DataCrazy MCP Server

by mcp-dir Your server? Claim it

answering

DataCrazy is answering right now. Last checked 10 min ago. It exposes 70 tools. Last commit 21 Aug 2026.

DataCrazy omnichannel CRM (WhatsApp, Instagram, Facebook) via the official API: leads, deals, pipeli

Uptime history 56 days of history · worst day 92%

56 days agonow

100.0%

Uptime 24h

92 of 92 checks

Tools

read from the server

1853 ms

Response time

average over 24h

Stars

last commit 21 Aug 2026

What changed 73

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 22 August 2026. No other catalogue keeps this.

11 Oct a tool changed version2 times that day

8 Oct a tool changed version

6 Oct a tool changed version3 times that day

3 Oct a tool changed version

2 Oct a tool changed version2 times that day

1 Oct a tool changed version

13 Sep a tool changed version

9 Sep a tool changed version

7 Sep a tool changed version

6 Sep a tool changed version

and 63 more, back to 22 August 2026

DataCrazy does not always answer

Over the last week it answered 98.1% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add datacrazy-mcp --transport http https://api.mcp.ai/p_datacrazy

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "datacrazy-mcp": {
      "url": "https://api.mcp.ai/p_datacrazy"
    }
  }
}

~/.codex/config.toml

[mcp_servers.datacrazy-mcp]
url = "https://api.mcp.ai/p_datacrazy"

.cursor/mcp.json

{
  "mcpServers": {
    "datacrazy-mcp": {
      "url": "https://api.mcp.ai/p_datacrazy"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "datacrazy-mcp": {
      "url": "https://api.mcp.ai/p_datacrazy"
    }
  }
}

Available tools 70

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

datacrazy

datacrazy_activities_create

Criar atividade (POST /api/v1/activities). [write, altera dados]

datacrazy_activities_delete

Excluir atividade (DELETE /api/v1/activities/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_activities_get

Buscar atividade por ID (GET /api/v1/activities/{id}). Bulk support: accepts ids for batched execution.

datacrazy_activities_list

Buscar atividades (GET /api/v1/activities).

datacrazy_activities_patch

Atualizar atividade (PATCH /api/v1/activities/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_attendants_crm_get

Buscar atendente por ID (CRM) (GET /api/v1/attendants/crm/{id}). Bulk support: accepts ids for batched execution.

datacrazy_attendants_crm_list

Buscar atendentes (CRM) (GET /api/v1/attendants/crm).

datacrazy_attendants_multi_get

Buscar atendente por ID (multiatendimento) (GET /api/v1/attendants/multi/{id}). Bulk support: accepts ids for batched execution.

datacrazy_attendants_multi_list

Buscar atendentes (multiatendimento) (GET /api/v1/attendants/multi).

datacrazy_business_loss_reasons_create

Criar motivo de perda (POST /api/v1/business-loss-reasons). [write, altera dados]

datacrazy_business_loss_reasons_delete

Excluir motivo de perda (DELETE /api/v1/business-loss-reasons/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_business_loss_reasons_get

Buscar motivos de perda por ID (GET /api/v1/business-loss-reasons/{id}). Bulk support: accepts ids for batched execution.

datacrazy_business_loss_reasons_list

Buscar motivos de perda (GET /api/v1/business-loss-reasons).

datacrazy_business_loss_reasons_update

Atualizar motivo de perda (PUT /api/v1/business-loss-reasons/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_businesses_actions_lose_create

Perder negócios (POST /api/v1/businesses/actions/lose). [write, altera dados]

datacrazy_businesses_actions_move_create

Mover negócios (POST /api/v1/businesses/actions/move). [write, altera dados]

datacrazy_businesses_actions_restore_create

Restaurar negócios (POST /api/v1/businesses/actions/restore). [write, altera dados]

datacrazy_businesses_actions_win_create

Ganhar negócios (POST /api/v1/businesses/actions/win). [write, altera dados]

datacrazy_businesses_create

Criar negócio (POST /api/v1/businesses). [write, altera dados]

datacrazy_businesses_delete

Excluir negócio (DELETE /api/v1/businesses/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_businesses_get

Buscar negócio por ID (GET /api/v1/businesses/{id}). Bulk support: accepts ids for batched execution.

datacrazy_businesses_list

Buscar negócios (GET /api/v1/businesses).

datacrazy_businesses_patch

Atualizar negócio (PATCH /api/v1/businesses/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_conversations_finish_create

Finalizar atendimento (POST /api/v1/conversations/{id}/finish). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_conversations_list

Buscar conversas (GET /api/v1/conversations).

datacrazy_conversations_messages_create

Enviar mensagem para uma conversa (POST /api/v1/conversations/{id}/messages). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_conversations_messages_list

Buscar conversa por ID (GET /api/v1/conversations/{id}/messages). Bulk support: accepts ids for batched execution.

datacrazy_instances_get

Buscar instancia por ID (GET /api/v1/instances/{id}). Bulk support: accepts ids for batched execution.

