"Building a solid memory base for AI development" matching MCP tools:

• ai_readiness_checkA

  ListingGood MCPA

  Score how likely Amazon's AI (Rufus, COSMO) is to recommend a listing. Free, deterministic, rule-based check on pasted listing copy (title, bullets, description). Returns a compliance health score, an AI-readability score, and a combined AI Recommendation Readiness Score (compliance * 0.55 + readability * 0.45) with actionable suggestions. Use this as a fast baseline BEFORE generating or editing a listing. Do NOT use it for a full compliance report - use compliance_scan for the deep knowledge-base audit. Free, read-only, no API key required, no credits deducted. Args: text: raw listing title + bullets + description (required). marketplace: marketplace code, US/DE/ES/FR/IT/JP/AE/SA/UK (default US). lang: zh or en (default en). email: optional lead email for a confirmation message and lead capture.

  ConnectorNo auth

• get_node_configsA

  NoClickB

  Manual fallback: returns a node type+operation's config SCHEMA (the fields you can set) — NOT a live node's saved config (use get_node for that). Takes "type:operation" pairs (e.g. ["automation-slack:send_message_to_channel"]). Prefer search_operations(detail_level='full') for intent lookup, or update_workflow(include_configs=true) while building.

  ConnectorOAuth

• get_project_memoryA

  QuillHubA

  Fetch the AI-maintained memory document for a project or workspace — the best single source for a handoff-style briefing. Sections include purpose, glossary, key people, activity digest, and routing signals, distilled across all meetings. Pass EXACTLY ONE of `project_id` (project memory) or `workspace_id` (workspace-level memory); get ids from `list_workspaces`. Returns the memory as rendered markdown plus `updated_at`. Start here for "give me a summary / bring me up to speed on project X" questions, then drill into `find_subjects`/`search_meeting_transcripts` for specifics.

  ConnectorOAuth

• check_textA

  WSC - Writing Style CheckerA

  Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.

  ConnectorNo auth

• scan_opportunitiesA

  intelligence-mcpA

  Scan GitHub, Hacker News, and npm for new repos, packages, and discussions in the agent payments ecosystem (AP2, ACP, x402, MPP, UCP). Returns AI-classified and scored opportunities with recommended actions. Use when the user asks about recent activity, new developments, or opportunities in agent payments ('what's new in agent payments?', 'any new x402 repos?', 'scan for opportunities'). Use get_protocol_info instead for static protocol details, or compare_protocols for side-by-side comparison. Costs $0.01 USDC. Accepts: x402 (USDC on Base).

  ConnectorNo auth

• scan_opportunitiesA

  Intelligence MCPA

  Scan GitHub, Hacker News, and npm for new repos, packages, and discussions in the agent payments ecosystem (AP2, ACP, x402, MPP, UCP). Returns AI-classified and scored opportunities with recommended actions. Use when the user asks about recent activity, new developments, or opportunities in agent payments ('what's new in agent payments?', 'any new x402 repos?', 'scan for opportunities'). Use get_protocol_info instead for static protocol details, or compare_protocols for side-by-side comparison. Costs $0.01 USDC. Accepts: x402 (USDC on Base).

  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

• how_munimji_helpsA

  HelloBooks AI Agents MCP ServerB

  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

• memory_indexA

  RecaoA

  List this account's company memory, one line per entry (name + description), newest first. Traverse index-first: scan this, then memory_recall(name) for full bodies. Memory accrues automatically from your competitor scans (exhaust) and from your own memory_note writes.

  ConnectorNo auth

• check_textA

  Writing Style CheckerA

  Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.

  ConnectorNo auth

• find_consultation_timesA

  UpforgeA

  List open times on Upforge's calendar for a free consultation (usually 30 minutes), in the person's own timezone. Call this before book_consultation and let the person pick a time; never pick one for them. Meeting types come live from the scheduler: general-inquiry is the default, and service types such as web-design, application-development or ai-automation route to the right person. Bookings need about a day's notice, so the search starts tomorrow.

  ConnectorNo auth

• get_building_characteristicsA

  normiA

  Get physical building characteristics for a DVF transaction from the BDNB national building database. Returns: construction year, number of units, number of floors, wall material, roof material, primary usage, and median price/m² from BDNB's pre-2022 DVF aggregate stats. REQUIRED: transaction_id (DVF transaction ID — get this from the "id" field in search_property_transactions results) Match method: spatial proximity (nearest BDNB building within 200m). Returns null + refunds credits if no building found within 200m. Workflow: call search_property_transactions first → use an "id" from the results as transaction_id here. Example: transaction_id: "12345678" → { building: { annee_construction: 1967, nb_logements: 48, mat_mur: "beton", ... } } Cost: 2 credits

  ConnectorAPI key

• genesis402_callA

  Genesis402 by UnyKorn (x402 pay-per-call)A

  Calls any of the 380 Genesis402 endpoints by name (DeFi, SEC filings, research, web/domain intel, AI text tools, multi-chain reads). Prices $0.001-$0.25 USDC on Base. Use for any endpoint without a dedicated tool; look up the name and parameters with genesis402_catalog first. Parameters are validated for free before any quote. Without payment_signature (or a local payer) it returns the exact price quote and signs nothing; with payment it returns the result plus the settlement details.

