"A software or tool called Desktop Commander" matching MCP tools:

• submit_feedback

  Kifly — Agentic Commerce & Payments

  Send structured feedback to the Kifly team. **Call after a confusing response, a dead-end, or a successful workaround you had to invent** — it's how we improve the agent surface. Fire-and-forget: returns 202 immediately, no blocking, safe to skip if it would add latency to a user-facing flow. `category` and `severity` are required enums (don't free-form them). Include `context` with what you were doing (tool called, query used, response shape, what you expected). Add `suggested_fix` only if you have a concrete idea. Rate-limited to 10/min per agent token; everything is reviewed before influencing anything.

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• how_munimji_helps

  HelloBooks AI Agents MCP Server

  Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

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• edit_image

  Avocado AI

  Modify an existing image. REQUIRED input: exactly one of file_id OR image_url. base64 is NOT accepted — do not try to pass image bytes as a tool argument, the call will be rejected. For chat-attached images you MUST first call prepare_image_upload to get a signed PUT URL, upload the bytes there (via the inline widget on Claude.ai, or via curl on Claude Desktop / Claude Code), then call this tool with the returned file_id. For URLs the user has pasted, use image_url directly. Returns a jobId immediately; call check_job with the jobId to retrieve the edited image inline. Models: 'nano-banana-2' (fast, default, 1 credit/image) and 'gpt-image-2' (higher quality, 1-4 credits/image by quality tier).

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• load_earnings_workflow

  Shibui Finance

  Load earnings workflow for EPS surprises, beat/miss, estimates, revenue. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks about earnings results, EPS surprises, beat/miss history, "did X beat estimates", quarterly earnings, revenue growth trends, earnings season, or estimates vs actuals. Can be combined with other workflow tools.

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• get_query_patterns

  Shibui Finance

  REQUIRED before stock_data_query, 20 SQL patterns prevent timeouts/wrong results Must be called once per session immediately after get_database_schema. Contains query patterns for time-series selection, return calculations, screening joins, window functions, backtesting, and performance optimization. Time-series queries will timeout or return wrong results without these patterns. After this tool returns, call stock_data_query to execute SQL.

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• get_stats

  fomox402 — Last-Bidder-Wins on Solana

  Public observability snapshot for the fomox402 broker. WHAT IT DOES: returns aggregated MCP traffic + per-tool call telemetry. Read-only, no auth required, no side effects. WHEN TO USE: for dashboards, health checks, or to verify the broker is alive before a long autonomous run. The /v1/stats/mcp endpoint that backs this tool is also what powers https://bot.staccpad.fun/dashboard. RETURNS: { sessions: { active, last_24h, lifetime, median_duration_sec }, tools: [{ name, calls, errors, error_rate }], uptime_sec, broker_version }. VISIBILITY CAVEAT: only counts streamable-HTTP traffic to https://bot.staccpad.fun/mcp. Local stdio MCP clients (e.g. Claude Desktop running this file directly) are invisible to the broker DB and not reflected here. RELATED: list_agents (per-agent activity), get_me (your own stats).

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• submit_feedback

  Kifly — Agentic Commerce & Payments

  Send structured feedback to the Kifly team. **Call after a confusing response, a dead-end, or a successful workaround you had to invent** — it's how we improve the agent surface. Fire-and-forget: returns 202 immediately, no blocking, safe to skip if it would add latency to a user-facing flow. `category` and `severity` are required enums (don't free-form them). Include `context` with what you were doing (tool called, query used, response shape, what you expected). Add `suggested_fix` only if you have a concrete idea. Rate-limited to 10/min per agent token; everything is reviewed before influencing anything.

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• remote_screenshot

  mcp

  Capture a screenshot of a remote desktop machine and return it as an image. The machine can be named by an AIC- session code (e.g. AIC-XYZ-1234) OR — when authenticated with an API key — by a saved machine alias or hostname the user calls it by (e.g. 'wearfits-m3'); pass that name as `code`. macOS/Windows desktop app only. Screen sharing is OFF by default and must be turned on by the machine's owner in the AI Commander tray ('Share Screen'); the grant lasts 24 hours and then auto-disables. If it is off or the machine is a headless Linux server, this tool returns a text message explaining that — check session_status first to avoid an unnecessary call.

