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136,220 tools. Last updated 2026-05-22 08:12

"How to improve memory or retention like GPT models" matching MCP tools:

  • Compute the retention curve for a saved cohort. For each requested window (e.g. day 1, 7, 14, 30 after the cohort's anchor event), returns how many cohort members fired any non-pageview-end event in that day's window, and the rate vs the cohort size. Use this to answer "did this cohort stick around?" and to compare retention across cohorts (via `cohorts.compare`). The 1-day-window resolution means "7d retention" is "day 7 specifically", not "anywhere in the first 7 days" — the standard product-analytics definition. Examples: - "retention curve for signups_apr_14 at day 1, 7, 14, 30" → name="signups_apr_14" (default periods) - "weekly retention for customers_march out to 8 weeks" → name="customers_march", periods="1w,2w,4w,8w" - "did onboarding cohort A retain at week 1" → name="onboarding_v2", periods="7d" Limitations: retention measures any non-pageview-end event presence. Custom retention metrics (e.g. "retained = fired purchase event") are not in 0.x. The numerator is computed per-day, so windows like "30d" return only day-30 activity. Cohort size is the denominator and is included in the response so consumers can apply sample-size discipline. Pairs with: `cohorts.compare` for two-cohort side-by-side; `cohorts.list` to discover available cohort names.
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  • Sets or clears the default idle content for a display. Idle content is shown whenever the display has no active live content (after clear_display, after duration expires, or on first connect). Provide html to set idle content, or omit it to clear idle content and revert to the system default. Provide content_description to improve later state reads. Requires admin scope. Returns id, name and idle content metadata.
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  • Compare two saved cohorts side-by-side on retention. Returns each cohort's size and retention curve over the same period set, so you can read "did this week's signups retain better than last week's?" or "is this experiment cohort behaving differently than control?" without composing the rates manually. Examples: - "did April 14 signups retain better than April 7" → a="signups_apr_14", b="signups_apr_07" - "are pro-plan signups stickier than free" → a="pro_signups_q2", b="free_signups_q2" - "compare two onboarding variants out to 4 weeks" → a="onboarding_v1", b="onboarding_v2", periods="1w,2w,4w" Limitations: only two cohorts at a time. The same retention windows are applied to both — there's no way to use different windows per side. Sample-size caveats apply per cohort; check both `size` values before reading the rate delta.
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  • GDPR / right-to-erasure tool. Permanently deletes ALL data for THIS workspace: launches, drafts, actions, brain memory, voice samples, engagement events, outbound prospects, connector tokens, OAuth credentials, settings, members, audit logs older than required retention. Also REVOKES the workspace's API key — every subsequent call with that key returns 401. Requires explicit confirm='DELETE-MY-WORKSPACE' to prevent accidents. The action itself logs a deletion receipt before purging (audit trail of the deletion). IRREVERSIBLE. See /privacy for what gets deleted and what (if anything) is retained for legal compliance.
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  • Save a behavioral rule, preference, or correction that should guide future agent behavior. Use this when the user gives explicit guidance like 'always reply in Russian', 'don't suggest meetings before 11am', or 'invoice link goes via email, not chat'. Structure the rule as: the rule itself, why it matters (if stated), and how to apply it. Scope: 'workspace' for org-wide rules, 'agent' for per-agent overrides, 'person' for per-contact preferences. Prefer feedback.save over notes.save for anything that's instructive rather than informational.
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Matching MCP Servers

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    Enables Claude and other MCP-compatible tools to communicate with OpenAI's GPT models (GPT-5, GPT-5-mini, o3) with conversation history and session management. Features advanced controls like reasoning effort settings, token tracking, and parallel conversation sessions for efficient AI workflows.
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  • Cloudflare Workers MCP server: agent-memory

