Best tools for API Integration

Turn any MCP server, OpenAPI spec, or GraphQL endpoint into a CLI — at runtime, with zero codegen.

mcp2cli turns MCP servers, OpenAPI specs, and GraphQL endpoints into standard CLIs at runtime — no codegen, no schema bloat. Tools and arguments load only when requested via --list and --help flags, cutting up to 96–99% of the tokens that native MCP integrations waste on schema preloading. Works with Claude Code, Cursor, Codex, and any agent that can call shell commands, and ships with OAuth, stdio/HTTP/SSE transports, and a bake mode for reusable connections.

Vectorless, reasoning-based RAG that reads documents like a human expert — no vector DB, no chunking.

PageIndex is a vectorless, reasoning-based RAG system that builds hierarchical tree indexes from long documents and uses LLMs to navigate them like a human expert would. Instead of chunking text and comparing embeddings, it constructs a table-of-contents-style structure and reasons its way to the right sections — no vector database required. Available as an open-source Python package, cloud API, MCP server, and chat platform.

Official remote MCP server for Jira and Confluence

Atlassian's official remote MCP server connects Jira and Confluence to LLM clients, IDEs, and agent platforms over OAuth, so Claude, Cursor, and other MCP-aware tools can search issues, read pages, and post updates inside the same permission boundaries users already have. As a vendor-hosted reference implementation, it standardizes the Atlassian side of remote Model Context Protocol deployments.

One tool for intercepting, mocking, and replaying HTTP — acquired by BrowserStack

Requestly is an open-source HTTP interceptor, API client, and session replay tool that lets developers modify, mock, and debug network traffic without leaving the browser. Acquired by BrowserStack and trusted by 200,000+ developers, it bundles a Chrome extension, a full API client, mock servers, and shareable session captures into one free-plus-commercial product.

Rust-native multi-agent orchestration for production

GraphBit is a Rust-native, multi-agent orchestration framework built for production. It targets the gap between Python-first frameworks like LangGraph and the operational expectations of enterprise systems — predictable memory, low latency, deterministic concurrency, and the ability to embed an agent runtime in services that already run Rust without dragging in a Python interpreter.

Headless browser cloud built for AI agents

Browserbase is cloud infrastructure that runs headless Chromium browsers on demand for AI agents and automation workflows, exposing Playwright, Puppeteer, and Selenium endpoints with built-in session replay, residential proxies, CAPTCHA solving, and stealth fingerprints. It also hosts Stagehand and a Model Gateway, letting teams build browser-using agents without maintaining their own fleet of Kubernetes-managed Chromium instances.

Wafer-scale inference at thousands of tokens per second

Cerebras Inference serves open-weight LLMs like Llama, Qwen, and GPT-OSS on wafer-scale CS-3 chips through an OpenAI-compatible API, benchmarking between 1,800 and 2,600 output tokens per second on Llama 3.1 8B and several hundred on 70B models. A free tier offers one million tokens per day with no credit card, while paid pay-per-token pricing starts at $0.04 per million tokens for the smaller Llama models.

Build modular, scalable LLM applications in Rust

Open-source Rust library for building scalable, modular, and ergonomic LLM-powered applications. Rig unifies 20+ model providers (OpenAI, Anthropic, Mistral, DeepSeek, Ollama, and more) and 10+ vector stores behind one trait-based interface, supports completion and embedding workflows, multi-turn streaming, and transcription/audio/image generation, with full GenAI Semantic Convention compatibility and WASM-ready core library — production agentic infra for Rust teams.

Context engineering platform for AI agents with temporal knowledge graphs

Zep is a context engineering platform that assembles relationship-aware context for AI agents from conversations, business data, documents, and events. It maintains a temporal knowledge graph that automatically extracts entities and relationships, tracking how context evolves over time. Zep delivers formatted context blocks optimized for LLMs with sub-200ms latency, integrating with LangChain, LlamaIndex, AutoGen, and Google ADK through Python, TypeScript, and Go SDKs.

Agentic IM chatbot platform with multi-platform LLM integration

AstrBot is an open-source agentic chatbot infrastructure that connects multiple instant messaging platforms including Telegram, Discord, Slack, WeChat, QQ, Feishu, and DingTalk to AI language models. It supports multi-provider LLM integration, MCP protocol, knowledge bases, persona management, multimodal input, and a plugin ecosystem with over 1,000 community extensions. Features include a web management UI, sandbox code execution, and auto-context compression for efficient conversations.

Customer engagement infrastructure for developers

Knock is flexible notification and customer engagement infrastructure built for developers and AI agents. Send messages across email, SMS, push, chat, and in-app channels from a single API. Features AI-native journey building with single-prompt workflows, advanced segmentation with dynamic attributes, in-app messaging with custom components, data unification across warehouse and CDP, and version control with rollbacks. Delivers hundreds of millions of messages monthly with 99.99% uptime.

Open-source multi-protocol API client

Firecamp is an open-source API DevTool supporting REST, GraphQL, WebSocket, and Socket.IO protocols as a lightweight alternative to Postman. It provides IntelliSense, team collaboration with shared workspaces, and seamless import from OpenAPI, Insomnia, AsyncAPI, and HAR formats. Each protocol gets a dedicated testing playground with response metrics including time, size, and status codes.

