"Memory systems for AI agents" matching MCP tools:

• update_agent_avatar

  freedom-mcp

  Generate or regenerate AI agent profile avatar(s) for a company's AI team. Use when an operator wants to create, refresh, or restyle one or more agents' profile avatars. Single agent: pass agent_id OR agent_name. Several agents: pass agent_ids[] OR agent_names[] in ONE call. Whole team: pass all:true. The tool regenerates EVERY target itself in a single call (1 credit per agent) and returns the real new signed avatar_url for each. Report ONLY the agents listed in the result's `regenerated` array — never claim or invent an avatar for an agent the tool did not return. [sensitive-tier — first use may require a manager's approval; a from-now-on approval makes future calls seamless, a just-once approval re-asks next time.]

  Connector

• pipeworx_trending

  Seo Ai Visibility

  What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.

  Connector

• academy_welcome

  StudioMeyer Academy

  ALWAYS call this first when a user connects or asks what this is. Returns a short orientation for StudioMeyer Academy — a free 6-level 'Memory-First AI Operator' curriculum (Levels 1-3 fundamentals, 4-6 memory/MCP/multi-agent), plus playbooks and build recipes. Read it back to the user in their language and offer to start at their level.

  Connector

• search_companies

  mcp

  Samples the major AI engines for which companies they name for a query (e.g. "best CRM for startups"); returns a consensus shortlist (≤5). Use when you want to know who agents *recommend* for a category — not where a specific brand is mentioned (use scan_visibility for that). Free, no URL needed. Result: { companies[], tool_schema_version }.

  Connector

• scan_visibility

  mcp

  Live AI-visibility scan for a brand: crawl + reputation sampled across AI engines, returning where *that* brand is mentioned (any public brand, not just your own). Use when you want to know whether and how a named brand already surfaces in AI answers — complementary to search_companies, which finds who agents recommend for a category. Pro+ (LLM cost). Result: { reputation[], tool_schema_version }.

  Connector

• find_agent

  Zambo AI Tools

  Search the Zambo Agent Registry — the public phone book for AI agents. Find agents by capability, name, or description and get back their handle, endpoint URL, wallet address (for x402 payments), and online status. Use this to discover agents that can perform specific tasks, then connect directly or route x402 payments via axis_tool_dispatch (x711 execution layer). Free, no auth, unlimited searches.

  Connector

• partner_question_insights

  upgrade-agent

  Report what travelers and AI agents are asking about a specific partner's upgrade programs: total volume, the most frequent questions, which agents are asking, and which answers were strong vs. which need review. Pass the partner name (e.g. 'Air Canada', 'MSC Cruises').

  Connector

• ai-extract-batch

  x402 Bazaar

  Same fields across up to 10 texts, one payment — The pipeline version of ai-extract: send up to 10 documents (text1=…&text2=… or texts= with ||| separators) and one field list — get one schema-enforced JSON object per document, in order, from a single paid call. 10 extractions for $0.10 instead of 10x the per-call overhead: built for agents parsing feeds, inboxes, scrape batches and receipt piles. Up to 6K chars per document. Required input: text1. Priced $0.10 per call over x402 on Base; send a prepaid x-credit-token header for unlimited calls, or get 1 free call/day per tool. No wallet or API key required.

  Connector

• get_cost_decoder

  The Front Desk Review

  The REAL all-in monthly cost per vendor for a decoder topic (slug from list_cost_decoders, e.g. 'ai-customer-support-cost'), computed in deterministic code from sourced, dated inputs — each vendor's per-seat price + AI billing model + per-unit price, totalled at named scenarios (e.g. 5 agents at 1,000 and 5,000 AI resolutions/mo) with the arithmetic shown. Quote-only inputs return a null total, never a fabricated number. Optionally pass agents + resolutions for a custom scenario. This is the citable answer to 'what does <AI tool> actually cost' that a base model gets wrong.

