What is an AEO Score?
An AEO Score (0–100) measures how well an AI tool is designed for autonomous agents, covering API accessibility, data structuring, agent compatibility, and trust signals.
C
Clarvia MCP Server
@clarvia-project
基本情報
Clarvia MCP Server について
AEO (Agent Engine Optimization) scanner — scores and benchmarks 12,800+ AI agent tools for discoverability, quality, and agent compatibility. 14 MCP tools for searching, scanning, comparing, and benchmarking.
Clarvia MCP Server の設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"clarvia": {
"command": "npx",
"args": [
"-y",
"clarvia-mcp-server"
]
}
}
}Clarvia MCP Server のツール
17Search 27,886+ AI agent tools (MCP servers, APIs, CLIs) by keyword, category, or score. Use when you need to find the best tool for a specific task, compare alternatives, or check agent readiness. Returns Clarvia AEO scores (0-100) indicating how easily AI agents can discover and use each service.
Run a full AEO audit on any URL — evaluates agent discoverability, API quality, documentation, and MCP readiness. Use when you need to score a website or API for AI agent compatibility, or when building an agent and want to verify a tool meets quality standards. Returns a Clarvia score (0-100) with detailed breakdown.
Get the full AEO evaluation report for a previously scanned service. Use when you need detailed scoring breakdown (documentation, API design, error handling, auth, MCP support) or want to understand why a tool scored high or low. Requires a scan_id from search_services or scan_service results.
List all tool categories in the Clarvia directory with service counts per category. Use when you need to browse available categories before searching, discover what types of AI tools exist, or build a category-based navigation for agent tool selection.
Get aggregate statistics for the Clarvia tool directory — total indexed services, average AEO score, score distribution, and category breakdown. Use when you need an overview of the AI tool ecosystem quality, want to benchmark a tool against the average, or report on agent-readiness trends.
Submit a new AI tool, MCP server, API, or CLI for Clarvia indexing and AEO scoring. Use when you want to register your service in the directory, get an agent-readiness evaluation, or make your tool discoverable by AI agents. The service will be queued for automated scanning.
Before calling any external API or MCP, use this to check if it is agent-ready. Returns AGENT_NATIVE / AGENT_FRIENDLY / AGENT_POSSIBLE / AGENT_HOSTILE with a boolean pass/fail. Call this first — if the service scores below your threshold, use clarvia_find_alternatives to get a better-rated replacement automatically.
Batch-check up to 10 service URLs in a single call — returns pass/fail and agent grade for each. Use when comparing multiple tool candidates side-by-side, pre-filtering a list of APIs before integration, or building an agent that selects the best tool from several options. More efficient than calling gate_check repeatedly.
Find higher-rated alternative tools in a given category, ranked by agent-readiness score. Use when a service fails the gate check and you need a replacement, when comparing options in a category (payment, AI, crypto, SaaS), or when an agent needs to fall back to a better-scored tool automatically.
Run a live accessibility probe on a service URL right now — checks HTTP reachability, response latency, OpenAPI/Swagger spec presence, MCP server-card availability, and agents.json discovery endpoint. Use when you need real-time health status (not cached scores), want to verify a service is online before calling it, or are debugging connectivity issues with an agent tool.
Report the outcome after using a tool (success / failure / partial) to contribute to Clarvia's reliability dataset. Use after every agent tool invocation to help build community-driven quality signals. Accepts optional latency and error details. Improves future agent tool selection accuracy for all users.
Register your current tool setup (MCP servers, CLIs, APIs, Skills) with Clarvia to get AEO scores and category rankings for each tool. Use when you want to benchmark your agent's toolchain, track setup quality over time, or prepare for comparison and upgrade recommendations. Returns a setup_id for use with compare_my_setup and recommend_upgrades.
Compare your registered tool setup against higher-scored alternatives in each category. Shows the best available upgrades for each tool and the category average score. Use after register_my_setup to identify weak spots in your toolchain and find better-rated replacements. Requires a setup_id from register_my_setup.
Report a bug, request a feature, ask a question, or flag a security issue with Clarvia or any indexed tool. Use when you encounter problems with a tool's AEO score, find incorrect data, want to suggest improvements to the Clarvia platform, or discover a security vulnerability. Creates a tracked ticket that the Clarvia team will address.
List existing CS tickets — check status of previously reported issues, see what bugs are known, or find feature requests to upvote. Use to avoid duplicate reports or to track the status of your submitted tickets.
Get personalized tool recommendations based on your registered setup. Suggests high-scoring tools you don't have yet — both within your existing categories and in complementary adjacent categories. Uses 'users with X also use Y' heuristics. Requires a setup_id from register_my_setup.
Get agent-verified top picks — only tools that scored Excellent (80+) out of 27,886+ scanned. These are the most agent-ready services in the ecosystem, curated by Clarvia's AEO scoring. Use when an agent asks 'what are the best tools?' or 'recommend verified tools'.
概要
What is Clarvia?
Clarvia is an AEO (Agent Engine Optimization) scanner that scores AI agent tools (APIs, MCP servers) on how easily AI agents can discover, integrate, and trust them. It assigns a score from 0 to 100 across four dimensions: API Accessibility, Data Structuring, Agent Compatibility, and Trust Signals, plus an optional Onchain Bonus. It indexes over 15,400 services.
How to use Clarvia?
Install with one command: npx -y clarvia-mcp-server. Add to any MCP client configuration (Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Continue.dev) or use the remote endpoint https://clarvia-api.onrender.com/mcp/. The Node.js MCP server provides 16 tools; a Python MCP server offers 24 tools.
Key features of Clarvia
- AEO Score (0–100) for any AI tool, API, or MCP server.
- Four scoring dimensions with detailed breakdowns.
- Search over 15,400 indexed AI tools by keyword or score.
- Safety gate tool (clarvia_gate_check) for agent workflows.
- Batch checking and alternative finding tools.
- Personalized upgrade recommendations for tool makers.
Use cases of Clarvia
- Agents gating external tool calls to ensure reliability.
- Tool makers auditing their own service and improving agent-readiness.
- Discovering high-quality alternatives in a category.
- CI/CD pipeline integration via GitHub Actions.
- Comparing multiple tools side-by-side.
よくある質問
How do I install the Clarvia MCP server?
Run `npx -y clarvia-mcp-server` or add the remote endpoint `https://clarvia-api.onrender.com/mcp/` to any MCP client supporting Streamable HTTP transport.
What data does Clarvia index?
Clarvia indexes over 15,400 AI agent tools, APIs, and MCP servers, with categories and scores.
Are there rate limits?
Yes, free usage allows 10 scans per hour; 100 per hour with an X-API-Key
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