Unified LLM API gateway and proxy hub

New API is an open-source multi-tenant AI gateway that aggregates and distributes LLM API requests across providers like OpenAI, Claude, and Gemini through a unified proxy interface. It cross-converts requests into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats, with built-in channel management, quota control, token-based authentication, and billing capabilities. Deploy via Docker with SQLite or MySQL for centralized model management.

Versatile microservice framework for any protocol

Armeria is an open-source microservice framework from the creator of Netty at LINE Corporation that supports gRPC, Thrift, REST, and GraphQL on a single server and port. It provides built-in decorators for metrics, distributed tracing, load balancing, authentication, rate limiting, circuit breakers, and automatic retries. The framework integrates seamlessly with Spring Boot, Dropwizard, and Reactive Streams while serving automated API documentation with interactive request testing.

Open-source MCP server for database access

MCP Toolbox for Databases is an open-source MCP server by Google that connects AI agents to databases through a managed control plane. It handles connection pooling, authentication, and tool distribution, letting developers integrate database tools in under 10 lines of code. Supports PostgreSQL, MySQL, BigQuery, AlloyDB, Snowflake, MongoDB, Redis, ClickHouse, Neo4j, and more with ready-to-use toolsets for Claude Code, Gemini CLI, and other MCP clients.

Smart LLM router that cuts inference costs up to 70%

Manifest is an open-source smart model router that intelligently routes LLM requests to the cheapest capable model, reducing inference costs by up to 70% without sacrificing output quality. It uses a 23-dimension scoring algorithm to evaluate 300+ models across providers including OpenAI, Anthropic, Google, and DeepSeek, with automatic fallbacks and budget controls. Manifest can be deployed as a cloud service, local plugin, or self-hosted Docker container with transparent routing logic.

Serverless AI inference for generative media at scale

fal.ai is a serverless AI inference platform providing ultra-low-latency APIs for generating images, videos, audio, and 3D models. With 600+ production-ready models and native Python and JavaScript SDKs, it eliminates GPU management while delivering 30-50% lower costs than alternatives. Automatic scaling with no cold starts and real-time streaming support make it ideal for interactive AI applications.

Open-source IAM and SSO platform by Casbin

Casdoor is an open-source Identity and Access Management platform built by the Casbin community in Go and React. Supports OAuth 2.0, OIDC, SAML, CAS, LDAP, SCIM, WebAuthn, and MFA with a comprehensive web-based admin UI. Provides multi-tenant organization management, flexible RBAC and ABAC access control via Casbin models, and integrations with Google Workspace and Azure AD. Offers self-hosted deployment with optional managed cloud plans.

Code management platform for AI coding agents

Entire is an AI-native code management platform designed for teams managing fleets of AI coding agents. Founded by former GitHub CEO Thomas Dohmke, it records the reasoning and instructions behind AI-generated code alongside the code itself, making agent-written software easier to review, audit, and maintain. Launches with Checkpoints, an open-source CLI tool that logs prompts and token usage for Claude Code and Google Gemini CLI, with more agent integrations planned.

Database CI/CD and DevSecOps platform at scale

Bytebase is an open-source database DevSecOps platform that automates schema migrations, enforces SQL standards across 200+ lint rules, and provides fine-grained access control with dynamic data masking. Teams use it for GitOps-based database change management, SQL review, and compliance across PostgreSQL, MySQL, MongoDB, Snowflake, Oracle, SQL Server, and 20+ other databases. Available as self-hosted Docker or Kubernetes deployment, or as a managed cloud service.

Full-stack framework for building AI copilots with generative UI

CopilotKit is an open-source full-stack framework for building AI-native applications with generative user interfaces. It provides React and Angular SDKs that enable agents to dynamically generate and render UI components, synchronize state between frontend and backend in real time, and implement human-in-the-loop workflows. Supports integration with LangChain, LangGraph, CrewAI and protocols including AG-UI, MCP, and A2A for standardized agent interaction.

Create videos programmatically with React

Remotion is a React framework that enables developers to create videos programmatically using familiar web technologies. Build videos as React components, leveraging CSS, Canvas, SVG, and WebGL for rendering. The framework includes Remotion Studio for browser-based preview with timeline scrubbing and fast refresh. Render locally, on servers, or via AWS Lambda for scalable video production. Ideal for automating social media content, data visualizations, and personalized marketing campaigns.

Container-native local AI model serving with Podman

RamaLama is an open-source tool that containerizes AI model inference using Podman or Docker, eliminating host system configuration complexity. It auto-detects GPUs (NVIDIA, AMD, Intel, Apple Silicon), pulls models from HuggingFace, Ollama, and OCI registries, and runs them in isolated rootless containers with read-only mounts and network isolation. Developed under the Containers project (Red Hat ecosystem), it brings familiar container workflows to local LLM serving.

OAuth 2.1 provider framework for Cloudflare Workers

workers-oauth-provider is Cloudflare's official OAuth provider library for Workers. It implements the provider side of the OAuth 2.1 protocol with PKCE support and RFC 8414 compliance. Handles token management automatically via Cloudflare KV storage. Gives fullstack teams a path to implement OAuth at the edge without heavy auth servers. TypeScript-native with npm package available.