Skillwire MCP Gateway
Universal Model Context Protocol (MCP) Standard v1

Universal MCP Gateway and Skill Router for Autonomous AI Agents

Skillwire enables AI agents (Claude, Cursor, OpenAI, Gemini) to discover, orchestrate, and execute 280+ external tools and APIs with sub-50ms discovery latency, schema-aware response distillation, and zero-trust credential isolation.

Get Started with MCP Explore Architecture

Core Platform Capabilities

Sub-50ms Hybrid Routing

Combines BM25 keyword matching and dense vector embeddings with Reciprocal Rank Fusion (RRF) for millisecond tool discovery across 280+ APIs.

In-Memory Response Distillation

Prunes verbose upstream JSON payloads by up to 80% using schema-guided field extraction, slashing LLM token cost and preventing context window overflow.

Zero-Trust BYOK Vault

Hardware-isolated AES-256-GCM credential encryption. Secrets are injected strictly downstream into target API calls and never reflected into LLM prompts.

Standard MCP Streaming

Native Model Context Protocol (MCP) Server-Sent Events (SSE) and Stdio transport support for instant pairing with Cursor, Anthropic Claude Desktop, and LangChain.

Developer Quickstart

Connect your MCP client to Skillwire using our SSE endpoint:

{
  "mcpServers": {
    "skillwire": {
      "url": "https://skillwire.dev/sse",
      "headers": {
        "Authorization": "Bearer sw_live_YOUR_KEY"
      }
    }
  }
}

Detailed setup guides for Cursor, Claude Desktop, Windsurf, and Python SDK are available in the Skillwire Documentation.

Frequently Asked Questions

What is an MCP Gateway?

An MCP Gateway serves as an intelligent orchestration layer between AI models (Anthropic Claude, Cursor, OpenAI, Antigravity) and external tools or APIs. Instead of stuffing hundreds of OpenAPI schemas into prompts, Skillwire uses sub-50ms hybrid semantic search to discover and execute only the tools your agent needs on demand.

How does in-memory response distillation reduce LLM token costs?

Typical third-party APIs return verbose JSON payloads ranging from 15 KB to over 100 KB. Skillwire distills responses into high-density Markdown facts or structured JSON, cutting prompt token consumption by up to 94% while preventing context window overflow.

How does Skillwire protect third-party API credentials?

Skillwire features a Zero-Trust BYOK credential vault encrypted with AES-256-GCM. Credentials are bound to cryptographic domain scopes (e.g. *.stripe.com) and injected strictly downstream at invocation time. Plaintext keys are never logged and never exposed to the LLM or chat history.

Which AI agents and IDEs support Skillwire out of the box?

Skillwire supports any client conforming to the Model Context Protocol standard, including Anthropic Claude Desktop, Cursor, Google Antigravity, Windsurf, OpenCode, and frameworks like LangChain and AutoGen over Streamable HTTP (/mcp) and SSE (/sse).