F
licenseNot graded
qualityC
maintenanceEnables AI-powered LinkedIn automation, including content generation, profile and company data extraction, connection requests, and post scraping through MCP tools.
-
OpenComment AI
Server Details
Research saved LinkedIn contacts, review monitored public activity, and prepare engagement campaigns. Four product/setup tools work anonymously. Company tools require OAuth or a scoped API key: explicitly sign in and refresh tools. Paid actions require a credit budget. MCP cannot post comments or start extension delivery. Setup and examples: https://opencomment.ai/mcp
Ownership verified
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
B3.2/5.0
Scored across 4 tools
Disambiguation4/5
Most tools have distinct purposes: get_started for onboarding, pricing_reference for pricing, product_overview for high-level product info, and product_search for targeted fact retrieval. However, product_overview and product_search both cover product information, so an agent may occasionally be unsure which to call for a general product question.
Naming Consistency4/5
All names use snake_case and are descriptive, but the pattern is mixed: get_started uses a verb_noun form while pricing_reference, product_overview, and product_search are noun phrases. This is a minor deviation rather than a confusing inconsistency.
Tool Count4/5
Four tools is slightly on the low side but appropriate for a focused product-info server. Each tool addresses a distinct informational need (onboarding, pricing, overview, search), so none feels redundant.
Completeness4/5
The surface covers common product-inquiry tasks: getting started, checking pricing, understanding the product, and searching facts. Some peripheral needs (e.g., support contact or changelog) are not explicitly covered, but product_search may partially fill those gaps.
Available Tools
4 toolsget_startedGet startedBRead-onlyInspect
Learn how to sign up, connect an agent, and begin the product workflow.
Inputs: no named parameters.
pricing_referencePricing referenceARead-onlyInspect
Get the canonical page for current plans and credits. Prices are not cached in MCP.
Inputs: no named parameters.
product_overviewAbout OpenComment AICRead-onlyInspect
Learn what OpenComment AI does, with canonical product sources.
Inputs: no named parameters.
product_searchSearch product informationBRead-onlyInspect
Search curated public OpenComment AI product facts and page summaries.
Inputs: query (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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