Dev.to
This Dev.to MCP server, developed as part of the Model Context Protocol ecosystem, enables AI assistants to interact with the Dev.to platform API. Built with TypeScript and Node.js, it provides a bridge between MCP clients and Dev.to's services, allowing operations like article publishing, content retrieval, and user interactions. The implementation leverages Axios for HTTP requests and supports environment-based configuration. By abstracting Dev.to API operations into MCP-compatible endpoints, it allows AI systems to easily integrate with the Dev.to community without directly handling API complexities. This server is particularly useful for scenarios requiring automated content publishing, community engagement analysis, or AI-assisted blog post creation on the Dev.to platform.
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
- api-integration
- Source
- PulseMCP
- Repository
- github.com/siddhant-k-code/mcp-devto-server
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Dev.to 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.