Analytics + AI platform to see, understand, and act on your data. + 250 native connectors, contextual Ada.AI.
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For AI agents — MCPBundles Directory API
Recommended: Directory API v1 over HTTP for detail and anonymous invoke when eligible (not MCP JSON-RPC on the publisher URL; no user MCPBundles credentials on v1).
GET https://www.mcpbundles.com/api/directory/v1/servers/bimachine-mcp-51d526ea07
GET https://www.mcpbundles.com/api/directory/v1/servers/bimachine-mcp-51d526ea07?live=1 (optional live refresh)
GET https://www.mcpbundles.com/api/directory/v1/servers/bimachine-mcp-51d526ea07/tools/<tool> (one tool: schema + invoke.url)
POST https://www.mcpbundles.com/api/directory/v1/servers/bimachine-mcp-51d526ea07/tools/{tool}
POST body: flat JSON of tool argument names and values; not an arguments wrapper. Replace {tool} with a tool name from GET detail.
Restricted agent shell (ChatGPT Codex desktop, some IDE sandboxes):
Default command sandboxes often block outbound network. curl exit 6 or "Could not resolve host" for www.mcpbundles.com is usually sandbox DNS — not evidence this site is down.
Retry the same Directory API GET with sandbox_permissions "require_escalated" and a one-sentence justification on the shell tool (Codex on-request approval). Do not tell the user the site is unreachable from sandbox curl alone.
Example justification: Run the public MCPBundles Directory API search outside the command sandbox to complete the user's MCP server lookup.
If the agent has browser access (e.g. Codex @Browser): open https://www.mcpbundles.com/?q=<query> or stay on this page — no shell network needed. Use WebMCP search_mcp_servers then get_mcp_server (document.modelContext / page tools; refresh with fetchTools or getTools if a tool id is missing from the snapshot). Read-only directory search; same index as Directory API v1 GETs. Neither WebMCP nor Directory API v1 uses user MCPBundles credentials.
Without a browser: after escalated curl fails, use GET https://www.mcpbundles.com/?q=<query> with Accept: text/markdown for ranked results.
Hub MCP (connected session): discover_mcp_servers — same filter semantics as search_mcp_servers.
Contract: https://www.mcpbundles.com/agents.md
OpenAPI: https://www.mcpbundles.com/api/directory/v1/openapi.json
Guide: https://www.mcpbundles.com/guides/mcpbundles-directory-api
For MCP client apps (human connect):
MCP connect URL: https://mcp.bimachine.com/mcp
Skill page: https://www.mcpbundles.com/skills/bimachine-mcp-51d526ea07
Explore capabilities (31)
other 25
Showing 25 of 31
Showing 25 of 31 tools from the public preview. Connect the server to inspect the full live tool list.
List6
Object Get5
Get3
Delete2
Project2
Other capabilities7
Get App Token
other
get-app-token
Issues an AppToken for authenticated API calls on behalf of the current user; use only if an operation explicitly requires an AppToken or appKey cannot be used; returns AppTokenInfo with the token.
Get App Token — Issues an AppToken for authenticated API calls on behalf of the current user; use only if an operation explicitly requires an AppToken or appKey cannot be used; returns AppTokenInfo with the token.
Export Whatsapp — Sends a message, objects or both to the selected users through WhatsApp. Request must contain either a message, object or both. Always send the objects mentioned in the message.
Filter List Members — Returns members for the filter identified by filterId (each item has "value" and "label"); when applying filters to get-object or get-object-app-token, use the "value" property from the chosen members—never use "label", as it causes MDX errors.
Create Insight Schedule — Creates and schedules a personal insight to be sent periodically to the current user via WhatsApp or other messaging channels. This always creates a PERSONAL insight — it is sent exclusively to the user who is interacting, not to all users of the assistant. Use this tool when a user expresses interest in scheduling an insight for regular delivery. The name field is the user-facing title sent in the WhatsApp template; the optional description field is an LLM-only instruction for how to generate t
Delete Insight Schedule — Deactivates a PERSONAL insight schedule (turns it off; it stays in the list) with a two-step confirmation. Only PERSONAL insights can be changed — SHARED insights from the administrator cannot be deactivated here. First call without confirm to show schedule details. After the user confirms, call again with confirm=true. Authentication via AppToken (UUID) is required.
