Schema | observe-mcp

observe-mcp

Describes the environment variables required to run the server.

Name	Required	Description
`OBSERVE_TOKEN`	Yes	Observe bearer token. Generate at: Observe UI → Settings → API Tokens
`OBSERVE_CUSTOMER_ID`	Yes	Your Observe tenant ID (numeric). Found in your Observe URL: https://<id>.observeinc.com
`OBSERVE_DEFAULT_DATASET`	No	Default dataset path used when dataset_path is not passed

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`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
observe_queryB	Run a raw OPAL pipeline query against Observe. Returns up to rowCount rows.
search_service_logsB	Search Observe logs for a specific service. Convenience wrapper around OPAL.
search_entity_logsA	Search Observe logs filtered by a specific field value — useful for correlating logs to a particular entity such as a user ID, request ID, device ID, or any other identifier.
get_dataset_schemaA	Return cached field names, example values, and suggested OPAL filter snippets for a dataset. Instant — no API call. Call this before writing any OPAL query. Generate the cache by running the discover script externally.
inspect_datasetA	Sample a dataset to discover available field names and example values. Call this before writing OPAL queries so you know exactly which fields to filter on.
list_datasetsA	List all datasets in Observe, optionally filtered by name keyword. Use this to discover dataset paths before running queries.
observe_docsA	Show OPAL query language reference and examples for writing Observe queries. Call this before writing OPAL pipelines.

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/staffdill/observe-mcp'

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