Schema | Tideways MCP Server

Tideways MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
`LOG_LEVEL`	No	Log level (debug, info, warn, error)	info
`TIDEWAYS_ORG`	Yes	Tideways organization name
`TIDEWAYS_TOKEN`	Yes	Tideways API access token
`TIDEWAYS_PROJECT`	Yes	Tideways project name
`TIDEWAYS_BASE_URL`	No	Tideways API base URL	https://app.tideways.io/apps/api
`TIDEWAYS_RATE_LIMIT`	No	API requests per hour — match to your plan (Team/Pro: 2500, Standard: 1000, Basic: 250)	2500
`TIDEWAYS_MAX_RETRIES`	No	Maximum API retry attempts	3
`TIDEWAYS_REQUEST_TIMEOUT`	No	API request timeout (ms)	30000

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
get_performance_metricsA	Retrieve aggregate performance metrics and system-wide statistics in JSON format. Use for monitoring overall application health, trends, and high-level performance overview (use get_traces for detailed individual request analysis).
get_performance_summaryB	Retrieve time-series performance summary data in 15-minute intervals in JSON format for trend analysis and historical comparison. Returns data aggregated in 15-minute time buckets showing requests, errors, and 95th percentile response times.
get_issuesA	Retrieve and analyze recent errors, exceptions, and performance issues in JSON format for actionable insights
get_historical_dataA	Retrieve historical performance data in JSON format for a specific date with configurable granularity. Analyze daily, weekly, or monthly performance trends, transaction reports, and time-series metrics.
get_tracesA	Analyze individual trace samples in JSON format for detailed bottleneck identification and performance debugging. Use for investigating specific slow requests, not system-wide statistics (use get_performance_metrics for aggregate data).

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/5hahiL/tideways-mcp-server'

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