API Tools
This MCP server provides AI assistants with dynamic API integration capabilities by converting JSON configuration files into callable tools, built by Adam Shannag using Go with support for both STDIO and SSE transports. The implementation features flexible request handling with path/query parameter substitution, environment variable templating for secure credential management, comprehensive authentication middleware for SSE deployments, and automatic tool registration from declarative JSON schemas that define endpoints, parameters, and request structures. Built with configurable HTTP clients, structured logging, graceful shutdown handling, and extensive test coverage, it serves developers needing to rapidly expose REST APIs to AI assistants without custom coding, teams requiring secure API access through conversational interfaces, and organizations wanting to bridge existing web services with AI workflows through simple configuration files rather than building dedicated MCP servers for each API integration.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/adamshannag/api-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve API Tools 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.