File Control
Enhanced Directory Context MCP server that combines comprehensive filesystem analysis with full file editing capabilities, providing both read-only context extraction and write operations for AI-assisted development workflows. The implementation offers advanced directory traversal with filtering, content search, Git integration, and project analysis alongside complete CRUD operations for files and directories including atomic batch operations with rollback support. Built for developers who need AI assistants to both understand existing codebases through intelligent context extraction and actively modify files through search-and-replace updates, file creation, and directory management, making it valuable for code refactoring, project scaffolding, and automated development tasks where both analysis and modification are required.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- version-control
- Source
- PulseMCP
- Repository
- github.com/pwalagov/file-control-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve File Control 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.