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601,696 tools. Updated 2026-09-23 04:35

"Using Gemini for execution and Claude for problem-solving" matching MCP tools:

  • Read one retained AI response using an executionId from devtune_list_visibility_responses, with structured sponsored ads labelled separately from the organic answer. Returns null if the execution is outside this project. retained=false means the raw response has expired, not that no ads were displayed. Use visibility summary for rollup-backed advertising rates.
    ConnectorAPI key
  • Recommends business / strategy / risk frameworks for a stated problem. Powered by the Jeda.ai · Visual AI framework knowledge graph (~2,100 frameworks across 19 categories, edge-curated). Use when the user describes a business problem ("customer churn rising", "evaluating market entry", "need to assess vendor risk") rather than naming a specific framework. Returns top-N frameworks ranked by fit, each with a concrete reason citing the specific problem signals matched. Input: just the problem statement is enough. Optional faceted filters (`persona`, `regulation`, `decision_stage`) narrow the candidate set. Set `limit` between 3 and 10 for picker UIs. Pair with `generate_framework_analysis` to actually run a recommended framework against the user's inputs. Example: { "problem_statement": "We need to decide whether to enter the EU SMB market in Q3", "decision_stage": "decide", "limit": 5 }
    ConnectorNo auth
  • Summon a LIVE panel of frontier models (Claude, GPT-4o, Gemini, Grok, DeepSeek) on one open question — verbatim answers, uncurated, plus the named tensions between them. Slow (~30–40s, synchronous) and expensive: use only for genuinely contested questions an existing omnarai_divergence record doesn't cover. Every run mints a new divergence record.
    ConnectorNo auth
  • [OPEN TRIAGE / INTAKE] Use misakanet_submit_intake when you only have a partial failure description or want to ask a question; use misakanet_write_lesson (Bearer required) once you already have structured title/domain/problem/root_cause/fix. submit_intake is open, rate-limited, no Bearer — output is a GitHub issue (intake,mcp-intake,pending-review) for maintainer triage, NOT a merged lesson. Routing: if you are ASKING a how-to / knowledge question (not reporting a failure), set kind="question" — it opens a [Question] issue that maintainers answer/FAQ instead of scoring it as a lesson. If kind is omitted, the server auto-detects question-shaped content (no error/fix/verification + question phrasing). Pull answers later: questions are answered asynchronously (hours to days). Re-call this tool with the SAME problem text later — the dedup response returns the maintainer's answer once it exists ({answered:true, answer}); or re-run misakanet_search on the topic for FAQ hits. Returns: object {submitted: boolean, intake_id, status, redactions_applied, quality_score, receipt, routing:{kind, auto_detected}, follow_up?}; duplicates: {submitted: false, duplicate: true, previous_issue} or {answered: true, answer} for answered questions. Example: misakanet_submit_intake(kind='missing_lesson', problem='pip install times out behind corporate proxy', source='claude-code'); misakanet_submit_intake(kind='question', problem='How do I configure MCP auth in production?', source='claude-code')
    ConnectorNo auth
  • Score how each AI model talks about a brand: positive/neutral/negative with driving phrases, plus an aggregate. Covers AI-search, citation, SEO, keyword, trend, and market-research data. If a plan needs more than 20 endpoint calls or may use more than $5 USD, estimate the cost in USD and ask the user before continuing. Quote Cite42 costs and balances in USD using cite42Billing or the USD pricing table. Legacy credit fields are for compatibility only. These funds belong to Cite42, not the host or model provider. Free: cite42_balance for the remaining balance, cite42_pricing for exact per-tool prices and cost estimates, cite42_usage for recent calls, spend, and limits. Pricing is per selected AI surface. Omitting models queries the three default surfaces (chatgpt, perplexity, gemini); fullSweep: true queries all five, adding claude and google_ai_overview at a higher cost. Use the models field when the user names a surface or asks to reduce spending, and call cite42_pricing for exact current rates.
    ConnectorOAuth
  • Reference text on greenfield analysis — clean-slate facility-location math. Covers the weighted center-of-gravity (Weber) formulation, Weiszfeld's iterative algorithm, Lloyd's-style alternating location-allocation for N facilities, service constraints (% demand vs % customers within a distance band), and the inverse problem of solving for minimum N. Also covers when to use greenfield vs facility selection (the open/close MIP). Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does greenfield analysis work' or 'where would I put my DCs' question. ChiAha's GreenfieldAnalysis engine powers the US Greenfield Design demo on the sandbox.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    A
    quality
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    maintenance
    Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.
    3
    Apache 2.0
  • F
    license
    A
    quality
    C
    maintenance
    Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.
    8
    -

Matching MCP Connectors

  • Validate ClaudeBot and Claude-SearchBot IP addresses. Remote MCP validate_ip tool.

