MCP Server

DadosBR AI Integration

Turn DadosBR into an execution layer for Pickaxe so your AI can automate scheduling workflows. Keep momentum without constant copy-paste between tools.

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DadosBR

Capabilities

5 capabilities

cnpj_lookup

Look up Brazilian company information by CNPJ number

Type: string

cep_lookup

Look up Brazilian postal code information by CEP

Type: string

cnpj_search

Search the web for information about Brazilian companies, CNPJ numbers, people, and more using DuckDuckGo. This tool supports advanced search operators: - site:example.com - Search within a specific domain - intext:"exact phrase" - Find exact text in page body - intitle:keyword - Find keyword in page title - inurl:keyword - Find keyword in URL - filetype:pdf - Search for specific file types (pdf, xls, doc, etc.) - "exact phrase" - Search for exact phrase - keyword1 OR keyword2 - Search for either keyword - -exclude - Exclude a term from results Common use cases: - Find company information: "CNPJ site:gov.br" - Search legal cases: "razao social site:jusbrasil.com.br" - Find documents: "CNPJ filetype:pdf" - Search social media: "company name site:linkedin.com" - Government records: "CNPJ site:transparencia.gov.br" Examples: - cnpj_search({ query: "28526270000150 site:gov.br", max_results: 10 }) - cnpj_search({ query: ""CRISTIANO AREDES" intext:CNPJ" }) - cnpj_search({ query: "site:jusbrasil.com.br "AC SOLUCOES"" })

Type: string

sequentialthinking

A detailed tool for dynamic and reflective problem-solving through thoughts. This tool helps analyze problems through a flexible thinking process that can adapt and evolve. Each thought can build on, question, or revise previous insights as understanding deepens. When to use this tool: - Breaking down complex problems into steps - Planning and design with room for revision - Analysis that might need course correction - Problems where the full scope might not be clear initially - Problems that require a multi-step solution - Tasks that need to maintain context over multiple steps - Situations where irrelevant information needs to be filtered out Key features: - You can adjust total_thoughts up or down as you progress - You can question or revise previous thoughts - You can add more thoughts even after reaching what seemed like the end - You can express uncertainty and explore alternative approaches - Not every thought needs to build linearly - you can branch or backtrack - Generates a solution hypothesis - Verifies the hypothesis based on the Chain of Thought steps - Repeats the process until satisfied - Provides a correct answer Parameters explained: - thought: Your current thinking step, which can include: * Regular analytical steps * Revisions of previous thoughts * Questions about previous decisions * Realizations about needing more analysis * Changes in approach * Hypothesis generation * Hypothesis verification - next_thought_needed: True if you need more thinking, even if at what seemed like the end - thought_number: Current number in sequence (can go beyond initial total if needed) - total_thoughts: Current estimate of thoughts needed (can be adjusted up/down) - is_revision: A boolean indicating if this thought revises previous thinking - revises_thought: If is_revision is true, which thought number is being reconsidered - branch_from_thought: If branching, which thought number is the branching point - branch_id: Identifier for the current branch (if any) - needs_more_thoughts: If reaching end but realizing more thoughts needed You should: 1. Start with an initial estimate of needed thoughts, but be ready to adjust 2. Feel free to question or revise previous thoughts 3. Don't hesitate to add more thoughts if needed, even at the "end" 4. Express uncertainty when present 5. Mark thoughts that revise previous thinking or branch into new paths 6. Ignore information that is irrelevant to the current step 7. Generate a solution hypothesis when appropriate 8. Verify the hypothesis based on the Chain of Thought steps 9. Repeat the process until satisfied with the solution 10. Provide a single, ideally correct answer as the final output 11. Only set next_thought_needed to false when truly done and a satisfactory answer is reached

Type: string

cnpj_intelligence

Intelligent automatic search about a Brazilian company using CNPJ.

Type: string

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