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.
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  • List text-embedding models currently loaded on this node (Qwen3-Embedding, EmbeddingGemma, BGE-M3, etc.). Use list_text_embedding_catalog to browse the curated catalog.
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  • Reverse-lookup a single concept ID (MITRE ATLAS technique like 'AML.T0051', OWASP LLM Top 10 risk like 'LLM01', OWASP Agentic Top 10 issue like 'ASI03', or ISO 42001 Annex A clause like 'A.6') across the AI Defense Matrix. Returns which framework the concept belongs to, the asset rows whose alignment cites it, the cells whose evaluation cellPrompts cite it, and those prompts themselves. Useful when a vendor's product is defined by a specific technique ('we defend AML.T0051') and they need to find which matrix cells to claim. Recognizes only concepts with structured IDs; for prose-only frameworks (NIST IR 8596, CSA AICM, Google SAIF, OWASP AI Exchange) use aidefense_get_framework_alignment instead. This server never requests your program docs or product roadmap and instructs your AI to keep them local—the matrix, framework alignments, and playbooks flow to your AI for local analysis.
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  • List all 15 supported email clients with IDs, names, rendering engines, dark mode support, and deprecation status. Use the returned IDs to filter other tools like preview_email or capture_screenshots.
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  • Upload bytes to agent-isolated object storage. Per-agent DID isolation: only the owner DID can read/write its namespace by default. Settles in real Base USDC at $0.0001/KB on upload. Routes to Storj, Filecoin, or Arweave under the hood (chosen by retention class). Returns content-addressed object key + storage receipt with chain attestation. Backend pending — currently returns 503.
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  • Given a passage of text (essay, note, message, snippet, transcript), returns ~5 humans whose intellectual fingerprint matches it — recurring themes, mental models, archetypal stance, blind spots. Use when the principal asks for sparring partners, intellectual peers, "who else is wrestling with this," "who thinks like X," or "find me writers similar to this passage." Each result returns a name, three-word archetype, one-line summary, dominant themes, and a profile URL the principal can visit. The match runs over Voyage 3.5-lite text embeddings reranked by a proprietary 12-dimensional cognitive-style vector — so results align by *how* a mind reasons, not just topical overlap.
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  • Discover what's currently available in FINN's fleet. Returns all brands (with nested models), car types, fuel types, colors, subscription terms, gearshifts, and price/power/range bounds. Use this to answer questions like 'What brands does FINN offer?' or to validate filter values before searching.
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  • Discover available AI models with numeric IDs, tier labels, capabilities, and per-call pricing in sats. Call this before create_payment to find the right modelId for your task. Returns JSON array: [{ id, name, tier, description, price, isDefault, category }]. Models marked isDefault=true are used when you omit modelId from create_payment. Filter by category to narrow results to a specific tool. This tool is free, requires no payment, and is idempotent — safe to call repeatedly.
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  • Explain the Guard product using CurrencyGuard's approved product and FAQ content. Covers: what the Guard is, how it works, who it is for, how it compares to forwards or options, and legal, regulatory, accounting, or eligibility questions.
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  • GDPR / right-to-erasure tool. Permanently deletes ALL data for THIS workspace: launches, drafts, actions, brain memory, voice samples, engagement events, outbound prospects, connector tokens, OAuth credentials, settings, members, audit logs older than required retention. Also REVOKES the workspace's API key — every subsequent call with that key returns 401. Requires explicit confirm='DELETE-MY-WORKSPACE' to prevent accidents. The action itself logs a deletion receipt before purging (audit trail of the deletion). IRREVERSIBLE. See /privacy for what gets deleted and what (if anything) is retained for legal compliance.
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  • Ingest a structured log batch (NDJSON, max 4 MB, max 10k lines per call). Returns ingestion receipt with byte count, line count, and x402 charge. $0.0001/line + retention surcharge per tier.
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  • Preview today's content from 3 channels. No signup, no arguments required. Call this first to see what your human would receive. If you like it, call start_subscription to activate. Args: source: Optional. How you found us (e.g. "mcpregistry", "relay", "search")
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