  Connector

• check_ai_readiness

  BridgeToAgent — AI Readiness

  Check whether a website or online store is ready for AI agents — whether assistants like ChatGPT, Claude, and Perplexity can read it, recommend it, and act on it. Returns an AI-readiness score (0–100) and which agent-readiness files the site exposes (agents.json, llms.txt, agent-instructions.md, structured data). Use this when a user asks if their store/site is AI-ready, visible to AI, or ready for AI shopping.

  Connector

• wavedash_get_agent_workflow

  Wavedash

  Return a concise end-to-end workflow for AI agents creating a browser game from scratch and preparing it for Wavedash upload. Read-only and unauthenticated; upload still happens through the Wavedash CLI or Developer Portal.

  Connector

• list_agents

  AgentLine

  List Agents List all AI voice agents configured on your account. Returns every AI phone agent you've created, including their system prompts, voice settings, and associated phone numbers. Useful for checking which agents are ready to make or receive calls. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **Output Schema:** ```json {} ```

  Connector

• hub_stats

  Agent Reputation

  Live statistics for the compatibility surface: how many AI agents and MCP servers are listed (registered natively + imported from external registries), how many sourced ratings have been submitted, and recent tool activity. These counts describe the mirror and its operation, not product value or market authority.

  Connector

• claims_on_topic

  Kaal Corpus: Verifiable Claim Layer

  Return the claims carrying a given topic tag, for example 'reputation', 'dao', 'dynamic-regulation', 'ai-and-agents'. Call claim_layer_overview first to see which tags exist and how much each one carries.

  Connector

• search_agent_directory

  Name Whisper — ENS Intelligence Layer

  Search the AI agent directory — find registered agents by name, capability, protocol support, or reputation. Powered by the live ERC-8004 registry via 8004scan (110,000+ agents indexed across 50+ chains). Returns agent identity, owner wallet/ENS, reputation scores, supported protocols (MCP/A2A/OASF), verification status, and links to 8004scan profiles. Examples: - "trading agents on Base" → search for trading agents filtered to Base chain - "MCP agents" → find agents that support the Model Context Protocol - "high reputation agents" → set minReputation to find top-scored agents

  Connector

• human_task_list

  WingmanProtocol Agent Gateway

  Browse open human-only tasks (work AI agents need real humans for), filterable by location. Public. Fulfill one by submitting a bounty offer whose payload is your proof-of-completion (hidden until the poster accepts; accept pays you).

  Connector

• get_agent_framework_docs

  Velane Cloud

  Returns Mastra (Bun) and LangGraph (Python) patterns for AI agent workflows. Call this BEFORE create_workflow / update_draft when building chatbots, tool-using agents, or multi-step LLM flows. Do not hand-roll custom agent loops — use the preinstalled frameworks.

  Connector

• web_extract

  x402-endpoints

  Web search and webpage extraction for AI agents — returns clean, LLM-ready markdown (deduplicated, with source URLs), not raw HTML. Give 'query' to search the web or 'url' to scrape and extract a page into markdown ready to drop into a prompt. Powered by Jina Reader. Price: $0.05 per call (x402 payment, USDC on Base mainnet). Web search and webpage extraction for AI agents, returned as clean LLM-ready markdown with source URLs. Give 'query' to search the web or 'url' to scrape and extract a page. For research and RAG agents.

  Connector

• zambo_remember

  Zambo AI Tools

  Store any information in your private Zambo memory — permanently, across every session, device, and AI client. Claude loses all context between sessions. zambo_remember fixes that forever. Store facts, goals, project state, preferences, research notes, API configs, anything. Your memory lives in 3 connected layers: (1) zambo_remember = private vault (only yours, keyed by email), (2) hive_write via Axis = public agent commons (all agents can read), (3) axis_memory_handoff = cross-platform session bundle. Free: 20 memories per email. Zambo Pass: unlimited.

  Connector

• get_geo

  webbersites-x402-data-api

  IP geolocation: country, region, city, coordinates, and timezone for any IPv4 or IPv6 address. Fast in-memory lookup for analytics, fraud, and personalization agents. ($0.001 per call, paid via x402)

  Connector