"Methods to Improve Development Productivity Using MPC (Model Predictive Control)" matching MCP tools:

• optimize_promptA

  pqs-mcp-serverA

  Rewrite a prompt to score higher on the PQS rubric, AND show before/after output comparisons so the user can see the impact. Returns the optimized prompt, the original PQS score, the optimized PQS score, and side-by-side sample outputs from a frontier model using both versions. USE WHEN: - The user got a low score from score_prompt and asks how to improve. - The user explicitly asks to "improve" / "rewrite" / "fix" / "optimize" a prompt they pasted. - The user is dissatisfied with output quality from a previous prompt and asks how to get better results. - score_prompt returned a suggestion to invoke this tool. DO NOT USE WHEN: - The user just asked for a score (use score_prompt only — don't double up). - The user wants you to write a new prompt from scratch (write it directly). REQUIRES: A PQS API key from a Pro subscription ($19.99/month, 1,000 calls/mo, includes batch + A/B comparison). If the user has not provided one, the tool returns a clear subscription URL — pass that response to the user verbatim. Do not invent or guess API keys. There is no free trial of this tool; the user must subscribe before the first call. COST: Counted against your Pro subscription's monthly call quota. LATENCY: ~6-8 seconds.

  ConnectorNo auth

• optimize_promptA

  PQS - Prompt Quality ScoreA

  Rewrite a prompt to score higher on the PQS rubric, AND show before/after output comparisons so the user can see the impact. Returns the optimized prompt, the original PQS score, the optimized PQS score, and side-by-side sample outputs from a frontier model using both versions. USE WHEN: - The user got a low score from score_prompt and asks how to improve. - The user explicitly asks to "improve" / "rewrite" / "fix" / "optimize" a prompt they pasted. - The user is dissatisfied with output quality from a previous prompt and asks how to get better results. - score_prompt returned a suggestion to invoke this tool. DO NOT USE WHEN: - The user just asked for a score (use score_prompt only — don't double up). - The user wants you to write a new prompt from scratch (write it directly). REQUIRES: A PQS API key from a Pro subscription ($19.99/month, 1,000 calls/mo, includes batch + A/B comparison). If the user has not provided one, the tool returns a clear subscription URL — pass that response to the user verbatim. Do not invent or guess API keys. There is no free trial of this tool; the user must subscribe before the first call. COST: Counted against your Pro subscription's monthly call quota. LATENCY: ~6-8 seconds.

  ConnectorNo auth

• tailor_resume_toolA

  WorkopiaA

  Tailor a resume to a SPECIFIC job — TWO steps. STEP 1 (default; action omitted or 'prepare'): the server returns the job's full JD, its must-have skills/requirements, and the candidate's current resume, plus tailoring instructions. YOU (the model) then WRITE the tailored resume as JSON Resume, following the instructions — weave JD keywords into existing bullets only where the candidate genuinely has the experience, never fabricate experience/titles/dates/employers, keep all dates and company names, and flag any keyword you couldn't honestly add. STEP 2: call this tool again with action:'save', tailored_resume:<your JSON Resume>, and job_id — the server renders a PDF and saves it to the candidate's Workopia dashboard (requires sign-in). Use whenever the user references a specific job to tailor for: 'tailor for #1', 'for Morgan Stanley', 'tailor my resume for this role: <JD>'. Resolving job_id (same rules as job_detail_tool): from the most recent prior search/refine result — (a) numeric/ordinal → the Nth job; (b) company name → Company-field match; (c) role/title phrase → Job-Title match — then pass that job's **Job Id** value VERBATIM. Do NOT use placeholders like 'JOB_1' or '#1'. For STEP 1 supply ONE of job_id (preferred — server fetches the JD from Mongo) OR job_description, plus the candidate's resume via resume_text / resume_content / resume_data. For general 'improve my resume' (no specific job), do NOT call this tool — call resume_tool action=improve instead. Note: the tailored resume is written by your AI client's own model — the assistant you are already using — so it works out of the box with nothing to configure; Workopia runs no LLM of its own and never charges for the AI.