  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Returns the complete setup and usage guide for SwapWizard. Call this FIRST before using any other tool. Covers: required configuration (API key, Alchemy RPC URL, private key), how to use poolId correctly, step-by-step operational flows for swap/zap in/zap out/analyze, transaction execution details, and approval rules.
    ConnectorNo auth
  • List the four pre-built QueueSim scenarios. Returns key, title, and one-line description for each (Single Server, Coffee Shop, Grocery Checkout, Call Center). Call this when the user's problem matches one of the preset shapes — use describe_scenario for more detail and simulate_scenario to run one.
    ConnectorNo auth
  • Returns the complete setup and usage guide for SwapWizard. Call this FIRST before using any other tool. Covers: required configuration (API key, Alchemy RPC URL, private key), how to use poolId correctly, step-by-step operational flows for swap/zap in/zap out/analyze, transaction execution details, and approval rules.
    ConnectorNo auth
  • Return the IBAN format specification for a country, covering 90 supported IBAN-using countries. Returns JSON describing the country's total IBAN length, the BBAN layout (bank code, branch code, and account number positions and lengths), an example IBAN, and the SEPA-membership flag. Use this to understand or display how a country's IBAN is structured, to build input masks, or to explain a validation failure, not to validate a specific number (use `validate_iban` for that). An unsupported or unknown country code returns an error result describing the problem.
    ConnectorNo auth
  • Use this when you have four of the five time-value-of-money variables (N periods, I/Y annual rate percent, PV, PMT, FV) and need the fifth - annuity, loan, or investment problems - instead of solving the equation by hand. Solving for I/Y uses Newton-Raphson (no closed form). Supports compoundingPerYear and annuityDue (payments at the beginning of each period). Follows the cash-flow sign convention (outflows negative). Deterministic: same input, same output. Example: solveFor 'fv', n 120, iy 6, pv -10000, pmt -200, compoundingPerYear 12 -> result 50969.84. result holds the solved value; iy is rounded to 4 decimals, all others to 2.
    ConnectorNo auth
  • Text generation against the writing-model catalog (Claude, Gemini, GPT, Llama, DeepSeek…) — ad copy, hooks, scripts, rewrites, brainstorms. Prompt-only, no ad assembly (for a finished on-brand creative use plan_ad -> render_ad). BY DEFAULT the model answers as a marketing copywriter (a short house system prompt is applied, which is what you want for ad copy); pass raw:true for a plain, unstyled answer from the model itself with NO system prompt at all. model = a writing-model id from hermoso_capabilities (omit for the default Claude orchestrator). Paid (a credit or two by length).
    ConnectorNo auth
  • Self-test the MCP server: reports whether the DB pool and execution receiver are reachable. Use to distinguish a backend/infra problem from a bad-input error. Returns: {status: healthy|degraded, checks: {database, receiver}}.
    ConnectorOAuth
  • Create a persistent error-to-fix entry for a fix you personally verified in this session. Requires an API key and consumes the client rate limit. Use corrobyte_create_thread for an unsolved problem and corrobyte_create_reply for discussion of an existing thread. New-tier submissions may be held from default search until trusted, upvoted, or moderator-approved.
    ConnectorNo auth
  • Call cc.external_signal — Public-facing webhook endpoint for TradingView alerts, custom bots, and third-party signal providers. Normalizes and forwards to execution. Purpose: Public-facing webhook endpoint for TradingView alerts, custom bots, and third-party signal providers. Normalizes and forwards to execution. Behavior: DESTRUCTIVE. Normalizes the signal and routes toward trade execution for the authenticated account. Can open/close positions. Auth: X-Api-Key required (and linked exchange credentials for execution actions). Cost: $0.005 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: 60/min (per API key). Tier: standard. Returns: Proxied execution response: signal received, validated, normalized, and forwarded to trade engine. Guidelines: Use for research / signal context. Pair with cc.agent_strategy (paper) before any live order. Do not invent fills from this data alone. Tags: webhook, tradingview, alerts, automation, signals.
