Argosor 15-Tool Semantic MCP Specification (TDQS 100/100) — Argosor — Unified SEO, SERP, Clean Markdown & GEO (AI Citation Visibility) MCP Server MCP Resource
Argosor 15-Tool Semantic MCP Specification (TDQS 100/100)
is one of 3 resources on the
Argosor — Unified SEO, SERP, Clean Markdown & GEO (AI Citation Visibility) MCP Server
MCP server. Connect the server and your client can attach it as context.
by client
How to attach Argosor 15-Tool Semantic MCP Specification (TDQS 100/100) from your client
- Claude Code Argosor — Unified SEO, SERP, Clean Markdown & GEO (AI Citation Visibility) MCP Server Resource/Argosor 15-Tool Semantic MCP Specification (TDQS 100/100) run in your project directory
- Claude Desktop Argosor — Unified SEO, SERP, Clean Markdown & GEO (AI Citation Visibility) MCP Server Resource/Argosor 15-Tool Semantic MCP Specification (TDQS 100/100) ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Argosor — Unified SEO, SERP, Clean Markdown & GEO (AI Citation Visibility) MCP Server Resource/Argosor 15-Tool Semantic MCP Specification (TDQS 100/100) ~/.cursor/mcp.json
- VS Code Argosor — Unified SEO, SERP, Clean Markdown & GEO (AI Citation Visibility) MCP Server Resource/Argosor 15-Tool Semantic MCP Specification (TDQS 100/100) .vscode/mcp.json
- Zed Argosor — Unified SEO, SERP, Clean Markdown & GEO (AI Citation Visibility) MCP Server Resource/Argosor 15-Tool Semantic MCP Specification (TDQS 100/100) ~/.config/zed/settings.json
- Windsurf Argosor — Unified SEO, SERP, Clean Markdown & GEO (AI Citation Visibility) MCP Server Resource/Argosor 15-Tool Semantic MCP Specification (TDQS 100/100) ~/.codeium/windsurf/mcp_config.json
- Cline Argosor — Unified SEO, SERP, Clean Markdown & GEO (AI Citation Visibility) MCP Server Resource/Argosor 15-Tool Semantic MCP Specification (TDQS 100/100) ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Argosor — Unified SEO, SERP, Clean Markdown & GEO (AI Citation Visibility) MCP Server Resource/Argosor 15-Tool Semantic MCP Specification (TDQS 100/100) ~/.gemini/settings.json
- Grok Argosor — Unified SEO, SERP, Clean Markdown & GEO (AI Citation Visibility) MCP Server Resource/Argosor 15-Tool Semantic MCP Specification (TDQS 100/100) .mcp.json (in your project root)
- ChatGPT Argosor — Unified SEO, SERP, Clean Markdown & GEO (AI Citation Visibility) MCP Server Resource/Argosor 15-Tool Semantic MCP Specification (TDQS 100/100) Settings → Connectors → Advanced → Developer mode
- Claude.ai Argosor — Unified SEO, SERP, Clean Markdown & GEO (AI Citation Visibility) MCP Server Resource/Argosor 15-Tool Semantic MCP Specification (TDQS 100/100) Settings → Connectors → Add custom connector
- LangChain Argosor — Unified SEO, SERP, Clean Markdown & GEO (AI Citation Visibility) MCP Server Resource/Argosor 15-Tool Semantic MCP Specification (TDQS 100/100) pip install langchain-mcp-adapters
Other resources on this server
Argosor — Unified SEO, SERP, Clean Markdown & GEO (AI Citation Visibility) MCP Server also offers 4 prompts — things you invoke, where a resource is context you attach.
Read from the server itself, by connecting to it and calling resources/list on 27 October 2026.
A listing does not declare its resources, so asking is the only way to know them, and this
is what the server actually offers rather than what its listing claims. Names only are
stored; connect the server for each resource's type and contents.