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OpenComment AI

REMOTE · MCP.OPENCOMMENT.AI

Research saved LinkedIn contacts, review monitored activity, and prepare engagement campaigns.

+3 this week 76 Trust /100

Last scanned (18 hours ago)

Scores higher than 70% of remote servers

Reachable. Last reached 16 Oct 2026.

Category Marketing and SEO

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 Usability69
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 97 tokens (~24/item across 4 items; 4 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management47
  • Stability observed for 14 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage67
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (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.

  • 15 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.

  • 13 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

  • 10 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 20 to 27. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 8 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 13 to 20. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

  • 6 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 7 to 13. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

  • 4 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.

  • 3 Oct 26 0
    • Stability: unverified → 0.03 ▲ functional
  • 2 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://mcp.opencomment.ai/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=mcp.opencomment.ai CN=YE2,O=Let's Encrypt,C=US 27 Sept 2026 26 Dec 2026 ECDSA 256 ECDSA-SHA384 6f5a6950aa5b198d99064b07e5db74bd73c
SANs: mcp.opencomment.ai
CN=YE2,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 4df3b15dd6c0784c507cd37b58e6f115
CN=Root YE,O=ISRG,C=US (CA) CN=ISRG Root X2,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 ECDSA-SHA384 872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 SHA256-RSA 6c8f1dc727c7117f7baf853ac980f9cd

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of mcp.opencomment.ai. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 3799 8 Verified
opencomment.ai. 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=15552000; includeSubDomains
x-content-type-options nosniff
x-frame-options SAMEORIGIN
referrer-policy no-referrer

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

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://mcp.opencomment.ai/mcp Verified 200
http (plaintext) http://mcp.opencomment.ai/mcp HTTPS enforced 301 https://mcp.opencomment.ai/mcp
MCP tools · 4 exposed · ~97 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_started ~24

Learn how to sign up, connect an agent, and begin the product workflow.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

pricing_reference ~25

Get the canonical page for current plans and credits. Prices are not cached in MCP.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

product_overview ~21

Learn what OpenComment AI does, with canonical product sources.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

product_search ~27

Search curated public OpenComment AI product facts and page summaries.

NameTypeReqDescription
querystringyes–

No output schema declared.

No examples provided.

Install

How do I install the OpenComment AI MCP server?

OpenComment AI is a hosted endpoint at https://mcp.opencomment.ai/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 · mcp.opencomment.ai

# add to Claude Code
claude mcp add --transport http 02inf-opencomment-ai 'https://mcp.opencomment.ai/mcp'
Common questions

What is the OpenComment AI MCP server?

OpenComment AI is an MCP server listed in the public MCP registry as io.github.02inf/opencomment-ai. Research saved LinkedIn contacts, review monitored activity, and prepare engagement campaigns. This page covers its hosted endpoint (https://mcp.opencomment.ai/mcp).

Is the OpenComment AI MCP server safe to use?

OpenComment AI scores 76 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 OpenComment AI MCP server expose?

OpenComment AI exposes 4 tools: product_overview, product_search, pricing_reference, get_started. Their descriptions and schemas cost roughly 97 tokens of context every time the server is loaded.

Does the OpenComment AI MCP server require authentication?

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

Is the OpenComment AI MCP server still maintained?

OpenComment AI 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.