Everything about AI Function Calling (MCP), the keyword for Agentic AI

1. agentica

   1 24 704 9.8 TypeScript

   TypeScript AI Framework specialized AI Function Calling enhanced by compiler skills.

   

   Github Repository: https://github.com/wrtnlabs/agentica

2. SurveyJS

   surveyjs.io featured

   JavaScript Form Builder with No-Code UI & Built-In JSON Schema Editor. Add the SurveyJS white-label form builder to your JavaScript app (React/Angular/Vue3). Build complex JSON forms without coding. Fully customizable, works with any backend, perfect for data-heavy apps. Learn more.

   

3. samchon

   2 1 8 1.3

   

   We identified the reason: a lack of understanding about JSON schema and insufficient compiler-level support. Agent frameworks should strengthen fundamental computer science principles rather than focusing on fancy techniques.

4. typia

   3 82 5,156 9.7 TypeScript

   Super-fast/easy runtime validators and serializers via transformation

   

   We identified the reason: a lack of understanding about JSON schema and insufficient compiler-level support. Agent frameworks should strengthen fundamental computer science principles rather than focusing on fancy techniques.

5. Laravel

   4 418 80,941 8.8 Blade

   Laravel is a web application framework with expressive, elegant syntax. We’ve already laid the foundation for your next big idea — freeing you to create without sweating the small things.

   

   If you're planning to convert a backend server to an AI agent using function calling, avoid languages and frameworks that require developers to manually write JSON schemas, such as PHP Laravel and Java Spring RestDocs.

6. langchain

   5 71 107,967 10.0 Jupyter Notebook

   🦜🔗 Build context-aware reasoning applications

   

   But what about today? Has function calling conquered the world? No—rather than function calling, agent workflow-driven development has become dominant in the AI development ecosystem. langchain is perhaps the most representative framework in this workflow ecosystem.

7. openapi

   6 12 105 9.4 TypeScript

   OpenAPI definitions, converters and LLM function calling schema composer. (by samchon)

   

   @samchon/openapi IChatGptSchema.ts: OpenAI ChatGPT IClaudeSchema.ts: Anthropic Claude IDeepSeekSchema.ts: High-Flyer DeepSeek IGeminiSchema.ts: Google Gemini ILlamaSchema.ts: Meta Llama

8. shopping-backend

   7 12 73 9.5 TypeScript

   Shopping Mall Backend Server made by NestJS + Prisma for Education

   

   Below is demonstration code that converts a shopping mall's OpenAPI document to a function schema, plus a video showing it running as an actual AI agent. Simply by importing the swagger.json file from an existing shopping mall server, you can search for products through chat, purchase them, manage delivery, apply discount coupons, or process refunds.

9. InfluxDB

   www.influxdata.com featured

   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

10. nestia

    8 47 2,014 9.7 TypeScript

    NestJS Helper + AI Chatbot Development

    

    Instead, use compiler-driven (or reflection-based) OpenAPI document generators like Nestia or FastAPI. Then convert the compiler-generated OpenAPI to a specific AI function schema using the @samchon/openapi library, as shown below.

11. fastapi

    9 546 84,776 9.8 Python

    FastAPI framework, high performance, easy to learn, fast to code, ready for production

    

    Instead, use compiler-driven (or reflection-based) OpenAPI document generators like Nestia or FastAPI. Then convert the compiler-generated OpenAPI to a specific AI function schema using the @samchon/openapi library, as shown below.

12. autoview

    10 7 534 9.7 TypeScript

    Automatic view component renderer by AI agent

    

    Also, if you want to make specific visual components for each function, but you don't have enough time, consider using our another framework AutoView which can generate TypeScript frontend code from schema information.

Suggest a related project