AgentQL

v1.0.8APIsstable

Production-ready MCP servers for 70+ APIs — GitHub, Google, Notion, Jira & more. Generated from OpenAPI specs, tested against live APIs. Works with Claude Desktop, Cursor, Codex & Claude Code.

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What is AgentQL?

AgentQL is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to production-ready mcp servers for 70+ apis — github, google, notion, jira & more. generated from openapi specs, tested against live apis. works with claude desktop, cursor, codex & claude code.

Production-ready MCP servers for 70+ APIs — GitHub, Google, Notion, Jira & more. Generated from OpenAPI specs, tested against live APIs. Works with Claude Desktop, Cursor, Codex & Claude Code.

This server falls under the APIs and Developer Tools categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • extract-web-data

Use Cases

Multi-API integration for 70+ services
GitHub, Google, Notion, Jira access
mcparmory

Maintainer

LicenseMIT License
Languagepython
Versionv1.0.8
UpdatedMay 12, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y agentql-mcp

PIP

pip install mcparmory-agentql

Manual Installation

npx -y agentql-mcp

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use AgentQL

AgentQL (via mcparmory) is a production-ready MCP server generated from OpenAPI specifications that provides access to 70+ APIs — including GitHub, Google, Notion, and Jira — all tested against live endpoints. It works with Claude Desktop, Cursor, Claude Code, and Codex, and is installable in seconds with uvx or pip. Developers use it to give AI assistants broad, reliable API access without writing custom integration code for each service.

Prerequisites

  • Python 3.10 or later with uv installed, or Node.js 18 or later
  • A BEARER_TOKEN or API key for the specific service(s) you want to access (e.g. GitHub personal access token, Notion integration token)
  • An MCP-compatible client: Claude Desktop, Cursor, Claude Code, or Codex
1

Install the AgentQL MCP server via uvx (no install required)

Use uvx to run the server directly without a permanent installation. This is the recommended zero-friction approach.

uvx mcparmory-agentql
2

Or install via pip for a persistent setup

Install the package globally so it is available as a system command.

pip install mcparmory-agentql
mcparmory-agentql
3

Or install via npm

Use npx to run the npm package variant without a permanent install.

npx -y agentql-mcp
4

Add the server to your Claude Desktop config with your API credentials

Register AgentQL in claude_desktop_config.json and supply your authentication token for the target API service.

{
  "mcpServers": {
    "agentql": {
      "command": "uvx",
      "args": ["mcparmory-agentql"],
      "env": {
        "BEARER_TOKEN": "your_api_token_here"
      }
    }
  }
}
5

Restart your MCP client and verify the tools are available

Restart Claude Desktop or Cursor. The full set of API tools for your configured service should now be available for Claude to call.

AgentQL Examples

Client configuration

claude_desktop_config.json entry for the AgentQL MCP server using uvx with a bearer token.

{
  "mcpServers": {
    "agentql": {
      "command": "uvx",
      "args": ["mcparmory-agentql"],
      "env": {
        "BEARER_TOKEN": "your_api_token_here"
      }
    }
  }
}

Prompts to try

Example prompts using the 70+ API integrations available through AgentQL.

- "List all open pull requests in my GitHub repository myorg/myrepo"
- "Create a new page in my Notion workspace titled 'Q3 Planning'"
- "Show me all Jira issues assigned to me that are currently In Progress"
- "Search my Google Drive for documents containing 'quarterly report'"
- "Create a GitHub issue in myorg/myrepo with the title 'Fix login bug'"

Troubleshooting AgentQL

API calls return 401 Unauthorized

Ensure BEARER_TOKEN is set to a valid token for the specific API you are trying to access. Different services require different token types — a GitHub personal access token will not work for Notion and vice versa. Check the mcparmory registry documentation for the specific server's authentication requirements.

'uvx' command not found when Claude Desktop starts the server

Install uv with 'curl -LsSf https://astral.sh/uv/install.sh | sh'. If Claude Desktop still cannot find uvx, use the full path to the binary in the 'command' field of your config (e.g. '/Users/yourname/.local/bin/uvx').

Server starts but no tools appear in the client

Verify the server is running correctly by executing 'uvx mcparmory-agentql' in a terminal and checking for error output. Also confirm your MCP client version supports tool discovery — older clients may require a restart after adding a new server.

Frequently Asked Questions about AgentQL

What is AgentQL?

AgentQL is a Model Context Protocol (MCP) server that production-ready mcp servers for 70+ apis — github, google, notion, jira & more. generated from openapi specs, tested against live apis. works with claude desktop, cursor, codex & claude code. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install AgentQL?

Install via npm with the command: npx -y agentql-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with AgentQL?

AgentQL works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is AgentQL free to use?

Yes, AgentQL is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More APIs MCP Servers

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Quick Config Preview

{ "mcpServers": { "agentql": { "command": "npx", "args": ["-y", "agentql-mcp"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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