agentscamp.com valid
AgentsCamp
Guides, an AI tool directory, and a plain-language glossary for developers, founders, marketers, designers, and analysts, plus installable Claude Code skills.
- Authority
- 45 reach 0 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://agentscamp.com/llms.txt
- llms-full.txt
- https://agentscamp.com/llms-full.txt
- Sections
- 9
- Links
- 967
- Size
- 280319 bytes
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-23T05:45:02.806Z
- Last checked
- 2026-10-23T05:45:04.544Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-23T05:45:02.972Z. Cached copy · Source on agentscamp.com
# AgentsCamp
> Guides, an AI tool directory, and a plain-language glossary for developers, founders, marketers, designers, and analysts, plus installable Claude Code skills.
Guides, a tool directory, and a glossary for anyone working with AI, plus agents, skills, and commands that are copy-paste/installable and format-validated for Claude Code. Each content page below has a clean Markdown twin at the same URL with a `.md` suffix.
## Guides
Long-form guides and tutorials for building with AI coding agents.
- [Building an MCP Server](https://agentscamp.com/guides/advanced/building-an-mcp-server.md): An accurate introduction to the Model Context Protocol: server anatomy, transports, and connecting a tool to Claude Code.
- [Building Multi-Step Agent Workflows](https://agentscamp.com/guides/advanced/building-multi-step-workflows.md): Patterns for building multi-step agent workflows in Claude Code: decompose tasks, fan-out to parallel subagents, verify every step, and orchestrate.
- [Building Agents with the Claude Agent SDK](https://agentscamp.com/guides/advanced/claude-agent-sdk-tutorial.md): A working tutorial for the Claude Agent SDK in TypeScript and Python — query(), tool permissions, custom in-process MCP tools, subagents, hooks, and auth.
- [Running Claude Code in CI: Headless Mode & GitHub Actions](https://agentscamp.com/guides/advanced/claude-code-ci-github-actions.md): Claude Code without the terminal — claude -p flags, JSON and structured output, safe permission scoping, and the official GitHub Action responding to @claude.
- [Codex Subagents: Parallel Work Without Losing Control](https://agentscamp.com/guides/advanced/codex-subagents.md): Use Codex subagents for parallel exploration, review, tests, and implementation — including decomposition, custom agents, permissions, and merge discipline.
- [Jina Reader API: r.jina.ai and s.jina.ai Headers, Examples, and Limits](https://agentscamp.com/guides/advanced/jina-reader-api.md): How to use the Jina Reader API: r.jina.ai and s.jina.ai quickstart, every documented request header, curl recipes, rate limits, MCP setup, and self-hosting.
- [LLM API Pricing in 2026: Every Major Model Compared](https://agentscamp.com/guides/advanced/llm-api-pricing-2026.md): Per-million-token prices for Claude, GPT, Gemini, DeepSeek, Mistral, and Grok — plus caching and batch discounts — verified against vendor pricing pages.
- [LLM Context Windows Compared (2026)](https://agentscamp.com/guides/advanced/llm-context-windows-compared.md): Context windows and max output tokens across Claude, GPT, Gemini, DeepSeek, and Grok — the million-token era, what it costs, and what fits in practice.
- [LLM Cost and Latency Engineering: Caching, Right-Sizing, and p95 Budgets](https://agentscamp.com/guides/advanced/llm-cost-latency-engineering.md): A practical playbook for cutting LLM cost and tail latency — caching, model right-sizing, prompt trimming, and enforced p95 budgets — without losing quality.
- [LLM Gateways Compared
…Related sites
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| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| sourcey.com | Sourcey | interface AI and machine learning AI agents and MCP | — | 70 | ✓ | ✓ | |
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| intellweb.ai | Intellweb | documentation Ecommerce Productivity +3 | US | 61 | ✓ | ✓ | |
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Cybersecurity +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Design +1 | FR | 75 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | — | 75 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ |
Machine-readable: GET /v1/resolve?q=agentscamp.com · GET /v1/domain/agentscamp.com · this page as Accept: application/json or text/markdown · MCP lookup_domain
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