  Connector

  Destructive

  No auth

• tailor_resume_toolA

  Workopia — Job SearchA

  Tailor a resume to a SPECIFIC job — TWO steps. STEP 1 (default; action omitted or 'prepare'): the server returns the job's full JD, its must-have skills/requirements, and the candidate's current resume, plus tailoring instructions. YOU (the model) then WRITE the tailored resume as JSON Resume, following the instructions — weave JD keywords into existing bullets only where the candidate genuinely has the experience, never fabricate experience/titles/dates/employers, keep all dates and company names, and flag any keyword you couldn't honestly add. STEP 2: call this tool again with action:'save', tailored_resume:<your JSON Resume>, and job_id — the server renders a PDF and saves it to the candidate's Workopia dashboard (requires sign-in). Use whenever the user references a specific job to tailor for: 'tailor for #1', 'for Morgan Stanley', 'tailor my resume for this role: <JD>'. Resolving job_id (same rules as job_detail_tool): from the most recent prior search/refine result — (a) numeric/ordinal → the Nth job; (b) company name → Company-field match; (c) role/title phrase → Job-Title match — then pass that job's **Job Id** value VERBATIM. Do NOT use placeholders like 'JOB_1' or '#1'. For STEP 1 supply ONE of job_id (preferred — server fetches the JD from Mongo) OR job_description, plus the candidate's resume via resume_text / resume_content / resume_data. For general 'improve my resume' (no specific job), do NOT call this tool — call resume_tool action=improve instead. Note: the tailored resume is written by your AI client's own model — the assistant you are already using — so it works out of the box with nothing to configure; Workopia runs no LLM of its own and never charges for the AI.

  Connector

  Destructive

  No auth

• change_startup_stageA

  BetaFindsA

  Change your startup's product stage: PRELAUNCH — preparing to launch, BETA — recruiting beta testers, PAUSED — development paused (requires public_note). To move to LAUNCHED use announce_launch. Allowed transitions: PRELAUNCH→BETA/PAUSED, BETA→PAUSED, PAUSED→PRELAUNCH/BETA.

  ConnectorNo auth

• minfraud_report_transactionA

  maxmind-minfraudA

  WRITE — submits fraud feedback to MaxMind. Report the real-world outcome of a transaction (e.g. it was a chargeback or confirmed fraud) so minFraud can improve future scoring. This mutates MaxMind's model of your traffic; it is not a read. Requires a `tag` and at least one identifier (ip_address, maxmind_id, minfraud_id, or transaction_id). API: POST /minfraud/v2.0/transactions/report (returns HTTP 204).

  Connector

  Destructive

  No auth

• get_cpln_rulesA

  Control PlaneA

  Returns the Control Plane operating guide — the resource model, how secrets/images/workloads/domains fit together, production-grade defaults, how to verify a change landed, and how to handle failures. Read it once per session before the first create/update/delete, and any time a multi-resource task spans unfamiliar ground.

  ConnectorOAuth

• discoverA

  AgentMarketplaceA

  Discover AgentMarketplace's capabilities, tools, auth methods, and scopes. Call this first when connecting to AgentMarketplace to understand what's available and how to authenticate. No authentication required. Returns a catalog of available tools, resources, auth methods, and scopes.

  ConnectorNo auth

• suggest_refactoringA

  ALM X++ MCP ServerA

  WHEN: developer wants to improve code quality before a PR merge or code review. Triggers: 'refactor', 'clean up', 'simplify', 'too long method', 'nested ifs', 'code smells', 'améliorer le code'. Suggest concrete refactoring actions for YOUR custom D365 F&O X++ code. [!] Only runs on custom/extension code (D365_CUSTOM_MODEL_PATH). Refactoring standard Microsoft code is not actionable. Analyzes: long methods (extract method), deep nesting (guard clauses), row-by-row operations (set-based), large switch statements (strategy pattern), hardcoded strings (constants), unprotected CLR calls (error handling), wide transactions (narrow scope). Returns before/after code examples.

  ConnectorNo auth

• discoverA

  ToolRouterB

  Find the right ToolRouter tool for your task. Describe what you need in plain language. Examples: "analyze a website", "research competitors", "find prospect companies", "check DNS records". Exact tool name (e.g. "seo") returns full schemas and examples. Flow: prefer route({ intent }) to pick and run a tool. Use discover when you need schemas or a listing, then call use_tool(tool, skill, input). Every discover response also includes a top-level `connectors` array listing SaaS accounts the user has already connected (LinkedIn, Google, Notion, etc.). Use that to pick the right tool and account without asking — e.g. if `connectors` shows LinkedIn, the linkedin-post tool is ready to use. Categories: data, media, search, marketing, development, communication, analytics, productivity, ai, finance, security, infrastructure

  ConnectorNo auth

• accessibility_simulateA

  Colour MemoryA

  Return simulated hex values for full-severity protanopia, deuteranopia and tritanopia only, using the Machado, Oliveira & Fernandes (2009) model (severity 1.0, linear sRGB), with a flag when a simulated colour had to be clipped to sRGB. Anomalous trichromacy and partial severities are not simulated. A model prediction on a standard display, not how an individual perceives colour.

