"File management tools and software" matching MCP tools:

• ateam_github_readA

  ateam-mcpA

  Read any file from a solution's GitHub repo. Returns the file content. Use this to read connector source code, skill definitions, or any versioned file. Default reads from `main` (deployed/prod state). Pass `ref: 'dev'` to read in-progress work. ⚠️ NOT RUNTIME STATE. For `solution.json` and `skills/<id>/skill.json` this returns a git MIRROR, not what is deployed. Connector-imported tools are regenerated at deploy time, so a repo copy's `tools[]` can differ from production (on one solution `dev` showed 29 tools while production ran 66). Reads of those paths carry an `_ateam_representation` field saying what you are holding. To answer "what can this skill actually do?", call ateam_get_solution(solution_id, skill_id, section:'tools') — never this tool.

  ConnectorNo auth

• how_munimji_helpsA

  HelloBooks AI AgentsA

  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.

  ConnectorNo auth

• post_vastu_ayadiA

  Vastu Shastra MCP Server by RoxyAPIA

  Ayadi shadvarga calculator for a building or a room: send the dimensions and the API returns all six proportional formulas with the multiplier, the divisor and the remainder shown, the member each remainder names, and the two verdict rules the texts state. Choose between three text families, which genuinely disagree, and choose your own cubit length, because every remainder is unit sensitive. Built for practitioner tools, plan checking software and anyone who has to justify a dimension rather than assert it.

  ConnectorNo auth

• list_api_reference_pagesA

  docs-mcpA

  List pages in Redpanda API reference documentation. Returns endpoints, schemas, and topic pages with URL, title, type, and description. SCOPING (important for accurate results): - api="all" or omit: Lists all available APIs - api="admin": Cluster management operations (brokers, partitions, configs, users) - api="cloud-controlplane": Redpanda Cloud resource management (clusters, networks, namespaces) - api="cloud-dataplane": Cloud cluster data operations (topics, ACLs, connectors) - api="http-proxy": Kafka operations over HTTP (produce, consume, offsets) - api="schema-registry": Schema management (register, retrieve, compatibility) Use this to browse API structure. For general Redpanda docs, use ask_redpanda_question instead.

  ConnectorNo auth

• list_vpsA

  eqvpsA

  List the account's ACTIVE VPS services — active, provisioning, and suspended servers (deleted/cancelled are excluded). Use the `id` as `service_id` for the management tools. If a server is missing from this list it has been deleted — do not query its status or try to manage it.

  ConnectorNo auth

• depwatch_previewA

  Signal OracleA

  Free preview of breaking changes / new releases for a software dependency. Pass an npm/PyPI `package` (resolved and fetched live if not already tracked) or a GitHub `repo` (owner/repo). Returns up to 5 recent changes plus the package's current version. Full history, significance filtering, and the LLM brief are paid via x402.

  ConnectorNo auth

• GetInvestmentAdviserA

  equiblesB

  Get the full Form ADV profile for a single SEC-registered investment adviser by its Organization CRD number: legal and business names, SEC file number, main office, website, regulatory assets under management (discretionary, non-discretionary and total), employee count, and how the firm is compensated (fee structure). Find CRD numbers with SearchInvestmentAdvisers.

  ConnectorNo auth

• colony_list_group_templatesA

  The ColonyA

  List pre-configured group-conversation templates. Templates are shapes for common multi-agent setups: software team, research pod, content team. Each has a slug, default title + description, suggested role labels, and an optional starter message that gets pinned at creation. Use ``colony_create_group_from_template`` with the slug to create.

  ConnectorNo auth

• get_solution_detailA

  Tuki — Travel Marketplace (Chile y Latinoamérica)A

  Get full detail for a Tuki solution: description, who it is for, capabilities, status and contact / CTA. Use after `list_solutions` or when the user asks about a specific Tuki product (WhatsApp Booking OS, boutique ticketing, rental inventory software, event post-sale, tailor-made tourism software).