datacrazy_instances_list

Buscar instancias (GET /api/v1/instances).

datacrazy_leads_activities_list

Buscar as atividades do lead (GET /api/v1/leads/{id}/activities). Bulk support: accepts ids for batched execution.

datacrazy_leads_additional_fields_create

Criar lead com campos adicionais (POST /api/v1/leads/additional-fields). [write, altera dados]

datacrazy_leads_attachments_create

Anexar arquivo ao lead (POST /api/v1/leads/{leadId}/attachments). [write, altera dados]

datacrazy_leads_attachments_delete

Apagar arquivo anexado ao lead (DELETE /api/v1/leads/{leadId}/attachments/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_leads_attachments_list

Buscar os arquivos anexados ao lead (GET /api/v1/leads/{leadId}/attachments).

datacrazy_leads_businesses_list

Buscar os negocios do lead (GET /api/v1/leads/{id}/businesses). Bulk support: accepts ids for batched execution.

datacrazy_leads_create

Criar lead (POST /api/v1/leads). [write, altera dados]

datacrazy_leads_delete

Excluir lead (DELETE /api/v1/leads/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_leads_get

Buscar lead por ID (GET /api/v1/leads/{id}). Bulk support: accepts ids for batched execution.

datacrazy_leads_history_list

Buscar histórico do lead (GET /api/v1/leads/{id}/history). Bulk support: accepts ids for batched execution.

datacrazy_leads_list

Buscar leads (GET /api/v1/leads).

datacrazy_leads_notes_create

Adicionar comentário (POST /api/v1/leads/{leadId}/notes). [write, altera dados]

datacrazy_leads_notes_delete

Excluir comentário do lead (DELETE /api/v1/leads/{leadId}/notes/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_leads_notes_list

Buscar comentários do lead (GET /api/v1/leads/{leadId}/notes).

datacrazy_leads_notes_update

Atualizar comentário do lead (PUT /api/v1/leads/{leadId}/notes/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_leads_patch

Atualizar lead (PATCH /api/v1/leads/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_list_accounts

Lista as conexões (contas) DataCrazy vinculadas a este install — id, label.

datacrazy_lists_create

Criar lista (POST /api/v1/lists). [write, altera dados]

datacrazy_lists_delete

Excluir lista (DELETE /api/v1/lists/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_lists_get

Buscar lista por ID (GET /api/v1/lists/{id}). Bulk support: accepts ids for batched execution.

datacrazy_lists_list

Buscar listas (GET /api/v1/lists).

datacrazy_lists_update

Atualizar lista (PUT /api/v1/lists/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_pipelines_get

Buscar pipeline por ID (GET /api/v1/pipelines/{id}). Bulk support: accepts ids for batched execution.

datacrazy_pipelines_list

Buscar pipelines (GET /api/v1/pipelines).

datacrazy_pipelines_stages_list

Buscar etapas da pipeline (GET /api/v1/pipelines/{id}/stages). Bulk support: accepts ids for batched execution.

datacrazy_products_create

Criar produto (POST /api/v1/products). [write, altera dados]

datacrazy_products_delete

Excluir produto (DELETE /api/v1/products/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_products_get

Buscar produto (GET /api/v1/products/{id}). Bulk support: accepts ids for batched execution.

datacrazy_products_list

Buscar produtos (GET /api/v1/products).

datacrazy_products_update

Atualizar produto (PUT /api/v1/products/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_tags_create

Criar tag (POST /api/v1/tags). [write, altera dados]

datacrazy_tags_delete

Excluir tag (DELETE /api/v1/tags/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

datacrazy_tags_get

Buscar tag por ID (GET /api/v1/tags/{id}). Bulk support: accepts ids for batched execution.

datacrazy_tags_list

Buscar tags (GET /api/v1/tags).

datacrazy_tags_update

Atualizar tag (PUT /api/v1/tags/{id}). [write, altera dados] Bulk support: accepts ids for batched execution.

authenticate

authenticate

MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link.

connect

connect

Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs.

marketplace

marketplace

The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.

report

report_bug

Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.

show

show_version

Show the current MCP platform and adapter versions.

toolkit

toolkit_info

Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.

Endpoints

URL	Transport	State	Latency	Checked
https://api.mcp.ai/p_datacrazy	streamable-http	answering	1652 ms	10 min ago

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DataCrazy — questions

Answers built from our own checks of this server.

What can DataCrazy do?

It exposes 70 tools, read directly from the server on our last check. Among them: authenticate, connect, datacrazy_activities_create, datacrazy_activities_delete, datacrazy_activities_get, datacrazy_activities_list and 64 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is DataCrazy working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 1853 ms. The bar chart above shows every period we have measured.

How do I connect DataCrazy?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does DataCrazy need an API key?

No. DataCrazy completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 70 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is DataCrazy?

It answers our handshake in 1853 ms on average, which is faster than 1% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is DataCrazy open source?

Yes — it is published under the MIT licence and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.