Skillget

agentic-ai-apis

mcp
Security Audit
Fail
Health Warn
  • No license — Repository has no license file
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 8 GitHub stars
Code Fail
  • fs module — File system access in settings/fetch_apify_actors.js
  • network request — Outbound network request in settings/fetch_apify_actors.js
  • fs.rmSync — Destructive file system operation in settings/generate_readme_clean.js
  • fs module — File system access in settings/generate_readme_clean.js
Permissions Pass
  • Permissions — No dangerous permissions requested
Purpose
This project serves as a curated directory and collection of over 2,000 APIs, AI models, and MCP servers intended to help developers find infrastructure components for building autonomous AI agents.

Security Assessment
The overall security risk is High. While the tool does not appear to execute raw shell commands or contain hardcoded secrets, it features highly concerning file system operations. Specifically, the codebase includes a destructive file system operation (`fs.rmSync`) capable of permanently deleting files on the host machine. Additionally, the settings scripts make outbound network requests and interact with the local file system. Running this tool or executing its setup scripts poses a direct threat to your local data integrity.

Quality Assessment
The project is relatively new and currently has very low community visibility and trust, evidenced by only 8 GitHub stars. Although the repository is highly active with recent updates, it completely lacks an open-source license. This means that technically, all rights are reserved by the author, and you do not have legal permission to use, modify, or distribute the code.

Verdict
Not recommended — the presence of destructive file deletion scripts and the complete absence of a licensing framework make this too risky for production use.
SUMMARY

The ultimate collection of APIs for building autonomous AI agents — 2,036 production-ready APIs across Agents, AI Models, and MCP Servers. Stop wasting weeks building infrastructure. Plug these in and ship your agent today.

README.md

At A Glance

The ultimate collection of APIs for building autonomous AI agents - 2,036 production-ready APIs across Agents, AI Models, and MCP Servers.

This repository is designed to feel like a launchpad, not a junk drawer. It is tightly scoped around the API layers that matter most when you are building autonomous systems, copilots, tool-using assistants, and MCP-native workflows.

Metric Count
Total APIs 2,036
Categories 3
Last Updated 2026-04-06
Focus Agentic AI infrastructure

Agents

697 APIs

Execution layers, orchestration, autonomous task handling, and agent-style workflows.

Open Agents Directory

AI Models

1,208 APIs

Generation, reasoning, extraction, transformation, and model-powered product building blocks.

Open AI Models Directory

MCP Servers

131 APIs

Model Context Protocol integrations that connect assistants to real tools, systems, and data.

Open MCP Servers Directory

Start Here

  1. Pick the layer you need first: Agents, AI Models, or MCP Servers.
  2. Open that category README and scan the API names and descriptions.
  3. Click through to the provider page for implementation details, pricing, and docs.
  4. Build your shortlist fast instead of wasting hours digging through irrelevant categories.

Explore The Stack

Agents

Best for builders who need APIs that feel closer to execution and autonomy:

  • agent workflows
  • orchestration layers
  • autonomous task completion
  • assistant behavior and action loops

Browse Agents APIs

AI Models

Best for builders who need intelligence and generation as a reusable service layer:

  • reasoning and inference
  • summarization and extraction
  • content generation
  • analysis and transformation

Browse AI Models APIs

MCP Servers

Best for builders who want agents to use tools through structured interfaces:

  • MCP-native tool integrations
  • external system connectivity
  • docs, search, analytics, scheduling, and developer workflows
  • assistants that need real-world actions

Browse MCP Servers APIs

Built For

Autonomous Assistants AI Copilots MCP Toolchains Internal Automation
Research Agents Workflow Engines Tool-Using LLM Apps Production AI Features

Why This Repo Wins

  • It is opinionated. This repo is not trying to be every API category on earth.
  • It is agent-native. Everything revolves around the stack needed for autonomous AI systems.
  • It is faster to use. The clutter is gone, so discovery is dramatically easier.
  • It is better positioned. The repo name, README, and categories now all tell the same story.

Scope Guarantee

This repository intentionally includes only:

  • Agents for execution, orchestration, planning, and autonomous workflows
  • AI Models for inference, generation, analysis, and reasoning
  • MCP Servers for exposing tools and systems to AI assistants through MCP

Anything outside those three categories has been removed from the tracked repository structure.

Star History

Star History Chart

Maintenance Notes

  • A GitHub Actions workflow now syncs the Apify catalog daily and commits only when upstream data actually changes.
  • The generation scripts in settings are configured to rebuild only the three tracked categories above.
  • The visual README layout is now part of the repo's default presentation, not just a temporary pass.

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