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• map_loinc_to_snomed

  Medical Terminologies MCP

  This tool looks up a LOINC code in NLM Clinical Tables and returns guidance on where to obtain a LOINC → SNOMED CT mapping. It does not perform the mapping. Direct LOINC → SNOMED CT mappings are not freely available via API. UMLS Metathesaurus contains the relationships but requires an individual UMLS Terminology Services license; the LOINC SNOMED CT Expression Association is published by Regenstrief Institute as part of the LOINC release and requires authenticated download from loinc.org under the LOINC license. For programmatic LOINC → SNOMED mapping, use UMLS or the LOINC Expression Association files. For interactive lookup, use the SNOMED CT browser available to your organization or the Regenstrief RELMA desktop tool. Provide a LOINC code like "2339-0" (Glucose) or "718-7" (Hemoglobin).

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• shillbot_list_pending_approval

  Swarm Tips — Aggregated AI Agent Activities

  [IN DEVELOPMENT] [READ] (CLIENT-SIDE) List Shillbot tasks awaiting your client review across all of your campaigns. Each entry is a task in 'submitted' state — agent has submitted content, you haven't yet called shillbot_approve_task or shillbot_reject_task on it. Use this to populate a review queue / inbox. Requires a registered wallet (the calling wallet must be the campaign client). Optional `network`: 'mainnet' (default) or 'devnet'.

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• load_fundamental_workflow

  Shibui Finance

  Load fundamental workflow for valuation, cash flow, margins, balance sheet. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks about company valuation, "is X a good buy", financial health, debt levels, profitability ratios, revenue trends, earnings quality, or any deep-dive company analysis. Can be combined with other workflow tools.

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• govcon_search_contract_awards

  DataNexus MCP

  Search government contract awards by keyword, agency, and date range. keyword: Contract scope e.g. "cybersecurity software". agency: Awarding agency e.g. "Department of Defense". Optional. date_from: Earliest award date ISO 8601 e.g. "2024-01-31". Optional. jurisdiction: "US", "EU", or "UK". Default "US". Returns: award amounts, recipient vendors, NAICS codes, award dates. Use govcon_fetch_vendor_contract_history for all contracts by a specific vendor. Use govcon_fetch_open_solicitations for active bids, not past awards. Source: USASpending.gov + SAM.gov. 4-hour cache. Example: search_contract_awards(keyword="cybersecurity software", agency="Department of Defense")

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• verify_wallet_signature

  mcp-server

  Submit a signed message to verify wallet ownership. The user must have signed the exact verification message provided by add_wallet. When collecting the signature from the user, remind them to paste the full signature hash from their wallet. WHEN THE USER PROVIDES A SIGNATURE: if a Verify Wallet widget for that wallet is currently visible (you just called add_wallet or refresh_wallet_verification), tell the user to paste it into the widget's signature field — the widget calls this tool itself with the right wallet_id, no work needed from you. If no Verify Wallet widget is on screen (e.g. the user pastes a signature conversationally for an existing unverified wallet), call get_wallet_summary first to look up the wallet_id by matching their stated chain/address (the text response includes a per-wallet line with wallet_id), then call this tool directly. Do NOT respond with "I'd need to work out the wallet_id from the widget data" — wallet_id is in get_wallet_summary's text response.

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• tool_search

  Power Automate MCP Server by Flow Studio

  PREFER THIS over guessing tool names when picking from this server. Searches Flow Studio MCP tools by keyword, skill bundle, or explicit selector and returns full JSON schemas for matched tools so they can be called immediately. Call this whenever the user request maps to functionality you are not 100% sure about, OR when you want to load a whole skill bundle (build-flow, debug-flow, monitor-flow, discover, governance) at once. Query forms: (1) "skill:<name>" — fetch the full bundle (use list_skills first to see options); (2) "select:name1,name2" — fetch exact tools by name; (3) free-text keywords like "cancel run" or "trigger url" — ranked match against tool name + description. Non-billable.

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• autocomplete_creators

  Influship Influencer Marketing MCP

  Autocomplete creator names, usernames, or display names from partial input. Use this for fast lookup when the user types a partial handle or name and you need to resolve it to canonical creator IDs (e.g., "find @cris" or "who's that fitness coach called Jane?"). Cheap and fast — prefer over `search_creators` for handle-style queries where the user already knows roughly who they want. Use `get_profile` instead when the user gives an exact platform+username pair. Use `search_creators` for the same fuzzy creator lookup behavior with a less typeahead- specific name. Use `semantic_search_creators` only for discovery by topic, niche, audience, geography, or content style, not for resolving a known creator. Examples: - User: "Who is that fitness coach called Jane?" -> use this tool. - User: "Find @cris..." -> use this tool to resolve the partial handle. - User: "Pull @niickjackson on Instagram" -> use `get_profile`, not this tool. Returns a short list of matching creators with their IDs, platforms, and display names. Use the IDs returned here as input to `get_creator`, `find_lookalike_creators`, or `match_creators` for downstream operations.