  ConnectorNo auth

• adw.adw_049A

  AlpineDataWorks Intelligence ServerB

  Returns a 0-100 US productivity-vs-labor-cost index (FRED nonfarm output per hour OPHNFB vs unit labor costs ULCNFB, z-score spread over a 36-quarter window, quarterly since 1949; >50 = productivity leading) with score, trend, confidence, top_drivers, productivity_yoy_pct, ulc_yoy_pct, and z-scores. Call when the user asks about labor productivity, unit labor costs, wage or cost squeeze, or margin pressure, or when timing earnings-growth and margin assumptions in sector models. Updates: quarterly.

  ConnectorNo auth

• adw.adw_517A

  AlpineDataWorks Intelligence ServerB

  Returns a 0-100 soil and land quality score for each of 3,222 US counties (composite of soil-productivity, erosion, and land-cover indicators from public sources) with score, national_percentile, ranked drivers, methodology_version, and confidence. Call when the user asks about local soil or farmland quality, land productivity, or growing conditions, or when timing farmland acquisition, lease pricing, project siting, or agricultural lending decisions. Updates: on source cadence.

  ConnectorNo auth

• accessibility_simulateA

  Colour MemoryA

  Return simulated hex values for full-severity protanopia, deuteranopia and tritanopia only, using the Machado, Oliveira & Fernandes (2009) model (severity 1.0, linear sRGB), with a flag when a simulated colour had to be clipped to sRGB. Anomalous trichromacy and partial severities are not simulated. A model prediction on a standard display, not how an individual perceives colour.

  ConnectorNo auth

• flipr_game_infoA

  flipr-x402A

  Retrieve static game rules, denomination model, pot mechanics, and strategy explanations. Free -- no payment required. Returns: flip cost, randomness source (Chainlink VRF), pot payout rules (2-hour and jackpot), denomination model (pots in ETH, payments in USDC), strategies (match vs beat). Call this first to understand the game before using other tools. [pricing: {"cost":"0","currency":"USDC","type":"free"}]

  ConnectorNo auth

• data_list_ordersA

  Kash.clickB

  List either: unvalidated orders (called quotes) with creation date between from_date_ISO8601 and to_date_ISO8601 OR validated orders (called orders, invoices) with date of value between from_date_ISO8601 and to_date_ISO8601. You can also filter delivery methods (using filterDeliveryMethod).

  ConnectorNo auth

• bls_list_surveysA

  bls-labor-mcp-serverA

  List BLS survey programs with their abbreviation codes, full names, and metadata about calculation support and annual averages. Use to discover which survey covers a topic before calling bls_search_series; bls_search_series covers only the surveys in its offline index, and series in the others are fetched by SeriesID with bls_get_series. Optional category filter narrows results to prices, employment, wages, productivity, injuries, or time_use surveys.

  ConnectorNo auth

• get_dependenciesA

  RubygemsA

  Get the runtime and development dependencies for a specific version of a Ruby gem. Returns each dependency with its version requirement string. Omit version to get the latest.

  ConnectorNo auth

• accessibility_simulateA

  Colour MemoryA

  Return simulated hex values for full-severity protanopia, deuteranopia and tritanopia only, using the Machado, Oliveira & Fernandes (2009) model (severity 1.0, linear sRGB), with a flag when a simulated colour had to be clipped to sRGB. Anomalous trichromacy and partial severities are not simulated. A model prediction on a standard display, not how an individual perceives colour.

  ConnectorNo auth

• searchA

  askA

  Search the Pinnacle Ask child-development knowledge corpus (pinnacleblooms.org/ask) — real parent questions with clinically grounded, non-diagnostic answers covering speech, motor, social, cognitive, sensory, feeding and behavioural development from birth to 18 years. Returns ranked results with ids; pass a result id to `fetch` for the full answer. Optionally filter by child age in months and/or developmental domain.

  ConnectorNo auth

• eventsA

  DC Member APIA

  GET /events — List upcoming events Returns upcoming DC events, sorted by date. Add `?past=true` to include past events. **See also:** For events by name or topic (`q='productivity'`, `q='DCBKK 2026'`), `POST /search/events` searches title + description directly — faster than paginating this date-sorted list. Combine with `?cityID`, `?country`, `?since`, `?until` filters for narrower scopes.

  ConnectorNo auth