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 Turn any OpenAPI/Swagger spec into MCP tools. Zero config, zero code.
MCP server giving AI coding agents version-pinned API context from your OpenAPI specs.
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 Builds exact symbol-level dependency graphs and provides 15 MCP tools for codebase analysis across 17 languages.
Key Features: Deterministic dependency graph construction with tree-sitter Supports 17 programming languages including TS, JS, Python, Go, Rust, C Health scoring and dead code detection API governance server that detects breaking changes in OpenAPI specs and enforces configurable policy rules with signed attestations.
Key Features: Diffs two OpenAPI/Swagger spec versions Detects 23 change types including 10 breaking changes Supports OpenAPI 3.0, 3.1, and Swagger 2.0 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 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 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 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 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 