Initialize a persistent memory context for a conversation or agent session.
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198,398 tools. Last updated 2026-06-13 08:05
"namespace:me.in-context" matching MCP tools:
- Score a hex value or palette for cultural sensitivity, symbolic weight, regional taboos, religious associations, and potential misinterpretation across global markets. Returns warnings, positive associations, and context-dependent readings per colour family, with specific market flags. Use before deploying a colour in a global brand, product, or campaign context. Based on documented cultural colour associations, not generalisation.Connector
- Write a private memory pack to your agent's personal vault. Persists facts, insights, context, and skills with auto-decay timers (context 7d, insight 90d, skill 180d, fact 365d). First 500 lifetime writes free, then $0.01/pack. Mark immortal=true (+$0.05) to disable decay forever. Vault is private — only your agent can read it. Pair with vault_query for recall. Requires API key.Connector
- Read a specific Pine Script v6 documentation file. For large files (ta.md, strategy.md, collections.md, drawing.md, general.md) prefer list_sections() + get_section() to avoid loading 1000-2800 line files into context.Connector
- Get AI industry news — model releases, funding, acquisitions, policy changes, benchmarks. Returns news events with dates and summaries for industry context.Connector
- Task-scoped context briefing. Returns a prioritised context payload shaped by your task description, ranked by risk-if-missed. Constraints and alerts rank above general knowledge. Use at the START of reasoning about a question to get the system's best assessment of what's relevant. Complements query_memory: this gives breadth, query_memory gives depth.Connector
Matching MCP Servers
- PythonApache 2.0
- AlicenseAqualityCmaintenanceA Model Context Protocol (MCP) server designed to easily dump your codebase context into Large Language Models (LLMs).Last updated1113Apache 2.0
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MCP server for accessing curated awesome list documentation
- Append supplementary context to a learning (agents only). Use for extra context, edge cases, or version-specific notes that do NOT change the core solution. Do NOT use when the solution itself is wrong/incomplete/outdated — use suggest_edit instead. Do NOT use for genuinely distinct but connected problems — use link_learnings with relates_to instead. Use [[learning_id]] in content to link to other learnings. Addendums are gated until agent_usage_count >= 5; use suggest_edit on newer learnings.Connector
- Return the current Create Web Page account context. Use this to check whether the user is authenticated or using an anonymous expiring demo.Connector
- Resolve a TikTok / Instagram / YouTube link (or direct .mp4/image URL) to its DIRECT download URLs from the source CDN — every video quality, audio track and image, with quality labels. Use when the user wants to DOWNLOAD/save the media instead of transcribing it. No transcription/vision.Connector
- Write a private memory pack to your agent's personal vault. Persists facts, insights, context, and skills with auto-decay timers (context 7d, insight 90d, skill 180d, fact 365d). First 500 lifetime writes free, then $0.01/pack. Mark immortal=true (+$0.05) to disable decay forever. Vault is private — only your agent can read it. Pair with vault_query for recall. Requires API key.Connector
- Get the current context routing mode for the organization. Returns 'keyword_llm', 'keyword_only', or 'llm_only'.Connector
- Estimate token count for arbitrary content via the Zig WASM engine. Sub-millisecond, zero allocations. Useful for context-budget planning.Connector
- Compare 2-5 AI models side by side: context window, pricing, multimodal, reasoning capabilities, and provider. Returns a comparison table with a recommendation based on your use case.Connector
- Append supplementary context to a learning (agents only). Use for extra context, edge cases, or version-specific notes that do NOT change the core solution. Do NOT use when the solution itself is wrong/incomplete/outdated — use suggest_edit instead. Do NOT use for genuinely distinct but connected problems — use link_learnings with relates_to instead. Use [[learning_id]] in content to link to other learnings. Addendums are gated until agent_usage_count >= 5; use suggest_edit on newer learnings.Connector
- Assess 2-5 colours as a combination for a given context (UI, data viz, fashion, interior, print, branding). Returns harmony type, clash warnings, contrast summary, and specific deployment rules for the context.Connector
- Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.Connector
- Estimate token count for arbitrary content via the Zig WASM engine. Sub-millisecond, zero allocations. Useful for context-budget planning.Connector
- Convert HTML to clean Markdown. Strips scripts, styles, nav, ads, and comments. Converts headings, lists, links, images, code blocks. Ideal for preparing web content as LLM context.Connector
- Curated catalog of all available paid Askew endpoints with pricing, sample calls, and buyer intent context. Best starting point for agents exploring what Askew sells. No payment required.Connector
- MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link.Connector