM-DD (default today); max 90 days after from

No output schema declared.

No examples provided.

get_llm_pricing ~83

LLM model pricing (OpenRouter) (source: OpenRouter models API). Full current feed, refreshed daily. Requires API key.

NameTypeReqDescription
limitinteger––
offsetinteger––
qstring–Case-insensitive full-text filter
sincestring–ISO date; only rows created/updated on or after

No output schema declared.

No examples provided.

get_mcp_servers ~79

Official MCP registry servers (source: registry.modelcontextprotocol.io). Full current feed, refreshed daily. Requires API key.

NameTypeReqDescription
limitinteger––
offsetinteger––
qstring–Case-insensitive full-text filter
sincestring–ISO date; only rows created/updated on or after

No output schema declared.

No examples provided.

get_momentum_leaderboard ~84

Free: ADC Momentum leaderboard (0-100 score from growth velocity, consistency, recency and agent demand in our daily archive) for GitHub AI repos, MCP servers, LLMs and Hugging Face items, plus what AI agents looked up most this week (Agent Demand Index).

NameTypeReqDescription
feedstring––
limitinteger––

No output schema declared.

No examples provided.

get_sample ~33

Free sample: 5 latest rows from one or all feeds. No API key needed.

NameTypeReqDescription
feedstring––

No output schema declared.

No examples provided.

get_show_hn_ai ~82

Show HN AI launches (source: Algolia HN Search API). Full current feed, refreshed daily. Requires API key.

NameTypeReqDescription
limitinteger––
offsetinteger––
qstring–Case-insensitive full-text filter
sincestring–ISO date; only rows created/updated on or after

No output schema declared.

No examples provided.

get_trends ~119

Top movers (1d/7d/30d) by stars/likes/points plus change events: new entities, LLM price changes, MCP version bumps, pricing-page changes. Latest by default; past dates need `feed` and must be within your plan history. Counts toward the daily history/trends fair-use cap (200 Starter / 1,000 Pro). Requires API key.

NameTypeReqDescription
datestring–YYYY-MM-DD (default latest; requires feed)
feedstring––
windowstring––

No output schema declared.

No examples provided.

list_feeds ~34

List the Agent Data Co feeds (AI-ecosystem datasets), their sources and update times. Free, no API key.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

lookup_entity ~79

Free: latest public metrics and recent daily values for one tracked entity (top ~2,000 entities: GitHub repo owner/name, MCP server name, OpenRouter model id, pricing page URL, or hf "<type>:<id>"). Full history needs a key (get_history).

NameTypeReqDescription
entitystringyes–
feedstringyes–

No output schema declared.

No examples provided.

Install

How do I install the Agent Data Co MCP server?

Agent Data Co is a hosted endpoint at https://agentdataco.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · agentdataco.com

# add to Claude Code
claude mcp add --transport http com-agentdataco-api 'https://agentdataco.com/mcp'
Common questions

What is the Agent Data Co MCP server?

Agent Data Co is an MCP server listed in the public MCP registry as com.agentdataco/api. Daily AI-ecosystem data: GitHub AI/MCP repos, MCP registry, HF trending, LLM pricing, with history. This page covers its hosted endpoint (https://agentdataco.com/mcp).

Is the Agent Data Co MCP server safe to use?

Agent Data Co scores 71 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Agent Data Co MCP server expose?

Agent Data Co exposes 12 tools: get_momentum_leaderboard, list_feeds, get_sample, lookup_entity, get_github_ai_repos, and 7 more. Their descriptions and schemas cost roughly 1,119 tokens of context every time the server is loaded.

Does the Agent Data Co MCP server require authentication?

No. We connected to Agent Data Co without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the Agent Data Co MCP server still maintained?

Agent Data Co is still listed as active in the MCP registry. We last reached this channel on 16 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.