  ConnectorNo auth

• suggest_classesA

  Antevo TrademarkA

  Which Nice classes a business like this files in. Free, no account, no database. The question people cannot answer for themselves: not "is my name taken" but "taken in WHAT". Nice has 45 classes and the numbering is opaque — software you download is class 9, software you log into is class 42, and selling other people's goods is class 35 whatever the goods are. Filing in one and not the other is the most expensive routine mistake in the process. Run this BEFORE screen_mark when someone describes a business rather than naming a class: the classes it returns are what makes a screen mean anything. Relay the reasoning, not just the numbers, and keep the closing caveat — this reports how similar businesses file, and their counsel decides what they actually file.

  ConnectorNo auth

• get_eval_itemsA

  aioA

  Fetch the public item set for a standards pack — the Gate A half of AIO Tier 0. Each item carries a bilingual scenario and question, the provision of the reference norm it is derived from, a response format (ves-code / ves-ranking / choice), and a weight. Expected hierarchies are not included in this response, but they are published in the bank file, so a Gate A score is a floor. Use this to practise or to score Gate A alone. A signed score report requires the dual-gate flow: call start_eval_attempt, which returns these items plus Gate B items drawn from a private rotating pool, then submit both with submit_eval. Scope: these items measure model judgment alignment with the formalized provisions only — they do not assess the reference norm's organizational or management-system obligations (documentation, logging infrastructure, risk management, quality management, post-market monitoring, conformity assessment). CC BY 4.0.

  ConnectorNo auth

• perception_get_evadometerA

  PerceptionA

  Get Evade-o-Meter analysis for public companies: how directly management answered questions on earnings calls, which questions they dodged, and the topic-by-topic breakdown. WHEN TO USE: - "Which company has the most transparent management?" (leaderboard) - "Show me the Evade-o-Meter leaderboard" (leaderboard) - "Was Coinbase's management evasive during their last earnings call?" (specific ticker) - "What questions did MARA avoid answering?" (specific ticker) WHAT THE SCORE IS: A communication-style descriptor. In Perception's 455-call backtest the numeric directness score showed no relationship with subsequent returns (r about -0.02), so present it as "how they communicated", never as a trading signal. The qualitative payload (which questions were dodged, on which topics) is the useful part. For the validated analytical lens on earnings calls, use perception_get_earnings_intelligence and lead with management TONE and its quarter-over-quarter shift. DATA PROVIDED: - Leaderboard view (ranks all covered companies by their latest directness score) - Specific ticker view (latest directness score, classification, notable question dodges, topic breakdown, and historical quarter trends)

  ConnectorOAuth

• findagent_list_tech_facetsA

  FindAgentA

  List the controlled Tech Domain and Language/Framework vocabularies (the software-development discipline facets). Pass chosen slugs as create_draft tech_domains[] / languages[]. Read-only; these are enrichment facets (unknown slugs are dropped). Prefer findagent_submission_wizard to walk the user through the tech step-by-step.

  ConnectorOAuth

• use_toolA

  ToolRouterB

  Call a ToolRouter catalogue tool. Use discover first to find tools — then pass the tool name and skill here. IMPORTANT: "discover", "credits_balance", and other built-in tools are NOT catalogue tools — call them directly, never through use_tool. Long-running tools return a job_id — poll with job_get. If a skill needs an image_url or file URL and you have a local file or base64 image, use file_write first to get a hosted URL, then pass that URL to the skill. BRAIN: Some tools require you to consult brain_query first. If use_tool returns an error about brain_context, call brain_query with a relevant query, then pass the result text as brain_context in your use_tool input.

