Delete an OKR progress record using its unique progress ID. Remove outdated or incorrect progress entries from OKR tracking.
MIT
601,324 tools. Updated 2026-09-22 22:58
"Improving OKR Strategies" matching MCP tools:
- Fetch full OKR details including objectives, key results, progress, and alignments by providing OKR IDs. Supports batch retrieval of up to 10 OKRs per call.MIT
- Generate an OKR/KPI dashboard slide with metric tiles, including labels, values, targets, and statuses.AGPL 3.0
- Remove an OKR progress record by providing its progress ID. Use to clean up incorrect or outdated entries from your OKR tracking.MIT
- Run several trading strategies on identical data and view side-by-side comparisons, with support for benchmarks and adjustable result detail.MIT
- Get up to six Aurora-recommended strategies by bot type across multiple symbols. Browse options before picking a specific trading symbol.MIT
Matching MCP Servers
- AlicenseAqualityBmaintenanceHyperliquid research MCP — typed strategy composition, deterministic backtests on real market data, opt-in live execution.3839 PyPI2MIT
- FlicenseAqualityCmaintenanceProvides access to Brian Eno and Peter Schmidt's Oblique Strategies card deck to help users overcome creative blocks through lateral thinking. It enables searching and retrieving random prompts from various editions, including collections adapted specifically for programmers.31-
Matching MCP Connectors
- anamneseOAuth
A self-improving memory layer. Your memory, notes, tasks and goals, remembered everywhere.
AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client. To connect, you'll need an AMZScout API plan and authorize your account. Get access and view pricing here: https://learn.amzscout.net/amazon-product-api-for-ai-agents
- Fetch and filter your Bybit trading strategies by status, symbol, type, or time range. Monitor active strategies, inspect stopped ones, and paginate through large result sets.MIT
- Lists recovery and mindfulness strategies with filters for active, historical, or all, providing IDs, names, categories, schedules, and dates to support session logging.MIT
- Retrieve strategies that have a journal with history of snapshots and runs for review.Apache 2.0
- Retrieve a list of all registered AlphaForge strategies including their IDs, names, versions, and timeframes for review or selection.Apache 2.0
- List the four AWS disaster recovery strategies with labels and descriptions to compare recovery options.MIT No Attribution
- Lists active trading strategies with their status and subscribed symbols. Check which strategies are running and what each one tracks.MIT
- List available bots, indicators, and exchanges. Get bot details, sections, and indicator defaults for strategies.MIT
- Reduce vertices in LineString or Polygon geometry to simplify shapes and decrease file size without losing essential form. Ideal for improving map rendering performance.MIT
- List scrape strategies with protection levels and credit estimates to prepare for scraping unknown protected websites.-
- Compare a trader's 30-day and all-time performance metrics, including PnL, trade count, win rate, and trend direction, to determine whether they are improving or cooling off.MIT
- Fetch AlgoChains business identity to access mission, goals, strategies, mental models, lessons learned, challenges, ideas, and KPIs. Specify a section or get all for full context.MIT
- List all proprietary datasets, signal files, document ingestions, and strategies in AlgoChains to see what custom data has been loaded.MIT
- Run the autonomous marketplace pipeline to validate trading strategies through research, tick backtests, and five-gate checks, then stage qualifying strategies as marketplace JSON listings.MIT
- Analyze attempt cohorts to see volume and success rate by attempt number, enabling optimization of retry strategies.MIT
- List past backtests with summary details to review experiments and compare trading strategies.MIT