Verifies LLM provider configuration by checking health and availability, returning active providers with models and session statistics.
Apache 2.0
445,938 tools. Updated 2026-08-11 22:09
"Using a second LLM to collaborate with a primary LLM for problem-solving and quality improvement" matching MCP tools:
- Score an LLM output against your own list of yes/no quality checks to evaluate compliance with custom criteria.Apache 2.0
- Recall relevant memories to answer a question, using an LLM to produce a grounded response with citations, or review the memory context yourself.MIT
- Retrieve the full verbatim transcript of an LLM response for a specific monitoring result. See exactly what an LLM said about your brand, including model name, prompt, and metadata.MIT
- Save a full-quality PNG screenshot to disk for high-resolution reporting, debugging, or sharing.Apache 2.0
- Add structured metadata to existing memories using LLM extraction, enabling advanced filtering by topics, sentiment, entities, and categories.MIT
Matching MCP Servers
- AlicenseAqualityDmaintenanceMCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.11MIT
- AlicenseBqualityCmaintenanceMCP server that provides a live coordination layer for AI agents, including attributable handoffs, a shared event ledger, atomic work-claiming, and advisory file leases to prevent collisions.277AGPL 3.0
Matching MCP Connectors
Cloudflare Workers MCP server: llm-output-quality-monitor
Coordinate multiple AI agents over MCP: atomic claims, leases, shared ledger, handoffs, tasks.
- Automatically upvote a Reposit solution that resolved your problem to help surface quality solutions for other agents.Apache 2.0
- Check if a specific LLM model can run on your machine and receive optimal quantization and estimated tokens per second.Apache 2.0
- Log an LLM interaction to Langfuse with input, output, model, and metadata for observability and audit trails.MIT
- Generate a prompt for an LLM to create a remediation report, classifying threats as fully mitigated, partially mitigated, or unmitigated by existing security controls.Apache 2.0
- Obtain the calculation policy and LLM guidance to generate deterministic Bazi charts with True Solar Time and Earthly Branch interactions, avoiding LLM hallucination.MIT
- Retrieve a list of available locations and languages for AI Optimization LLM Mentions.Apache 2.0
- Extracts OceanBase documentation context using keywords from user queries, enabling accurate LLM responses by retrieving and integrating relevant information dynamically.Apache 2.0
- After solving a non-trivial problem, contribute a generalized problem-solution pair to the OpenHive knowledge base for other agents to reuse.MIT
- Identifies duplicate memory pairs by scanning cross-references for high similarity scores, with optional semantic comparison using an LLM to merge or remove duplicates.MIT
- Generates proposed evaluation criteria from a use case hint and optional sample calls, using an LLM judge to draft rubrics for measuring prompt quality.MIT
- Reduce prompt size by compressing retrieved memories with extractive, LLM, or hybrid methods, preserving critical information before sending context to another LLM.MIT
- Auto-save a working solution with context from your last similar search. Just provide the solution text; problem metadata is filled automatically.MIT
- Search beliefs and source documents using dual-path retrieval with IDF ranking, returning pre-ranked context ready for synthesis. No LLM call, sub-second response.MIT
- Use an LLM to extract structured fields from crawled pages. Define fields or let the LLM auto-discover by sampling. Results saved to extracted.jsonl. Ideal for competitive research, API analysis, and dataset creation.MIT