Word Counter
This MCP server, developed by Kenneth, enables AI assistants to perform word and character counting on text documents. It provides tools for analyzing files, counting words, and calculating character counts with and without spaces. The server implements efficient text processing algorithms and file handling using Node.js, offering a straightforward interface for AI systems to extract quantitative information from textual content. By connecting AI capabilities with fundamental text analysis, this implementation empowers AI assistants to perform tasks like document summarization, content length verification, or writing style assessment. It is particularly useful for applications requiring text metrics, content creation assistance, or any scenario where an AI system needs to evaluate and reason about the structure and composition of written material.
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
- monitoring
- Source
- PulseMCP
- Repository
- github.com/qpd-v/mcp-wordcounter
- Author type
- human
- Updated
- 2026-04-29
Use via MCP
Resolve Word Counter 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.