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308,358 tools. Last updated 2026-07-18 03:41

"DAF" matching MCP tools:

  • Get the Babylonian Talmud page assigned for a specific date in the Daf Yomi cycle.
    BSD 2-Clause "Simplified"
  • Calculates the Daf Yomi (Babylonian Talmud) learning for a specified date
    Connector
  • Reload the latest structured memory for one or more souls and return only the recent changes (delta) or the full content. Use to stay updated on memory changes without full reloads.
    MIT
  • Check the effective orchestration policy to determine the aggressiveness tier and thresholds for the next orchestration call, without running the orchestrator.
    MIT
  • Analyzes current substrate state to detect drift and recommend a refresh action or no_action, with severity and signals. Writes an auditable receipt for each recommendation.
    MIT

Matching MCP Servers

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    MCP server that enables AI assistants to search Irish property listings on Daft.ie via the daftlistings library.
    Last updated
    5
    MIT
  • A
    license
    A
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    B
    maintenance
    MCP server for business-day arithmetic with country-aware holiday calendars. It offers tools to check, calculate, and list business days and holidays for over 60 countries.
    Last updated
    9
    MIT

Matching MCP Connectors

  • Persistent project context — Rust-native MCP server. IANA-registered .faf format.

  • Persistent project context for Claude. IANA-registered .faf format.

  • Create a portable project context file that stores stack, structure, and intent, so Grok can instantly understand your project each session without re-discovery.
    MIT
  • Combines light .faf and .fafm refresh in a single call. Blend mode for everyday re-ground, nuke mode for hard reload of session memory.
    MIT
  • Sync project.faf into AI context files by injecting a structured .faf block at the top, preserving existing prose below. Keeps tools current with one source of truth.
    MIT
  • Validate a project.faf's structure and integrity to ensure the context file is well-formed and parses cleanly before an agent relies on it.
    MIT
  • Score a project's AI-readiness from 0% to 100% against a fixed 33-slot context model. Deterministic: same input yields same score, with tier and per-slot breakdown.
    MIT
  • Re-read and re-score the current project DNA, then report drift from your last-known score to re-ground the session.
    MIT
  • Retrieve LAZY-RAG cache statistics including hits, misses, hit rate, and cache size to monitor caching performance.
    MIT
  • Ask questions enhanced by RAG context from xAI Collections, with cached responses for fast repeat queries.
    MIT
  • Retrieve current animation timeline information including frame range, current frame, frames per second, total frames, and duration. Use this data to manage animation rendering or check playback position.
    MIT