Return the ASO framework reference: six signal pillars with point weights, maturity levels ASO-0 to ASO-5, certification thresholds, and scoring rubric for education and documentation.
MIT
255,062 tools. Last updated 2026-07-01 17:35
"Weights & Biases" matching MCP tools:
- Retrieve the component exchanges and trading pairs that make up a Bybit index price, including their weights, prices, and multipliers.MIT
- Update DAO membership by adding, removing, or changing voting weights. Set a member's weight to zero to remove them. Requires group admin permissions. Signs and broadcasts an on-chain transaction.MIT
- List members of a DAO with their voting weights. Provide a DAO name, address, or group ID. Returns JSON array with address, weight, metadata, added_at. Optionally set a limit (default 100).MIT
- Retrieve the ASO framework reference: six signal pillars with weights, maturity levels (ASO-0 to ASO-5), certification thresholds, and scoring rubric. Use it to understand agent readiness scoring.MIT
- Analyze a user's completed anime or manga list to generate a taste profile with genre weights, top themes, scoring patterns, and format split.MIT
Matching MCP Servers
- Alicense-qualityDmaintenanceQuery and analyze your Weights & Biases data using natural language through the Model Context Protocol.Last updated1MIT
- Alicense-qualityCmaintenanceEnables LLM agents to query Weights & Biases experiments, including listing projects, runs, metrics, plotting metrics, and retrieving run details.Last updated1MIT
Matching MCP Connectors
Read-only MCP access to TrailWeights' ultralight gear corpus: verified weights, reviews, pack lists
Adversarial behavioural-bias engine — audits your decisions for cognitive biases via your own AI.
- Evaluate and rank cities for digital nomad suitability using weighted scores from cost, safety, internet, weather, visa, and lifestyle dimensions.MIT
- Rank travel destinations by cost, weather, safety, events, and quality of life. Input destinations, dates, and weights to find the best match for your preferences.MIT
- Generate forecasts for values between 0 and 1 using AI agents. Create custom data models, provide text or file inputs, and receive predictions with explanations for seasonal weights, probabilities, or shares.PythonMIT
- Retrieve staking pool summary for Initia L1 network: total bonded tokens, unbonded tokens, and voting power weights.Apache 2.0
- Add font entries to a typography block using Google Fonts, Adobe Fonts, custom uploads, or system fonts. Specify font family, weights, and usage role.MIT
- Spreads activation from seed nodes to find the most relevant code entities. Applies domain-tuned edge weights for repair, review, or onboarding tasks.MIT
- Retrieve the ASO framework reference including six signal pillars with point weights, maturity levels ASO-0 to ASO-5, certification thresholds, and the scoring rubric for agent readiness assessments.MIT
- Vote on VIP gauge weight distribution by assigning weights to each bridge in a specified voting cycle.Apache 2.0
- Create an investment pie by assigning target weights to selected instruments. Instruments are purchased upon funding.MIT
- Read live state from Hyperliquid strategies: overview, positions, equity, P&L, stats, weights, executions, orders, trades, funding, or portfolio. One view parameter replaces 13 endpoints.MIT
- Suggest addresses in real-time as users type, enabling live autocomplete in UI fields. Biases results to user location for local relevance.MIT
- Obtain a comprehensive project overview in one call. Get project shape, risk hotspots, central files, communities, and task-routed next-step suggestions to replace multiple chained calls.MIT
- Create a custom scoring profile for URL risk assessment by overriding weights on specific signals, such as parked or brand_impersonation, to tailor detection for your use case.MIT
- Retrieve the detailed breakdown of a specific pie: instrument allocations, current vs target weights, per-instrument P/L, and pie settings using its numeric ID.MIT