AgentLens

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npx agentmarket install connector/agentkitai-agentlens

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What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools

12 read · 7 write · 0 delete · 4 not yet classified

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Node.js package

Tools (23)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• agentlens_agents

  List, inspect, and manage AgentLens agents. **When to use:** To see which agents are registered, check agent details and error rates, or unpause a paused agent. **Actions:** - `list`: List all agents with error rates - `detail`: Get agent detail by ID - `unpause`: Clear paused state for an agent **Example:** agentlens_agents({ action: "list" })

• agentlens_alerts

  Manage alert rules and view alert history. **When to use:** To create alerting rules for error rates, costs, or latency thresholds; manage existing rules; or review past alert triggers. **Actions:** - `list`: List all alert rules - `create`: Create a new alert rule - `update`: Update an existing alert rule - `delete`: Delete an alert rule - `history`: View recent alert triggers **Example:** agentlens_alerts({ action: "create", name: "High error rate", condition: "error_rate_above", threshold: 0.1, windowMinutes: 60 })

• agentlens_analytics

  Query operational analytics: metrics, costs, agent performance, and tool usage. **When to use:** To understand system performance trends, cost breakdowns, agent activity, or tool usage patterns over time. **Actions:** - `metrics`: Get bucketed metrics with optional range/date filters - `costs`: Get cost breakdown - `agents`: Get per-agent metrics - `tools`: Get tool usage statistics **Example:** agentlens_analytics({ action: "metrics", range: "24h" })

• agentlens_benchmark

  Manage A/B benchmarks: create, list, check status, get results, and control lifecycle. **When to use:** To set up controlled experiments comparing different agent configurations (models, prompts, parameters), track which variant performs better, and get statistical results. **Workflow:** 1. `create` — Define a benchmark with 2+ variants and metrics 2. Tag sessions with variant tags during data collection 3. `start` — Transition benchmark to running 4. `status` — Check progress (session counts per variant) 5. `results` — Get statistical comparison with p-values 6. `complete` — Finalize the be…

• agentlens_context

  Retrieve cross-session context for a topic — related session summaries and lessons ranked by relevance. **When to use:** At the start of a session to load relevant history, when building a system prompt with past experience, when starting work on a topic the agent has handled before, or to audit what happened with a specific topic. **What it returns:** Related sessions (with summaries, key events, and relevance scores) and related lessons, all ranked by relevance to the topic. Includes an overall summary. **Example:** agentlens_context({ topic: "database migrations", limit: 5 }) → returns p…

• agentlens_cost_budgets

  Manage cost budgets and anomaly detection. **When to use:** To create/manage spending limits, check budget utilization, or configure cost anomaly detection. **Actions:** - `list`: List all cost budgets - `create`: Create a new budget - `update`: Update an existing budget - `delete`: Delete a budget - `status`: Check spend vs limit for a budget - `anomaly_config`: Get anomaly detection configuration - `anomaly_update`: Update anomaly detection settings **Example:** agentlens_cost_budgets({ action: "create", scope: "global", period: "daily", limitUsd: 10, onBreach: "alert" })

• agentlens_delegate

  Delegate a task to another agent in the AgentLens network. **When to use:** When you've discovered an agent capable of handling a specific task (via agentlens_discover) and want to delegate work to it. **Example:** agentlens_delegate({ action: "delegate", targetAgentId: "anon-abc123", taskType: "translation", input: { text: "Hello", targetLang: "es" } })

• agentlens_discover

  Discover available agent capabilities in the network. **When to use:** Before delegating a task, to find agents that can handle a specific task type. Returns ranked results with trust scores, estimated cost, and latency. **Example:** agentlens_discover({ action: "discover", taskType: "code-review", minTrustScore: 70, limit: 5 })

• agentlens_guardrails

  Check guardrail status for the current agent. Returns active guardrail rules, their current state, and recent trigger history. **When to use:** To check what guardrails are protecting this agent, whether any have been triggered recently, and what conditions/actions are configured. **What it returns:** A list of configured guardrail rules with their status (enabled/disabled, trigger count, last trigger time) and recent trigger history. **Example:** agentlens_guardrails({}) → returns all guardrail rules and their status.

• agentlens_health

  Check the health score of the current agent. Returns overall score (0-100), trend, and dimension breakdown. **When to use:** To assess the current health and performance of the agent, to check if error rates or latency are degrading, or to get a quick overview of agent reliability metrics. **What it returns:** An overall health score (0-100), a trend indicator (improving/stable/degrading), and a breakdown by five dimensions: error rate, cost efficiency, tool success, latency, and completion rate. **Example:** agentlens_health({ window: 7 }) → returns health score with dimension breakdown fo…

• agentlens_log_event

  Log an event to an active AgentLens session.

• agentlens_log_llm_call

  Log a complete LLM call (request + response) to an active AgentLens session. Emits paired llm_call and llm_response events.

• agentlens_optimize

  Get cost optimization recommendations. Analyzes LLM call patterns and suggests cheaper model alternatives. **When to use:** To identify cost-saving opportunities by switching expensive models to cheaper alternatives for tasks that don't require the most capable model. Analyzes call complexity (simple/moderate/complex) and success rates. **What it returns:** A list of model switch recommendations with estimated monthly savings, confidence levels, and success rate comparisons. Sorted by potential savings. **Example:** agentlens_optimize({ period: 7 }) → returns recommendations like "Switch gp…

• agentlens_prompts

  Manage prompt templates and versions. **Actions:** - `list`: List prompt templates (optional category, search filters) - `get`: Get a template with all versions by ID - `create`: Create a new prompt template with initial content - `update`: Create a new version of an existing template - `analytics`: Get per-version metrics for a template - `fingerprints`: List auto-discovered prompt fingerprints - `environments`: List configured deploy environments - `deploy`: Deploy a version live in an environment (protected envs need AgentGate approval) - `rollback`: Roll an environment back to an earlier …

• agentlens_query_events

  Query events from an AgentLens session.

Signals

Stars

24

Forks

5

Open issues

4

Weekly downloads

21

Last commit

Aug 1, 2026 (3 months ago)

Last release

Jun 26, 2026 (4 months ago)

Last package publish

Jun 27, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name

io.github.agentkitai/agentlens

Version

0.13.7

Auth

No auth

Packages

npm @agentkitai/agentlens-mcp

License

MIT

Repository

github.com/agentkitai/agentlens

Website

github.com/agentkitai/agentlens

First seen

Oct 24, 2026

Last checked

Oct 25, 2026

Source

Official MCP Registrygithub-graphql