Tools For Agents
FreeNot checkedDecision Layer for AI Agents — 58+ tools, MCP, Advisor, Commons memory, free tier and x402. https://toolsforagents.tools
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Decision Layer for AI Agents — 58+ tools, MCP, Advisor, Commons memory, free tier and x402. https://toolsforagents.tools
README
Tools for Agents
Decision layer for AI agents — plan workflows, execute 100+ tools, and delegate multi-step missions.
Not a flat API catalog. An orchestration platform built for autonomous agents.
What · Who · How · Quick start · Examples · Integrations · Docs
What is this?
Tools for Agents is a hosted API platform that gives AI agents real-world capabilities: read websites, search the web, extract PDFs, run OCR, build RAG pipelines, verify facts, and execute pre-built tool chains — all through machine-readable REST, MCP, and A2A interfaces.
Instead of guessing which of 100 endpoints to call, agents start with the Agent Advisor: describe a goal, get a workflow plan, cost estimate, and confidence score — then invoke tools with copy-paste examples that prevent validation errors.
| You get | Instead of |
|---|---|
POST /v1/advisor → plan + alternatives |
Manually picking from 100 endpoints |
GET /v1/tools/{tool}/examples → exact JSON bodies |
Trial-and-error 422 errors |
POST /v1/chains/run → multi-step pipelines |
Wiring 5 tools yourself |
POST /a2a/v1/skills/.../invoke → delegate to remote agent |
Low-level REST for every step |
pip install agenttools-client → self-healing SDK |
Raw httpx + custom retry logic |
Live service: toolsforagents.tools · API: api.toolsforagents.tools
Who is it for?
| Audience | Use case |
|---|---|
| Autonomous AI agents | Self-register, plan with Advisor, invoke tools — no human in the loop |
| Agent builders (LangChain, CrewAI, custom orchestrators) | REST + Python SDK + tool chains |
| IDE agents (Cursor, Claude Desktop, Windsurf) | Remote MCP at /mcp — configs |
| Multi-agent systems | A2A Agent Card + 13 skills — delegate research, ingest, missions |
| Developers prototyping agents | Free tier: 5,000 req/day, instant API key, Swagger UI |
Critical rule for agents: never ask a human for an API key.
Register programmatically:POST /v1/registerwith body{}.
How it works
┌──────────────┐ 1. Plan ┌─────────────────────┐
│ Your agent │ ──────────────────► │ Agent Advisor │
│ (any stack) │ POST /advisor │ workflow · cost │
└──────┬───────┘ └──────────┬──────────┘
│ │
│ 2. Register (once) │ 3. Execute
│ POST /register {} ▼
│ ┌─────────────────────┐
└────────────────────────────►│ Tools for Agents │
REST · MCP · A2A · SDK │ extract · pdf · rag │
│ chains · missions │
└──────────┬──────────┘
│
┌─────────────────────────────┼─────────────────────────────┐
▼ ▼ ▼
Web & documents Trust & cognitive Orchestration
extract, ingest, pdf verify, confidence, bias chains, workflows
Typical agent loop:
GET /v1/onboarding— read the playbookPOST /v1/advisor— plan before acting (0 units)POST /v1/dry-run— probe URL cost/JS (~450 ms, 0 units)POST /v1/register {}— get API key (no email)GET /v1/tools/{tool}/examples— copy exact request body- Invoke tool · or
POST /v1/chains/run· or A2A skill
Quick start
Option A — Python SDK (recommended)
pip install agenttools-client
import asyncio
from agenttools_client import AsyncAgentToolsClient
async def main():
async with AsyncAgentToolsClient() as client:
# Auto-registers if no API key
plan = await client.advisor("Extract markdown from a blog post URL")
page = await client.extract("https://example.com", format="markdown")
chain = await client.a2a.run_chain("article_read", {"url": "https://example.com"})
asyncio.run(main())
PyPI: pypi.org/project/agenttools-client · Demo: examples/sdk_demo.py
Option B — curl (any language)
# Plan (no auth)
curl -X POST https://api.toolsforagents.tools/v1/advisor \
-H "Content-Type: application/json" \
-d '{"goal":"Extract markdown from example.com"}'
# Register (no email)
curl -X POST https://api.toolsforagents.tools/v1/register \
-H "Content-Type: application/json" -d '{}'
# → save api_key from response
# Extract
curl -X POST https://api.toolsforagents.tools/v1/extract \
-H "Authorization: Bearer sk_live_..." \
-H "Content-Type: application/json" \
-d '{"url":"https://example.com","format":"markdown"}'
Option C — MCP (Cursor / Claude Desktop)
{
"mcpServers": {
"tools-for-agents": {
"type": "streamable-http",
"url": "https://api.toolsforagents.tools/mcp",
"headers": { "Authorization": "Bearer sk_live_YOUR_KEY" }
}
}
}
Copy-paste configs: mcp-configs/ · Guide: docs/MCP_QUICKSTART.md
Option C — Clone this repo
git clone https://github.com/max124vip-dev/tools-for-agents.git
cd tools-for-agents
pip install -e ./agenttools_client
python examples/sdk_demo.py
python examples/advisor_flow.py "Research AI agent API best practices"
Examples
Research a topic (one call)
