"How to roast user activity on Instagram" matching MCP servers:

A read-only MCP server that exposes local coding-agent session logs as three tools for introspection of recent work, debugging tool failures, and tracking token usage and estimated cost without parsing log files.

Tracks a user's activity by trace ID from application logs stored in ClickHouse. Provides tools for log timeline, trace summaries, and search across services.

A persistent activity log server that allows MCP-compatible AI assistants to log events, decisions, and system logs over HTTP, with a built-in web dashboard for monitoring and searching logs.

MCP server that diagnoses ML model regressions by correlating drift reports, eval runs, and deploy logs, providing evidence-cited incident reports through a set of investigation tools.

Fetches Langfuse observability traces directly into a VS Code coding agent's context, enabling querying and viewing trace data through natural language.

MCP server for On-Call Health burnout analysis. Connects AI assistants to your on-call data for workload insights.

Enables interaction with Jira Service Management Operations alerts and on-call schedules, including searching alerts, reading notes and activity logs, acknowledging, closing, annotating, adding responders, and querying current and next on-call rotations.

Every agent action is recorded in a SHA-256 hash chain. Prove to clients that your agent did what it said it did. Record, query, verify, and export agent activity.

Exposes the Tenable Identity Exposure (TIE) REST API as tools for LLM clients, enabling queries on security profiles, activity timelines, AD objects, and more.

Enterprise AI operator evaluation MCP server. 27 tools (22 read + 5 write) for measuring, benchmarking, diagnosing, and interv ening on how human operators use AI tools across 5 canonical metrics.

Enables AI-powered analytics for OpenReplay user sessions through natural language queries. Supports session search, user journey analysis, error tracking, performance metrics, and funnel analysis to understand user behavior patterns.

Enables users to log AI tool activity without conversation text and contribute back only user-approved, small-cell-suppressed counts through a local MCP interface.

Provides persistent shared memory and multi-agent coordination for MCP-compatible coding agents on Zerops, with a live Observatory dashboard for monitoring activity.

Enables MCP clients to interact with a fictional bank through remote tools, including mock banking operations, OAuth 2.1 authentication, and a live X-ray dashboard for observing session activity.

Enables AI agents to read incidents, alerts, on-call schedules, teams, severities and API user info, and — on explicit request — declare, update and resolve incidents, manage alerts, and create or update teams through the Rootly REST API. It is stateless and multi-tenant, taking the API token as a per-request HTTP header that is never stored.

Enables read-only access to cookieless web analytics aggregates such as sites, visitors, pages, sources, live activity, funnels, and uptime monitoring through OAuth 2.1-secured Streamable HTTP tools.

Enables agents and applications to record, query, verify, and receive hash-chained event provenance over stdio, supporting self-metering and independent audit of autonomous system activity.

Enables governed, read-only investigations of Amazon Athena access logs by searching exact user, IP, or correlation indicators and summarizing activity by correlation ID, with parameterized queries, validation, and result limits.

Analyzes how search engines and AI systems discover, crawl, cite, and convert traffic via CLI and MCP tools.

Gives AI coding agents eyes into running applications by recording browser activity and providing session investigation tools for debugging.