pulsemcp Safe content atomic mcp-remote

Local File Reader

MCP Local File Reader provides a simple server for reading local files, making them accessible to AI assistants through the Model Context Protocol. Built with TypeScript and the MCP SDK, it allows AI tools to access file content from the local filesystem, enabling workflows that require reading text files without leaving the conversation interface. The implementation is designed to be lightweight and easy to use, making it ideal for developers who need to give their AI assistants access to local file data during interactions.

Cognium trust score
50%
Tier
Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
file-system
Source
PulseMCP
Author type
human
Updated
2026-04-25
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Use via MCP

MCP

Resolve Local File Reader 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
Swap --scope user for --scope project to commit it to .mcp.json.

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