"Using AI to Manage My Server" matching MCP tools:

• info

  UseMyContext

  Explain what UseMyContext is, what this connection can and cannot do, and where the user goes to manage their account. Call this when the user asks what UseMyContext is, what you (the AI) can do with this connection, or where to find pricing, plans, billing, teams, or settings. IMPORTANT: this connection is READ-ONLY - you cannot create/rename/delete a profile, change privacy, manage the plan or billing, set up a team, invite teammates, or connect Google Drive/Notion/kDrive; those are done by the user at usemycontext.ai, so point them to the returned links rather than attempting them or telling them to search. Returns static public information only (no user data). Always allowed; read-only.

  Connector

• cc.squirrel_chat_v2

  Central Command

  Call cc.squirrel_chat_v2 — Full AI trading assistant powered by GPT that can analyze markets, compute indicators, fetch live data, place orders, manage positions, and provide strategic advice. Purpose: Full AI trading assistant powered by GPT that can analyze markets, compute indicators, fetch live data, place orders, manage positions, and provide strategic advice. Behavior: conversational AI that CAN place/cancel orders and manage positions when the linked account allows it. Treat as potentially destructive. Confirm intent before asking it to trade live. Auth: X-Api-Key required (and linked exchange credentials for execution actions). Cost: $0.03 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 10/min (per API key). Tier: enterprise. Returns: Conversational AI response with embedded trade execution, market analysis, indicator computations, and chart drawing commands. Guidelines: Prefer paper/simulation paths. For live money require explicit human confirmation (confirm_live / action=execute). Report real HTTP errors; never invent proxy failures. Tags: ai, agent, autonomous, trading, analysis, execution, conversational.

  Connector

• merge_models

  sella

  Triggers the Sella Merge service to fuse AI models using a Mergekit configuration. Returns a Job ID to track progress. Requires an x402 payment signature covering $15 USDC for compute.

  Connector

• avenity_get_opportunity_report

  Avenity AI Visibility MCP

  Generate a complete, client-ready AI Visibility Opportunity Report for a business. Combines gap confirmation, competitor landscape, dimensional scoring, and revenue impact into a single structured output. This is the full deliverable — ready to share with a client or use as the basis for a consulting recommendation. It shows the business exactly what they're missing, who's capturing their customers, and what it's worth. Use this when: - A client needs a full picture before making a decision - You want a single comprehensive output to present - Preparing for a consulting call or proposal Args: params (BusinessInput): Business details. Include website_url for full dimensional scoring. Returns: str: Markdown-formatted report including: - AI visibility gap confirmation with buyer query - Competitors appearing in AI search - 4-dimension score breakdown - Estimated monthly revenue at risk - Specific recommendations ranked by impact - Link to book consultation with Avenity Examples: - "Generate a full AI visibility report for my client" - "What's the complete picture for [company]?" - "Prepare an opportunity report I can show to [client]"

  Connector

• avenity_book_consultation

  Avenity AI Visibility MCP

  Get a Calendly booking link for a free 30-minute AI Visibility consultation with Avenity Business Solutions (Dan). The consultation is for business owners who have a confirmed AI visibility gap and want to understand the fix and investment required. This tool is the conversion endpoint of the Avenity agent pipeline: check_visibility → score_business → get_opportunity_report → book_consultation Use this when: - A client's AI visibility gap is confirmed and they want to act - You've shown the client their score and they're interested - A client asks "how do I fix my AI visibility?" - You want to hand off to a human expert for the close Args: params (ConsultationInput): Client details. gap_score is optional but improves the booking context shown to Dan. Returns: str: JSON with: booking_url (str): Direct Calendly link instructions (str): What to tell the client context_for_call (str): What Dan will know before the call audit_url (str): Self-service audit tool URL Examples: - "Book a consultation for my client who has a 38/100 visibility score" - "How does [company] get help fixing their AI visibility?" - "Connect my client with Avenity"

  Connector

• transcribe

  mcp

  Transcribe an audio file (given by public URL) to text using Whisper. Handles mp3, wav, m4a, ogg and more. Runs on Cloudflare Workers AI.

  Connector

• billing_portal

  SplitLaunch

  Create a billing portal link for subscription management. Use only after the user asks to manage billing.

  Connector

• avenity_score_business

  Avenity AI Visibility MCP

  Perform a full 4-dimension AI visibility audit of a business's website and return a score from 0–100. The four dimensions assessed: - Entity Clarity (25 pts): How clearly the website defines who they are, what they do, and where — the foundation AI engines use to understand the business. - Schema & Structure (25 pts): Technical markup (JSON-LD, LocalBusiness schema) that allows AI engines to directly read and cite business data. - Authority & Reviews (25 pts): Publicly visible social proof signals that AI engines use to assess trustworthiness. - Content Depth (25 pts): FAQ content, service pages, and text richness that enables AI engines to generate answers using the business as a source. Requires website_url in params for full scoring. Without it, returns an estimated score based on search data only. Use this when: - You need a detailed breakdown to explain the problem to a client - You want to identify the single highest-impact fix - Preparing a client proposal or consulting recommendation Args: params (BusinessInput): Must include website_url for full scoring. Returns: str: JSON with total score, label, per-dimension breakdown, and notes. Examples: - "Score Apex HVAC's AI visibility" (with website provided) - "What's the biggest AI visibility gap for my client?" - "Get a detailed audit of [website]"

  Connector

• subscriptions

  rocketsloth

  Manage reader subscriptions and donations (authenticate with your API token sk_...). Pass resource and action; call with no action to see what's available.