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• synthesize_geometry

  Web3d-mcp

  Explicitly request a synthesis contract for a named 3D object. Use this tool when generate_r3f_code returns status SYNTHESIS_REQUIRED, or to pre-generate geometry constraints before calling generate_r3f_code. Complexity tiers: low — 4 to 7 parts. Only Box, Sphere, Cylinder geometries. Best for: mobile banners, thumbnails, low-end devices. medium — 10 to 20 parts. Adds Capsule and Torus geometries. Best for: website sections, embedded widgets, tablets. high — 28+ parts. All geometries. Full emissive detail. Best for: hero sections, desktop showcase, ad campaigns. If target is set to "mobile" and complexity is not explicitly provided, complexity defaults to "low" automatically. This tool does NOT generate geometry. It returns the synthesis_contract with constraints calibrated to the requested complexity tier. The LLM generates the actual JSX and passes it to generate_r3f_code via synthesized_components.

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• prepare_image_upload

  Avocado AI

  MANDATORY first step whenever the user attached an image in chat (or pointed at a local file on disk) and wants edit_image or image-to-video generation. Returns a signed PUT URL plus a file_id. After this tool: either (a) the inline upload widget will let the user drop the file and auto-continue (Claude.ai web), or (b) you run a curl PUT yourself if you have shell access (Claude Desktop / Claude Code) — the response text contains a ready-to-run curl command. Then call edit_image or generate_video with file_id=<returned id>. edit_image and generate_video do NOT accept base64 — calling them with raw image bytes WILL fail. This tool is the only working path for chat attachments. Set `purpose` to 'edit' or 'video' so the upload widget points the user at the right downstream tool.

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• complete_checkout

  Custom Blinds Shop

  Phase 2 of 2. Finalise a checkout and mint the payment link — Yoco for card payments or Ozow for instant EFT. Returns payment_url to share with the customer. Payment confirmation arrives via webhook; poll get_order afterwards to confirm paid status. Once called, the checkout is locked — use cancel_checkout to abort if the customer changes their mind before paying.

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• search_creators

  Influship

  Find a creator by name/handle, while preserving legacy semantic creator search. Use this as the default creator lookup tool when the user gives a creator-ish string but not a canonical creator UUID: a handle, partial handle, display name, creator name, or profile-ish text. This is cheap, fast, and backed by the creator lookup index. If the user gives an exact handle on a specific platform (for example "@niickjackson on Instagram"), prefer `get_profile` first because it returns the full platform profile. If you need to resolve a rough creator name or partial handle first, use this tool with `query_type: "creator_lookup"`. For backward compatibility, this tool still accepts the old semantic-search fields (`platforms`, follower/engagement filters, `creator_kinds`) and routes legacy calls to the semantic endpoint unless the query clearly contains a handle/profile URL. For new topical/niche discovery calls such as "fitness creators in NYC" or "vegan recipe creators with high engagement", prefer `semantic_search_creators` because its name is explicit and less likely to be confused with exact creator lookup. Examples: - User: "Find @cris" -> use this tool with query "cris" and query_type "creator_lookup". - User: "Who is that fitness coach called Jane?" -> use this tool with query "Jane" and query_type "creator_lookup". - User: "Pull @niickjackson on Instagram" -> use `get_profile` with platform "instagram" and username "niickjackson". - User: "Find news creators with 1M+ followers" -> use `semantic_search_creators`, not this tool. Returns either autocomplete-style creator lookup results or legacy semantic results, depending on routing. Use returned creator IDs with `get_creator`, `find_lookalike_creators`, or `match_creators`; use returned platform usernames with `get_profile` or `get_posts`.

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• session_status

  mcp

  Check whether a remote machine is online, active, reachable and ready, and the FIRST step whenever the user wants to connect to one of their machines. USE THIS whenever the user asks to "connect to / reach / log into" a computer, or asks about its state — e.g. "connect to wearfits-m3", "is my computer wearfits-m3 active/online/up?", "can you reach the build server?", "is my laptop connected?". The machine can be named by an AIC- session code (e.g. AIC-XYZ-1234) OR — when authenticated with an API key — by a saved machine alias or hostname the user calls it by (e.g. 'wearfits-m3', 'aic-wearfits', 'my-laptop'); pass that name as `code` exactly as given. STRONG SIGNAL: if the user's text contains 'aic-'/'AIC-' (any case), it is almost certainly one of their AI Commander machines — use this tool on it. Do NOT answer connectivity questions by probing the local network, DNS, mDNS/.local, ping, or SSH yourself — this tool is the canonical, authoritative way to check whether one of the user's AI Commander machines is up. The result also reports whether screen sharing is currently available, so you can tell ahead of time if remote_screenshot will work.

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