curl -X POST https://api.toolsforagents.tools/v1/agent/research \
-H "Authorization: Bearer sk_live_..." \
-H "Content-Type: application/json" \
-d '{"query":"solid-state battery news 2025","max_results":5}'
Run a tool chain (PDF → summary)
curl -X POST https://api.toolsforagents.tools/v1/chains/run \
-H "Authorization: Bearer sk_live_..." \
-H "Content-Type: application/json" \
-d '{"chain_id":"pdf_summary","inputs":{"url":"https://example.com/report.pdf"}}'
A2A — delegate to remote agent skill
curl -X POST https://api.toolsforagents.tools/a2a/v1/skills/youtube-summary/invoke \
-H "Authorization: Bearer sk_live_..." \
-H "Content-Type: application/json" \
-d '{"input":{"url":"https://www.youtube.com/watch?v=..."}}'
Self-healing on 422 (SDK)
# Wrong body → SDK fetches /v1/tools/{tool}/examples and retries once
await client.json("POST", "/v1/confidence/estimate", json={})
More: examples/ · 400+ API examples: GET /v1/tools/examples/index
What you get
| Layer | Description |
|---|---|
| Agent Advisor | Goal → workflow, confidence, cost, alternatives (0 units) |
| 100+ REST tools | Web, PDF, OCR, search, RAG, trust, crypto, validation… |
| 28 tool chains | pdf_summary, youtube_summary, article_read, research_with_confidence… |
| 13 A2A skills | Delegate ingest, research, missions, chains to remote agent |
| 98 MCP tools | Cursor, Claude Desktop, Smithery — catalog |
| Python SDK | Auto auth · 422 heal · 5xx retry · PyPI |
| Commons memory | Shared agent learnings — POST /v1/commons/recall (public read) |
| CRP Discovery | Quality Capability Discovery — POST /v1/crp/resolve (free) → execute → feedback |
| x402 payments | Pay per call with USDC — no account (docs) |
Free tier: 5,000 requests/day · 120/min · 500 GPU units/month · instant register
Live latency (p50): dry-run ~450 ms · register ~700 ms · advisor ~600 ms
Integrations
| Protocol | Entry point | Best for |
|---|---|---|
| REST + OpenAPI | api.toolsforagents.tools/docs | Any HTTP client |
| Python SDK | pip install agenttools-client |
Python agents & scripts |
| MCP | api.toolsforagents.tools/mcp | IDE agents |
| A2A | /.well-known/agent-card.json | Multi-agent orchestrators |
| llms.txt | toolsforagents.tools/llms.txt | LLM crawlers |
Documentation
| Doc | Description |
|---|---|
| Complete API Guide | Mandatory reading for agents — prevents 422, covers chains & SDK |
| CRP Spec v0 | Quality Capability Discovery — resolve, feedback, provenance |
| CRP Roadmap | Implementation phases 0–7 |
| Capability Taxonomy | 31 stable capability IDs |
| Agent Passport Spec | External agent identity |
| MCP Quick Start | Cursor, Claude, Windsurf configs |
| A2A Remote Agent | 13 skills + invoke examples |
| Quickstart | Human-friendly overview |
| x402 wallet payments | Pay-per-call without signup |
| Architecture | High-level system design |
| Registries (Smithery) | MCP catalog publishing |
Machine-readable discovery:
| Resource | URL |
|---|---|
| Agent playbook | GET https://api.toolsforagents.tools/v1/onboarding |
| Tool index | GET https://api.toolsforagents.tools/.well-known/tool-index.json |
| Examples index | GET https://api.toolsforagents.tools/v1/tools/examples/index |
| Agent Card (A2A) | GET https://api.toolsforagents.tools/.well-known/agent-card.json |
| CRP resolve | POST https://api.toolsforagents.tools/v1/crp/resolve |
| CRP capabilities | GET https://api.toolsforagents.tools/v1/crp/capabilities |
Repository contents
This is a public integration repository — docs, SDK, examples, and agent manifests.
| Included | Hosted on our servers (not in repo) |
|---|---|
| agenttools_client/ — Python SDK | Full API server source |
| examples/ — runnable scripts | Admin & billing internals |
| agent/ — llms.txt & agent.txt | Production infrastructure |
| docs/ · mcp-configs/ | Proprietary tool implementations |
You integrate with the live API — this repo is not a self-hostable clone.
Support
- Website: toolsforagents.tools
- Telegram: @MaxVip124 — support, partnerships
- Pricing: toolsforagents.tools/pricing
License
Documentation and examples: see LICENSE.
The hosted API at api.toolsforagents.tools is a commercial service.
Built for agents that act — not agents that ask humans for API keys.
Website ·
Onboarding ·
PyPI ·
llms.txt ·
Smithery
Installing Tools For Agents
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/max124vip-dev/tools-for-agentsFAQ
Is Tools For Agents MCP free?
Yes, Tools For Agents MCP is free — one-click install via Unyly at no cost.
Does Tools For Agents need an API key?
No, Tools For Agents runs without API keys or environment variables.
Is Tools For Agents hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Tools For Agents in Claude Desktop, Claude Code or Cursor?
Open Tools For Agents on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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