    Connector
    Destructive
    No auth
  • Call cc.external_signal — Public-facing webhook endpoint for TradingView alerts, custom bots, and third-party signal providers. Normalizes and forwards to execution. Purpose: Public-facing webhook endpoint for TradingView alerts, custom bots, and third-party signal providers. Normalizes and forwards to execution. Behavior: DESTRUCTIVE. Normalizes the signal and routes toward trade execution for the authenticated account. Can open/close positions. Auth: X-Api-Key required (and linked exchange credentials for execution actions). Cost: $0.005 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: 60/min (per API key). Tier: standard. Returns: Proxied execution response: signal received, validated, normalized, and forwarded to trade engine. Guidelines: Use for research / signal context. Pair with cc.agent_strategy (paper) before any live order. Do not invent fills from this data alone. Tags: webhook, tradingview, alerts, automation, signals.
    Connector
    Destructive
    No auth
  • Count the exact number of tokens in a text string for a specific AI model. Uses tiktoken for OpenAI models and estimates for others. Args: text: The text to count tokens for model: The AI model to count tokens for. Options: gpt-4o, gpt-4o-mini, gpt-4.1, claude-sonnet, claude-haiku, gemini-pro, gemini-flash, llama-4, deepseek-v3, mistral-large. Default: gpt-4o Returns: Token count information including count, context window, and fit status
    ConnectorNo auth
  • Generate an AI image from a text prompt using Claude Imagine credits. Returns the image inline plus its full-resolution URL. To change an existing image, use edit_image. For a YouTube thumbnail, book cover, album or podcast cover, poster, blog cover or product photo, call list_styles first and pass one of its ids as style.
    Connector
    Destructive
    OAuth
  • Run the content-opportunities workflow: fan out across AI search, SEO keywords, trends, Reddit, YouTube, and citations and return the aggregated data. Covers AI-search, citation, SEO, keyword, trend, and market-research data. If a plan needs more than 20 endpoint calls or may use more than $5 USD, estimate the cost in USD and ask the user before continuing. Quote Cite42 costs and balances in USD using cite42Billing or the USD pricing table. Legacy credit fields are for compatibility only. These funds belong to Cite42, not the host or model provider. Free: cite42_balance for the remaining balance, cite42_pricing for exact per-tool prices and cost estimates, cite42_usage for recent calls, spend, and limits. Pricing is per selected AI surface. Omitting models queries the three default surfaces (chatgpt, perplexity, gemini); fullSweep: true queries all five, adding claude and google_ai_overview at a higher cost. Use the models field when the user names a surface or asks to reduce spending, and call cite42_pricing for exact current rates. Data tools have flat per-call prices; call cite42_pricing for exact current rates. Pricing: workflow cost is calculated from the tools that run successfully and the selected model rates.
    ConnectorOAuth
  • Run the content-brief workflow: AI answers, citations, SEO keyword demand, trends, Reddit, and YouTube signals aggregated into brief-ready data. Covers AI-search, citation, SEO, keyword, trend, and market-research data. If a plan needs more than 20 endpoint calls or may use more than $5 USD, estimate the cost in USD and ask the user before continuing. Quote Cite42 costs and balances in USD using cite42Billing or the USD pricing table. Legacy credit fields are for compatibility only. These funds belong to Cite42, not the host or model provider. Free: cite42_balance for the remaining balance, cite42_pricing for exact per-tool prices and cost estimates, cite42_usage for recent calls, spend, and limits. Pricing is per selected AI surface. Omitting models queries the three default surfaces (chatgpt, perplexity, gemini); fullSweep: true queries all five, adding claude and google_ai_overview at a higher cost. Use the models field when the user names a surface or asks to reduce spending, and call cite42_pricing for exact current rates. Data tools have flat per-call prices; call cite42_pricing for exact current rates. Pricing: workflow cost is calculated from the tools that run successfully and the selected model rates.
    ConnectorOAuth