
phuctm97/canagentsuse
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Can agents use?
概要
Find tools an AI agent can actually use. Can Agents Use is a public, file-backed directory of APIs, CLIs, MCP servers, browser-operable products, pricing pages, docs, sandboxes, and account setup flows. The website is the live searchable surface. This README is the GitHub surface: a compact map of the project, the data, and the agent-facing interfaces. The catalog is generated from data/tools and data/taxonomy.json, then exposed through the website, API, MCP endpoint, CLI, and LLM-friendly Markdown exports. For current catalog contents, use the live search at canagentsuse.com or fetch /api/agent/catalog. Every tool record is scored from evidence, not vibes. A good record answers: - Can an agent operate it through an API, CLI, MCP server, or browser? - Are docs, pricing, auth, and account setup clear enough to automate safely? - Is there a sandbox, test mode, local mode, preview environment, or dry run? - What should a human review before production use?
README
以下は原文 README の抜粋です。原文を見る。
Can Agents Use
Find tools an AI agent can actually use.
Can Agents Use is a public, file-backed directory of APIs, CLIs, MCP servers, browser-operable products, pricing pages, docs, sandboxes, and account setup flows. The website is the live searchable surface. This README is the GitHub surface: a compact map of the project, the data, and the agent-facing interfaces.
What Is In The Catalog
The catalog is generated from data/tools and
data/taxonomy.json, then exposed through the website,
API, MCP endpoint, CLI, and LLM-friendly Markdown exports.
For current catalog contents, use the live search at
canagentsuse.com or fetch
/api/agent/catalog.
Every tool record is scored from evidence, not vibes. A good record answers:
- Can an agent operate it through an API, CLI, MCP server, or browser?
- Are docs, pricing, auth, and account setup clear enough to automate safely?
- Is there a sandbox, test mode, local mode, preview environment, or dry run?
- What should a human review before production use?
Features
- Fast searchable directory for agent-friendly software.
- Cmd-K style search for tools, categories, and capability signals.
- Category and capability filtering for broad comparisons.
- Tool detail pages with score breakdowns, evidence links, and limitations.
- Public API routes for agents and scripts.
- Read-only MCP-style JSON-RPC endpoint.
- LLM-friendly Markdown exports.
- JSON catalog stored directly in the repo.
- JSON Schema and audit scripts for safer contributions.
- GitHub pull request and agent-prompt submission flow.
Agent-Readiness Signals
The catalog tracks eight normalized signals:
| Signal | What It Means |
|---|---|
| CLI | Official or strong command-line workflow. |
| API | Documented API with machine-friendly auth and examples. |
| MCP | Official or community MCP server for agent integration. |
| Browser | Product can be operated through browser automation when needed. |
| Account creation | Signup and setup are clear enough for assisted onboarding. |
| Pricing clarity | Pricing, limits, and free tiers can be inspected before use. |
| Docs quality | Documentation is complete enough for agent-safe reasoning. |
| Sandbox | Test mode, local mode, preview environment, or safe dry run exists. |
Scoring Model
Scores are out of 100 and are derived from the evidence in each tool record.
| Group | Points |
|---|---|
| Machine operability | 25 |
| Agent safety | 25 |
| Agent readability | 20 |
| Auth and setup | 15 |
| Production reliability | 15 |
The website keeps the score compact. Agent surfaces expose the detailed
scoreBreakdown object.
Launch Score Model
launchScore is a secondary ranking signal used after agent readiness. It is
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インストール
npx skillfish add phuctm97/canagentsuse