InfluxDB
InfluxDB MCP Server provides a bridge between AI assistants and InfluxDB time-series databases, enabling operations like querying measurements, writing data, and managing buckets and organizations. Developed by Sam Coward, this implementation exposes InfluxDB's functionality through four resources and four tools, with additional prompts for Flux query examples and Line Protocol formatting guidance. The server authenticates via environment variables and includes comprehensive error handling and logging for reliability. It's particularly valuable for developers and data analysts who need to interact with time-series data through AI assistants for monitoring, visualization, and data management tasks.
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
- database
- Source
- PulseMCP
- Repository
- github.com/idoru/influxdb-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve InfluxDB 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.