  ConnectorNo auth

• application_timelineA

  OpenCityRecordA

  How a development project moved through the city — a rezone, subdivision, site plan, conditional-use permit, or apartment/commercial build. Returns the application's lifecycle across meetings (pending → under-review → hearing → approved/denied), oldest first, with the status recorded at each step. WHEN: 'What's the status of the Silo Park development?', 'How did rezone X move through the council?'. WHEN NOT: For issues/policy (not a specific project) use issue_timeline; for quotes use search_meetings. Pass `city` whenever you pass `q`. A project or retailer name often matches applications in several cities, and without a city you will get `application: null` plus a `candidates` list to choose from rather than an answer about the wrong city. Check `candidates` even on a resolved application: one name can cover more than one project in the same city. EXAMPLES: { "q": "Silo Park", "city": "lehi-ut" } — ALWAYS pass city with q { "application_id": "<uuid>" }

  ConnectorAPI key

• engram_proofA

  EngramA

  Audit adoption before a rollout or when checking whether the workspace is using memory and reporting outcomes. Takes no arguments. Returns JSON with memory-bank breakdowns, learning-loop activity, proof points and a benchmark checklist. Does not change knowledge or run a benchmark. Use engram_setup for onboarding and engram_recall for task knowledge. Consumes workspace daily call quota. OAuth: memory:read.

  ConnectorOAuth

• get_rates_by_baseA

  CurrencyCoreA

  Return the daily FX snapshot re-based to `base`: every supported currency quoted as units per 1 unit of `base`, with `base` itself at 1. Use when the user wants a multi-currency table in a non-USD base (for example "rates in EUR"). Use `get_rates` for the USD table, `convert` for one pair or amount, and `get_history` for a time series. Omitting `date` returns the latest available snapshot, which is not necessarily today. Returns `{ base, date, rates }`; an unsupported base or a date with no snapshot is a 404. Requires a signed-in connection; each successful call bills 1 API request.

  ConnectorOAuth

• get_rates_by_baseA

  CurrencyCoreA

  Return the daily FX snapshot re-based to `base`: every supported currency quoted as units per 1 unit of `base`, with `base` itself at 1. Use when the user wants a multi-currency table in a non-USD base (for example "rates in EUR"). Use `get_rates` for the USD table, `convert` for one pair or amount, and `get_history` for a time series. Omitting `date` returns the latest available snapshot, which is not necessarily today. Returns `{ base, date, rates }`; an unsupported base or a date with no snapshot is a 404. Requires a signed-in connection; each successful call bills 1 API request.

  ConnectorOAuth

• get_rates_by_baseA

  CurrencyCoreA

  Return the daily FX snapshot re-based to `base`: every supported currency quoted as units per 1 unit of `base`, with `base` itself at 1. Use when the user wants a multi-currency table in a non-USD base (for example "rates in EUR"). Use `get_rates` for the USD table, `convert` for one pair or amount, and `get_history` for a time series. Omitting `date` returns the latest available snapshot, which is not necessarily today. Returns `{ base, date, rates }`; an unsupported base or a date with no snapshot is a 404. Requires a signed-in connection; each successful call bills 1 API request.

  ConnectorNo auth

• list_tablesA

  Drillr — The financial MCP for AI agentsA

  List alternative-data tables under the given categories. Returns each table's name, one-line purpose, and column names (call get_table_schema if you need column types/comments). Batch up to 5 categories in one call; omit categories, or pass ["all"], to get the category index instead. Use this BEFORE run_sql when you want to explore alt-data — run_sql alone won't tell you which tables exist. Available categories: - Energy & Power — US power plants, electricity prices, regional hourly generation/demand - Data Centers — facilities, GPU clusters, cooling - Semiconductors — AI chip specs, sales, ownership, foundry revenue, customs trade - Compute Pricing — GPU rental, cloud VM spot/on-demand, instance specs - Model Development — model specs, benchmarks, AI companies, AI polling, LLM arena - Inference Economics — LLM API pricing across providers - Macro & Trade — UN Comtrade, US Census trade flows, FRED macro series - Prediction Markets — Polymarket and Kalshi events, markets, trades, daily aggregates - Critical Minerals — USGS mineral deposits, country supply, critical materials

  ConnectorOAuth

• slovenia-cadastral-deepA

  geoagenticA

  Deep parcel and building analysis for Slovenia using GURS WFS data. Returns zoning, actual use, heritage protection, road access, buildings on parcel, and utilities. USE FOR: - "Analyze parcel 3086 in Ljubljana center" - "Find buildable parcels ~500m² in Ljubljana" - "What buildings are on this parcel?" - "Find parcels near these coordinates" - "Get full details on building 1234" NOT FOR: simple parcel lookup → use slovenia-cadastre instead (faster, lighter). NOT FOR: spatial/zoning map queries → use slovenia-wfs-expert instead. SEARCH MODES — pick ONE per call: 1. PARCEL BY NUMBER (requires --parcel AND --ko) → --parcel 3086 --ko 1725 2. LOCATION SEARCH (requires --lat AND --lon, or --location) → --lat 46.058 --lon 14.501 --radius 100 → --location "Tivoli Park Ljubljana" --radius 200 3. BUILDING BY NUMBER (requires --building, optionally --ko) → --building 1234 --ko 1728 4. COMMUNITY SEARCH (requires at least --community or --size) → --community LJUBLJANA --size 500 --buildable COMMON KO IDs: 1725 = Ljubljana center 1728 = Ljubljana Šiška 1740 = Ljubljana Bežigrad 2131 = Maribor NOTE: This tool makes multiple WFS calls per result and can be slow (10-30s). Use --limit to keep response times reasonable.

  ConnectorNo auth

• tax_rateA

  QinisoA

  USE THIS before calculating VAT or sales tax on an invoice/quote — never recall the rate from memory, it is DATE-SENSITIVE. GB returns the UK standard VAT rate that applied on the given date (handles historical/temporary changes). US has no national VAT (returns 0); pass a state code for the state base sales-tax rate. Always pass the invoice date for GB.

  ConnectorNo auth