Tools for Agents

Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "tools-for-agents": {
      "command": "uvx",
      "args": [
        "agenttools-client"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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/register with body {}.

How it works

Code

  ┌──────────────┐     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 playbook
POST /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)

Terminal

pip install agenttools-client

server.ts

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)

bash

# 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)

config.json

{
  "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

bash

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)

Terminal

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)

Terminal

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

Terminal

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)

python

# 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

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Tools for Agents

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "tools-for-agents": { "command": "npx", "args": ["-y", "Tools for Agents"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

37Quality signal: Fair · 37/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity2/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

★ Featured

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The official MCP server for AllMCPs.com - submit and manage tools directly from your AI. The open directory for MCP servers. Connect Claude, Cursor, Windsurf, and AI agents to databases, tools, files, and APIs. Explore 10,000+ servers. AllMCPs is the premier, open directory for discovering, evaluating, and installing Model Context Protocol (MCP) servers to equip AI agents and LLMs with real-world superpowers.

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Tools for Agents →Install in Claude Desktop Install in Cursor Install in VS Code

Tools for Agents

Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "tools-for-agents": {
      "command": "uvx",
      "args": [
        "agenttools-client"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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?

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/register with body {}.

How it works

Code

  ┌──────────────┐     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 playbook
POST /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)

Terminal

pip install agenttools-client

server.ts

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)

bash

# 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)

config.json

{
  "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

bash

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)

Terminal

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)

Terminal

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

Terminal

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)

python

# 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

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Tools for Agents

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "tools-for-agents": { "command": "npx", "args": ["-y", "Tools for Agents"] } }

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Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

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Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/tools-for-agents?style=directory)](https://allmcps.com/mcp/tools-for-agents)

HTML Embed

<a href="https://allmcps.com/mcp/tools-for-agents"><img src="https://allmcps.com/api/badge/tools-for-agents?style=directory" alt="Tools for Agents on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

37Quality signal: Fair · 37/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity2/15

Community engagement0/10

★ Featured

AllMCPs Server

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Tools for Agents →Install in Claude Desktop Install in Cursor Install in VS Code