File Finder
The MCP File Finder Server provides a powerful search capability for AI assistants to locate files within a user's system. Built with Python, it indexes and returns detailed file information including name, path, size, and creation date as demonstrated in the search_results.json output. The server can be configured through JSON files to specify execution parameters and permissions, making it adaptable to different environments. This implementation enables AI agents to efficiently navigate file systems, locate specific file types, and access relevant documents without requiring direct filesystem access, making it particularly valuable for document retrieval, code analysis, and content management workflows.
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
- Repository
- github.com/romanshablio/mcp_server
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve File Finder 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.