MCP Tool Integration · Public

agentql

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

MCPTool callingHost configurationPermission boundariesAcceptance checks

Best fitDevelopers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.

Check whether this project matches your task before installing it.

What it can doMCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot1.4k stars

157 forks · 19 contributors

Official first step Read manual preview Source repository

Publication status · 2026-05-31

What is agentql?

agentql helps connect external tools, services, or data sources to AI hosts that support MCP.
Best fit: Developers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.
Not for: Not for users who cannot change host configuration, grant tool permissions, or isolate network, file, and credential access.
Capability added to an AI workflow: MCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks
First safe verification step: Verify the MCP server command, permission scope, and rollback path in a non-primary host configuration first.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/tinyfish-io/agentql, https://github.com/tinyfish-io/agentql#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.

Match the project to your task before installing it.

CapabilityMCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

Repositorytinyfish-io/agentql

1.4k stars · 157 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Introduction to AgentQL

Related topics: Quick Start Guide, Python SDK

Source: https://github.com/tinyfish-io/agentql / Human Manual

Quick Start Guide

Related topics: Python SDK, JavaScript SDK

Source: https://github.com/tinyfish-io/agentql / Human Manual

Python SDK

Related topics: JavaScript SDK, Browser Modes and Configuration

Source: https://github.com/tinyfish-io/agentql / Human Manual

JavaScript SDK

REST API

Related topics: Python SDK, JavaScript SDK

Source: https://github.com/tinyfish-io/agentql / Human Manual

Sources: https://github.com/tinyfish-io/agentql, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars1.4k stars

Forks157 forks

Contributors19 contributors

Licenseunknown

Community Discussion Evidence

3 source-linked items

Review these external discussions before using agentql with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Starlog published a deep-dive on tinyfish-io/agentql
github / github_issue
02
Dependency Dashboard
github / github_issue
03
Capability evidence risk requires verification
GitHub / issue

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pip install agentql

Official start command · https://github.com/tinyfish-io/agentql#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

agentql Manual

AgentQL addresses a fundamental challenge in web automation: traditional selectors (CSS, XPath) are brittle and break when web pages change. AgentQL uses natural language queries to locate...

Open the full manual

https://github.com/tinyfish-io/agentql Project Manual
Table of Contents
Introduction to AgentQL
Related Pages
Overview
Core Features
Architecture
Query Methods

Introduction to AgentQL

Related topics: Quick Start Guide, Python SDK

Source: https://github.com/tinyfish-io/agentql / Human Manual

Quick Start Guide

Related topics: Python SDK, JavaScript SDK

Source: https://github.com/tinyfish-io/agentql / Human Manual

Python SDK

Related topics: JavaScript SDK, Browser Modes and Configuration

Source: https://github.com/tinyfish-io/agentql / Human Manual

JavaScript SDK

REST API

Related topics: Python SDK, JavaScript SDK

Source: https://github.com/tinyfish-io/agentql / Human Manual

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.