  ConnectorNo auth

• g2_reviewsA

  review-intelligence-mcp-serverA

  Get G2 software reviews. Returns ratings, pros, cons, use cases. Args: product: Software product name (e.g. 'Salesforce') max_results: Max reviews (default 20)

  ConnectorNo auth

• match_practiceA

  GPH Intelligence - Healthcare Vendor FinderA

  Recommend and rank the best healthcare vendors for a specific medical practice. Use this when a practice manager, physician, or administrator asks for a recommendation, e.g. "recommend a medical billing / RCM company for my practice", "who should I use for credentialing / payer enrollment", "find an EHR for my small [specialty] practice", or "which practice-management software fits a [size] practice in [city, state]". Scores and ranks providers against the practice profile (specialty, size, location, EHR system, budget) and returns up to 5 merit-ranked matches (quality-scored, no paid placement) with {company_name, category, city, state_abbr, quality_score (0-100), final_score (0-100), verified status, description, website, profile_url, slug}. For open-ended browsing without a practice profile, use search_providers. Pass a match's slug to get_provider_detail for the full profile.

  ConnectorNo auth

• acc_search_documentsA

  ACC MCPA

  Full-text search the ACC Docs repository of a project for drawings, specs, submittals, and other files via the APS Data Management search endpoint. When to use: The user wants to find a document by keyword (filename, sheet number, or metadata match). E.g. 'find the latest A-201 sheet' or 'search for mechanical specs on Tower project'. When NOT to use: Do not use to upload a file (use acc_upload_file); do not use to fetch issues/RFIs. If you already have a document URN, fetch it directly with an agent that has Data Management folder/item access. APS scopes: data:read account:read. No write scope required. Rate limits: APS Data Management ~50 req/min per app per endpoint; pageable (limit 200 upstream). Avoid tight query loops. Errors: 401 (APS token expired — refresh); 403 (user lacks Docs view permission on the project); 404 (project_id not found — verify 'b.' prefix and hub membership); 422 (invalid filter syntax — simplify query text); 429 (rate limit — back off 60s); 5xx (ACC upstream — retry with jitter). Side effects: None. Read-only and idempotent.

  ConnectorNo auth

• acc_search_documentsA

  ScanBIM MCPA

  Full-text search the ACC Docs module on a project for drawings, specs, submittals, and other documents matching a query string. Calls the APS Data Management v1 search endpoint scoped to a project. When to use: an agent needs to locate a spec section, a sheet, or a submittal by keyword (e.g. 'fireproofing', 'A-101', 'RFI 23'). When NOT to use: you already have the document URN/lineage — fetch it directly. You want the file contents — this returns metadata; download separately via Data Management. APS scopes: data:read account:read Rate limits: APS default ~50 req/min per app per endpoint; Model Derivative translation jobs ~60 req/min; OSS uploads size-limited per file to 100MB for direct upload, larger via resumable. Errors: 401 APS token expired/invalid — refresh; 403 scope or resource permission denied (Docs module access required); 404 project_id not found — check the ID (note: this endpoint re-prepends 'b.' so pass the UUID form); 429 rate limited — backoff and retry; 5xx APS upstream outage — retry with jitter. Side effects: READ-ONLY. Inserts a row into D1 usage_log. Idempotent.

  ConnectorNo auth

• search_occupationsA

  O*NET Occupational DataA

  Search O*NET occupations by keyword. Returns a list of occupations matching the keyword with their SOC codes, titles, and relevance scores. Use the SOC code from results with other O*NET tools to get detailed information. Args: keyword: Search term (e.g. 'software developer', 'nurse', 'electrician'). limit: Maximum number of results to return (default 25).

  ConnectorNo auth

• workflows.trigger_invoiceA

  Admin SubstituteA

  Generate and send an invoice for a completed job. Auto-pushes to connected accounting software (Xero/QuickBooks/MYOB/FreshBooks), generates Stripe payment link, and notifies the customer via SMS. Full pipeline: invoice → accounting sync → payment link → customer notification → team alert.

  ConnectorNo auth

• how_munimji_helpsA

  HelloBooks AI Agents MCP ServerA

  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.

  ConnectorNo auth