The Problem
Multi-agent setups end up with 8-15 MCP servers running per agent. An r/opencodeCLI thread documented 35 npm processes and 4 GB of RAM serving the same fleet across pi, VS Code, and opencode. Schema-load tokens cost 50K+ per session before any work happens.
The Scavio Solution
Consolidate by replacing search-shaped MCP servers (Tavily MCP, Brave MCP, Reddit MCP, YouTube MCP) with one Scavio MCP at mcp.scavio.dev/mcp. For non-search MCPs, add an MCP gateway that proxies upstream servers as a single daemon. Process count drops to 1, schema tokens drop 90%+.
Before
35 npm processes, 4 GB RAM, 50K schema tokens per session, $0.50 schema overhead per turn.
After
1 daemon, 200 MB RAM, under 5K schema tokens per session, near-zero schema overhead.
Who It Is For
Engineers running 5+ MCP servers, multi-agent setups (Claude + Cursor + opencode), token-cost-conscious teams.
Key Benefits
- Process count drops 30+ to 1
- RAM drops ~95%
- Schema tokens drop ~90%
- One credential per surface
- Same agent code, fewer attached servers
Python Example
# Configuration-driven; no Python sample. See JSON config.
# claude_desktop_config.json:
# { "mcpServers": { "scavio": { "url": "https://mcp.scavio.dev/mcp", "headers": { "x-api-key": "..." } } } }JavaScript Example
// See JSON config. Same shape works for Claude, Cursor, opencode, Windsurf.Platforms Used
Web search with knowledge graph, PAA, and AI overviews
Community, posts & threaded comments from any subreddit
YouTube
Video search with transcripts and metadata