Grep
MCP-Grep provides a server implementation that exposes the system grep binary's functionality through the Model Context Protocol, allowing AI assistants to search for patterns in files using regular expressions. Developed by Ernie Brodeur, it offers both a resource endpoint for retrieving grep binary information and a tool for performing searches with support for common grep options like case-insensitive matching, context lines, recursive directory searching, and fixed string matching. The implementation uses Python's subprocess module to execute grep commands on the host system, making it particularly valuable for AI assistants that need to analyze text files or codebases without leaving their conversation interface.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/erniebrodeur/mcp-grep
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Grep 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.