Current collected state Current
Observed since 20 Oct, 21:42 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
MCP Server that solves context window overload — smart tool pruning, relevance scoring, and budget tracking for AI agents
Solves the #1 problem with MCP servers: context window overload.
When you have 10+ MCP servers installed, their tool schemas can consume 40-50% of your context window — leaving less room for actual conversation. This server fixes that.
pip install agent-context-optimizer-mcp
{
"mcpServers": {
"optimizer": {
"command": "uvx",
"args": ["agent-context-optimizer-mcp"]
}
}
}
| Tool | Description |
|---|---|
analyze_task | Analyze a task and recommend optimal server combination |
estimate_context_usage | Estimate context window consumption for servers |
get_server_catalog | Full catalog of known MCP servers with categories |
optimize_server_set | Optimize currently loaded servers for a task |
suggest_minimal_set | Recommend the absolute minimum servers needed |
"I need to check the safety of a Solana token"
→ Recommends: solana (required)
→ Saves: 85% context tokens vs loading all servers
MIT
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.1.0 | 20 Mar 2026 | 3 |
This describes our collected data; it is not a security assessment.
Shared repository data · GitHub
Observed since 20 Oct, 21:42 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:18ea30ec12af2151840e55e0b3f8ca626a392e4c8f039c4568781cbc28de76fc