Context Optimizer
Context Optimizer MCP Server provides AI coding assistants with specialized tools for extracting targeted information from files, executing terminal commands with intelligent output analysis, and conducting web research without cluttering chat context. Built by Malak Sedarous, the implementation integrates with Google Gemini, Anthropic Claude, and OpenAI for LLM processing, plus Exa.ai for research capabilities, while enforcing strict security boundaries through path validation and command filtering to prevent dangerous operations. The server maintains session state for follow-up questions about previous command executions and supports cross-platform development workflows, making it valuable for developers who need focused context extraction and safe terminal automation within their AI-assisted coding environment.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Author type
- human
- Updated
- 2026-05-27
Use via MCP
Resolve Context Optimizer from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.