Skip to content

Github · GitHub Repository Radar

cporter202 agentic-ai-apis

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.

Stars

575

Active Stable

Forks

137

Watchers: 488

Repository Radar Score

43 / 100

Growth

7d
+0
30d
+0
%
0.0%

Not enough metric snapshots yet to chart growth for this repository.

Last observed: 4 days ago

Score breakdown

  • popularity 50
  • growth 0
  • activity 75
  • freshness 100
  • community 34

Need help integrating this stack?

Our team builds with modern open-source stacks. Tell us what you are shipping.

Get a quote →

At A Glance

The ultimate collection of APIs for building autonomous AI agents - 2,543 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 2,543
Categories 3
Last Updated 2026-09-02
Focus Agentic AI infrastructure

Agents

719 APIs

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

Open Agents Directory

AI Models

1,371 APIs

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

Open AI Models Directory

MCP Servers

453 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.
  • API links keep the existing affiliate tracking from the upstream source data.

Created: Apr 6, 2026

Last push: Sep 2, 2026

Default branch: main

Languages

Share of the codebase by language, based on repository metadata from the host.

  • JavaScript 100.0%

Repository Radar analysis

Deterministic insights derived from public metadata and our observations — not personal testing or reviews.

Why this repository is interesting

  • Maintained recently (last push 2 weeks ago).

Who should use it

  • Developers working primarily with JavaScript
  • Teams exploring AI tooling, agents, or ML infrastructure
  • Backend engineers shipping APIs and product backends

Potential use cases

  • Reference or evaluate JavaScript open-source approaches in this domain
  • Prototype AI/agent workflows or study reference architectures

Strengths

  • Recent repository activity
  • README present in our index

Limitations / considerations

  • License not recorded in our index — confirm on GitHub before production use

What to watch

  • Re-check last push, issues, and releases on GitHub before production adoption

Strong signals: Active maintenance

Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.

Ready to ship something that compounds?

Share your roadmap. We’ll come back with scope options, timeline ranges, and who from Shriram IT Ventures should be in the room.

Popular with product teams