TypeScript-first AI integration platform unifying 30+ providers and 100+ models with streaming, multi-provider failover, and enterprise features.
Key Features: Unified API for 30+ AI providers and 100+ models Streaming support for tokens, tool calls, memory, voice, and documents Multi-provider failover and cost-optimized routing MCP server providing semantic search and progressive loading of Claude Agent Skills for any MCP-compatible AI assistant.
Key Features: Semantic search with vector embeddings Progressive disclosure loading of skill data Multi-source skill loading from GitHub and local directories Run SQL queries on files, databases, and 40+ apps locally with privacy and MySQL-compatible server support.
Key Features: Query 40+ apps and data sources with SQL Local-first and privacy-focused design Plugin system to extend integrations TypeScript/Node.js multi-agent orchestrator with race-condition-safe shared blackboard and governance tools.
Key Features: Atomic propose-validate-commit blackboard to avoid race conditions FSM governance and permission gating for agent actions Per-agent token budgeting and HMAC/Ed25519 audit trails MCP server for discovery, chat, registration, and workflows on the Hashgraph Registry Broker network.
Key Features: Supports stdio and HTTP transports including streamable HTTP and legacy SSE Provides tools for discovery, chat, registration, and workflow management Enforces security with origin validation and bearer token authentication for non-local hosts Local-first knowledge graph that watches project files, extracts entities via LLMs, and enables natural language queries with a web dashboard and CLI.
Key Features: Watches project files (md, ts, js, py, json, yaml) for changes Extracts entities and infers relationships using LLMs Detects contradictions and duplicates automatically Automatically convert any OpenAPI v3 REST API into a fully compatible MCP server for AI agents.
Key Features: Automatic MCP server generation from OpenAPI v3 schemas Complete mapping of all API endpoints and features Support for authentication header customization Agent-to-agent referral network enabling AI agents to discover, recommend, and refer users with a credit and trust system.
Key Features: Agent registration with initial credits Search agents by capabilities and relevance scoring Recommendation of non-overlapping complementary agents Plugin-based MCP server and Chrome extension enabling AI agents to access web apps via your authenticated browser session.
Key Features: 100+ plugins covering ~2,000 tools including Slack, Discord, GitHub, Jira, Notion, Figma, AWS, Stri… Built-in browser tools: screenshots, clicking, typing, network capture Plugin SDK and CLI commands to scaffold, install, and manage plugins Aggregates multiple MCP servers into one unified runtime with CLI and proxy modes for AI agents.
Key Features: Aggregates multiple MCP servers into one runtime CLI mode with instructions, inspect, and run commands Supports static and template MCP servers Self-hosted MCP gateway to unify and manage multiple MCP servers behind a single endpoint for teams and developers.
Key Features: Single MCP endpoint for multiple MCP servers Centralized registration and management of MCP servers Unified discovery of tools, prompts, and resources Unified pay-per-call API serving 180+ data and AI tools with no API keys, supporting blockchain payments and push watchers.
Key Features: 180+ unified API endpoints across diverse domains Pay-per-call pricing in USDC via blockchain settlement Free hourly trial calls per endpoint without keys 
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