Access SEO, competitor, AI-search data, and blog workflows for drafting, scheduling, and publishing posts.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Opinly.
Opinly MCP server exposes marketing and content-management capabilities through the Model Context Protocol. Its stated scope covers three data areas: SEO information, competitor information, and AI-search information. It also includes blog management, with workflows for drafting, scheduling, and publishing posts.
This makes the server relevant to agents that need to work across search research and blog operations in one MCP connection. For example, an agent could use the available data capabilities for SEO or competitor work, then use the blog features to prepare or manage a post. The available material does not describe the specific fields returned, the search systems covered, or the publication destinations.
The Opinly MCP server is described as covering these capabilities:
The source describes these as server functionality but does not provide individual tool names, parameters, return formats, or examples. Developers should therefore verify the exposed tool schema before building an agent workflow around specific inputs or outputs.
The blog features indicate a workflow that goes beyond reading data: an agent may be able to create content in draft form, assign it for later scheduling, or publish it. The available description does not state whether these actions target Opinly itself or another connected blogging system, nor does it specify support for editing, deleting, reviewing, or updating existing posts.
The Opinly MCP server source is listed at opinly.ai/mcp, but no README or implementation details are available in the supplied material. Installation commands, transport type, authentication method, required configuration, environment variables, client compatibility, licensing, and version information are therefore unspecified.
The description also does not identify the data providers behind the SEO, competitor, or AI-search capabilities. It does not document freshness, geographic coverage, supported search engines, rate limits, permissions, or publishing safeguards. Confirm those details before selecting the Opinly MCP server for production automation.
Because the exposed schema is not provided, treat the capability list as a functional summary rather than a complete tool inventory. Validate the available operations and required arguments at the source before deciding whether it fits a particular research, content, or publishing workflow.
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