Tools for Agents

MCP serverAI & models

Once added, your AI can decide which tool to use for a task and carry it out, drawing on more than 58 built-in tools and an Advisor. It acts as a decision layer for AI agents. A free key is available when you register.

Use Tools for Agents in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Tools for Agents and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the orient tool from Tools for Agents

Details

Available today. Use it from your connected AI after setup.

After adding it, register to get your free key. Then give your AI a task and let it pick and use the tools it needs.

Tools for AgentsStart free

What your AI can do with it

  • Choose the right tool for a task on its own
  • Use more than 58 built-in tools
  • Get suggestions from the Advisor on how to handle a task

Install Tools for Agents

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user tools-for-agents 'https://api.toolsforagents.tools/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://api.toolsforagents.tools/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=tools-for-agents&config=eyJ1cmwiOiJodHRwczovL2FwaS50b29sc2ZvcmFnZW50cy50b29scy9tY3AifQ==

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://api.toolsforagents.tools/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add tools-for-agents --url 'https://api.toolsforagents.tools/mcp'

    Run it once, then sign in with codex mcp login tools-for-agents if the server asks for an account.

From the project's README

As published by max124vip-dev/tools-for-agents in README.md.


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 getInstead of
POST /v1/advisor → plan + alternativesManually picking from 100 endpoints
GET /v1/tools/{tool}/examples → exact JSON bodiesTrial-and-error 422 errors
POST /v1/chains/run → multi-step pipelinesWiring 5 tools yourself
POST /a2a/v1/skills/.../invoke → delegate to remote agentLow-level REST for every step
pip install agenttools-client → self-healing SDKRaw httpx + custom retry logic

Live service: toolsforagents.tools · API: api.toolsforagents.tools


Who is it for?

AudienceUse case
Autonomous AI agentsSelf-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 systemsA2A Agent Card + 13 skills — delegate research, ingest, missions
Developers prototyping agentsFree 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/register with 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:

  1. GET /v1/onboarding — read the playbook
  2. POST /v1/advisor — plan before acting (0 units)
  3. POST /v1/dry-run — probe URL cost/JS (~450 ms, 0 units)
  4. POST /v1/register {} — get API key (no email)
  5. GET /v1/tools/{tool}/examples — copy exact request body
  6. 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

LayerDescription
Agent AdvisorGoal → workflow, confidence, cost, alternatives (0 units)
100+ REST toolsWeb, PDF, OCR, search, RAG, trust, crypto, validation…
28 tool chainspdf_summary, youtube_summary, article_read, research_with_confidence…
13 A2A skillsDelegate ingest, research, missions, chains to remote agent
98 MCP toolsCursor, Claude Desktop, Smithery — catalog
Python SDKAuto auth · 422 heal · 5xx retry · PyPI
Commons memoryShared agent learnings — POST /v1/commons/recall (public read)
CRP DiscoveryQuality Capability Discovery — POST /v1/crp/resolve (free) → execute → feedback
x402 paymentsPay 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

ProtocolEntry pointBest for
REST + OpenAPIapi.toolsforagents.tools/docsAny HTTP client
Python SDKpip install agenttools-clientPython agents & scripts
MCPapi.toolsforagents.tools/mcpIDE agents
A2A/.well-known/agent-card.jsonMulti-agent orchestrators
llms.txttoolsforagents.tools/llms.txtLLM crawlers

Documentation

DocDescription
Complete API GuideMandatory reading for agents — prevents 422, covers chains & SDK
CRP Spec v0Quality Capability Discovery — resolve, feedback, provenance
CRP RoadmapImplementation phases 0–7
Capability Taxonomy31 stable capability IDs
Agent Passport SpecExternal agent identity
MCP Quick StartCursor, Claude, Windsurf configs
A2A Remote Agent13 skills + invoke examples
QuickstartHuman-friendly overview
x402 wallet paymentsPay-per-call without signup
ArchitectureHigh-level system design
Registries (Smithery)MCP catalog publishing

Machine-readable discovery:

ResourceURL
Agent playbookGET https://api.toolsforagents.tools/v1/onboarding
Tool indexGET https://api.toolsforagents.tools/.well-known/tool-index.json
Examples indexGET https://api.toolsforagents.tools/v1/tools/examples/index
Agent Card (A2A)GET https://api.toolsforagents.tools/.well-known/agent-card.json
CRP resolvePOST https://api.toolsforagents.tools/v1/crp/resolve
CRP capabilitiesGET https://api.toolsforagents.tools/v1/crp/capabilities

Repository contents

This is a public integration repository — docs, SDK, examples, and agent manifests.

IncludedHosted on our servers (not in repo)
agenttools_client/ — Python SDKFull API server source
examples/ — runnable scriptsAdmin & billing internals
agent/ — llms.txt & agent.txtProduction infrastructure
docs/ · mcp-configs/Proprietary tool implementations

You integrate with the live API — this repo is not a self-hostable clone.


Support


License

Documentation and examples: see LICENSE.
The hosted API at api.toolsforagents.tools is a commercial service.


Tools it offers (107)

What this server listed when Ahel dialed its public endpoint in Sep 2026, with no key and no account of yours. The names are the server’s own.

  • orient
  • extract_url
  • extract_pdf
  • embed_text
  • ocr_image
  • book_ocr
  • validate_email
  • crypto_invoke
  • html_to_markdown
  • x402_info
  • list_tools
  • web_search
  • page_metadata
  • page_peek
  • extract_outline
  • truncate_context
  • chunk_text
  • text_similarity
  • validate_phone
  • youtube_transcript
  • extract_query
  • summarize_text
  • rerank_docs
  • translate_text
  • agent_research
  • browser_interact
  • read_url
  • research_topic
  • map_site
  • estimate_cost

Signals

GitHub stars
2
Last commit
Sep 2026
Advanced
Delivery
tools-for-agents MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-max124vip-dev-tools-for-agents
Source
github.com/max124vip-dev/tools-for-agents
Hosted endpoint
https://api.toolsforagents.tools/mcp