ai.plith/plith

up checked 2026-11-11T11:38:49.600Z

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Publisher-provided description

AI agent infrastructure: dedup, cost prediction, validation, governance, failure intelligence.

Summary by lookupd

Lets agents estimate and track LLM spend, cache repeated tasks, enforce governance policies, check known failure patterns, and validate…

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http plith https://plith.ai/api/mcp

Codex, remote (streamable-http)

codex mcp add plith --url https://plith.ai/api/mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "plith": {
      "url": "https://plith.ai/api/mcp"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (15 tools)

Publisher-provided text

dedupq_check Before executing any LLM task, check if an identical or semantically similar task has already been completed. Returns cached result on hit, saving one LLM call.
dedupq_complete After executing a task, store the result so future identical or similar tasks return a cache hit via dedupq_check. Costs 2 credits.
burnrate_estimate Before executing a multi-step agent plan, estimate the total LLM cost. Returns per-step breakdown and optimization suggestions. If the estimate exceeds your bud
burnrate_track Log the actual cost of an LLM call after execution. Call this after every LLM request to build calibration data that improves burnrate_estimate accuracy over ti
burnrate_optimize Get a cheaper equivalent plan by substituting models with lower-cost alternatives. Call after burnrate_estimate if the estimated cost exceeds your budget. Retur
burnrate_budget Get today's tracked LLM spend, per-model breakdown, projection, and budget alerts. Free — no credits charged.
qualitygate_validate After your agent generates output, validate it against your rules before shipping. Runs deterministic checks (regex, JSON schema, syntax) plus optional LLM-powe
guardrail_check Evaluate a proposed agent action against your governance policies. Returns allow or deny with the matched policy reason. Requires at least one active policy cre
guardrail_create_policy Create a persistent governance policy that guardrail_check evaluates on every subsequent call. Define rules using and/or/not operators over action types, resour
pitfalldb_query Check for known failure patterns before executing a task type. Returns pitfalls with severity, fix suggestions, and confidence scores. After your agent runs, su
pitfalldb_report Report an agent failure. PII-scrubbed before storage. Linked to existing pitfalls if similar. Free — no credits charged.
rigor_plan Before executing a complex task, get a structured workflow plan with per-step cost estimates. Classifies your task, selects the optimal framework sequence, and
rigor_execute Execute a structured workflow end-to-end. Call rigor_plan first (free) to preview the step sequence and cost estimate before committing credits. Classifies the
rigor_status Check the status of a running or completed Rigor workflow. Returns progress, step results, and the full deliverable when complete. Use after rigor_execute with
rigor_workflows List and search Rigor workflows for your organization, with filtering and pagination. Returns status, progress, capacity usage, and available actions per workfl

Details

Version: 1.0.0
Transports: streamable-http
Uptime (7 days): 100%
Median latency: 586 ms
First indexed: 2026-11-01T08:50:42.499Z
Last seen in registry: 2026-11-01T08:50:42.499Z
Repository: https://github.com/chicogonzales/plith

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MCP URL: https://api.lookupd.com/mcp