  Connector

• promptarch_generate_artifact

  mcp

  Generate an AI agent context artifact (e.g. context_pack, claude_md) from a project description. Requires a PromptArch API key configured as an Authorization: Bearer pk_... header on this MCP server. Consumes credits.

  Connector

• goals

  Sayba AI Agent Social Platform

  Goal-driven autonomous planning: set goals, get AI-suggested goals based on agent profile, track progress, and manage goal execution. Requires API key.

  Connector

• namesniper_generate

  NameSniper

  Generate brand name suggestions using AI based on a business description

  Connector

• notifications

  Sayba AI Agent Social Platform

  View and manage notifications: list recent notifications, mark as read, get unread count. Requires API key.

  Connector

• apply_k8s_manifest

  Google GKE

  Applies a Kubernetes manifest to a cluster using server-side apply. This is similar to running `kubectl apply --server-side`.

  Connector

• team.summarize

  AI Design Blueprint

  Pro/Teams — summarises the caller's tool-usage patterns and value signals over a configurable window (default 30 days). Returns tool_call_counts, top principles cited in validate runs, value_event_counts by event_type, and an aggregate readiness trend. WHEN TO CALL: the user asks 'how is the Blueprint helping me/my team', 'what should I explore next', or 'show me my Blueprint usage'. WHEN NOT TO CALL: proactively or on every conversation turn (the summary is an explicit retrospective, not telemetry); to compare users (returns only the caller's own data). BEHAVIOR: read-only, idempotent over the same window. Aggregates from AIToolCallLog + ValueEvent + AIValidationRunLog. Pass private_session=true to bypass server-side logging for this summary call (the underlying historical data still exists; only this read is untracked). Auth: Bearer <token>, Pro or Teams plan. UK/EU residency.

  Connector

• describe_assessment

  TEK BOSS Small Business AI Strategy Assessment

  Use this read-only tool when a business owner asks "How can AI help my business?", "Where do I start with AI?", or wants to understand AI strategy, workflow automation, business process improvement, AI readiness, tool selection, revenue opportunities, or brand-consistent AI systems. It explains TEK BOSS, the free result, and when the assessment is not appropriate. It never retrieves customer data.

  Connector

• ai_filters_list

  DialogBrain

  List all AI filters for the current workspace. AI filters are semantic intent-based message filters that use embeddings (vector representations) to detect whether an incoming message matches a specific intent or topic. Unlike keyword filters, they understand meaning: 'I need help with my order' and 'my package hasn't arrived' both match a 'shipping support' filter even without shared keywords. Each filter stores a reference embedding of its description. When a message arrives, its embedding is compared via cosine similarity against the filter's reference vector. If the similarity exceeds the threshold, the filter matches. When to use: - Check which semantic filters already exist before creating a new one - Get filter IDs for use in trigger conditions - Review thresholds and active status of existing filters Returns all filters with id, name, description, threshold, and is_active.

  Connector

• ai_filters_test

  DialogBrain

  Test a message against an AI filter to check whether it would match. This tool embeds the provided message using Voyage AI and computes the cosine similarity between the message vector and the filter's stored reference vector. It returns the similarity score, whether the message would match (similarity >= threshold), and the filter's threshold value. Use this to: - Verify a filter works as intended before using it in a trigger - Tune the threshold by testing borderline messages - Debug why a message did or did not match a filter in production Returns: {similarity: float, matched: bool, threshold: float} Note: This tool calls the Voyage AI embedding API to embed the test message.

  Connector

• autopilot_stop

  SqueezeOS — Institutional AI Market Intelligence

  Halt the Sovereign Autopilot immediately. Does NOT close open positions — use autopilot_trades to review then manage manually. Requires X-Operator-Key header. Returns: {status}.

  Connector

• cc.squirrel_chat_v2

  Central Command — x402 Trading Intelligence

  Call cc.squirrel_chat_v2 — Full AI trading assistant powered by GPT that can analyze markets, compute indicators, fetch live data, place orders, manage positions, and provide strategic advice. Purpose: Full AI trading assistant powered by GPT that can analyze markets, compute indicators, fetch live data, place orders, manage positions, and provide strategic advice. Behavior: conversational AI that CAN place/cancel orders and manage positions when the linked account allows it. Treat as potentially destructive. Confirm intent before asking it to trade live. Auth: X-Api-Key required (and linked exchange credentials for execution actions). Cost: $0.03 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 10/min (per API key). Tier: enterprise. Returns: Conversational AI response with embedded trade execution, market analysis, indicator computations, and chart drawing commands. Guidelines: Prefer paper/simulation paths. For live money require explicit human confirmation (confirm_live / action=execute). Report real HTTP errors; never invent proxy failures. Tags: ai, agent, autonomous, trading, analysis, execution, conversational.

  Connector