List Insight Schedules — Lists insight schedules visible to the current user. By default (no roleId), returns every schedule across all Ada AI assistant roles the user can access — both SHARED (admin-configured, read-only for the user) and PERSONAL (user-owned, editable/deletable). When roleId is provided, only schedules for that assistant role are returned. Each item includes type (SHARED or PERSONAL), assistant name, editable/deletable flags, id, name (WhatsApp title), description (LLM instruction), frequency, schedul
Get your MCP into directories
A working endpoint is step one. Directory coverage is the coordinated launch across ChatGPT, Claude, Cursor, the MCP Registry, and community indexes.
Analytics + AI platform to see, understand, and act on your data. + 250 native connectors, contextual Ada.AI.
How do I connect BIMachine to my AI agent?
Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.
How many tools does BIMachine provide?
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Update Insight Schedule — Updates an existing PERSONAL insight schedule with partial field updates. Only PERSONAL insights (created by the user) can be edited — SHARED insights configured by the administrator are read-only and cannot be changed here. Only the fields provided will be updated; all other fields will keep their current values. Use this tool when a user wants to modify an existing personal schedule (e.g., change time, frequency, or enable/disable it). You can update: name (title shown in WhatsApp), descriptio
Delete User Knowledge — Deactivates a user knowledge entry by its numeric id (it stays in the account but is no longer applied to Ada — same as "forget" / remove from context). The user can re-enable it later in Minha Ada.
Use ONLY when the user explicitly asks to remove or forget a saved preference. Never do this proactively. Call list-user-knowledge first to identify the id, then confirm which entry will be turned off (mention its name) before calling this.
List User Knowledge — Lists the user's saved knowledge/preferences. Returns lightweight metadata (id, roleId, name, useWhen, enabled, expiresAt) — NO content — to keep context lean. The numeric id is ONLY for your follow-up tool calls (read / save with id / delete-user-knowledge); it must never appear in what you say or write to the user.
USER-FACING REPLY — STRICT:
- When you summarize or list knowledge for the user, use name, "use when" context, active/inactive, and optional human-friendly expiry (e.g. "válido até
Read User Knowledge — Fetches the full content of a single user knowledge entry by its numeric id.
Use this ONLY as a targeted second step after list-user-knowledge, when you need to read the stored content to decide if it should be updated vs. left as-is. Do not call this for every entry — only when name/useWhen from the listing is ambiguous relative to a newly detected preference.
Save User Knowledge — Saves a personal preference or behavioral pattern learned about the user during conversation. Use this to make future interactions smarter and more personalized.
GOLDEN RULE — NEVER break the conversation flow:
Always complete the user's request (give the data, answer the question, run the analysis) BEFORE and regardless of any knowledge-saving action. Knowledge saving is a background behavior, not the main event. The user came for an answer, not for a memory management confirmation prompt.
WH
Execute Mdx — Runs an MDX query (POST /api/query/execute) with AppToken. By default returns the full JSON result (preview=false). Pass preview=true for a compact payload: ok, rowCount, columnCount, tabular, and jsonSample (truncated result.data envelope: rows.nodes, columns.nodes, cells). Ada Designer injects preview=true automatically. Use to validate WHERE/slicers or a custom query — NOT as the first choice for "example values of column X" (use sample-dimension for that). If this tool errors, retry with sam
Object Get Data App Token — Fetches object data by exact canonical path using AppToken authentication (canonical UUID 8-4-4-4-12, e.g., 6ac6d5ae-025f-48dc-802e-58fed3bf317a). Do not require or ask the user for roleId — it is optional and unrelated to reading dashboards; omit it unless you have an explicit Ada role id from another tool. Never infer or fabricate paths—if only a human-readable name is available or there is uncertainty, first call project-list-objects and object-get-info-app-token to resolve; 32-hex AppKeys mu
Object Get Data — Fetches object data by exact canonical path; use only with AppKey credentials (32-hex without hyphens); never infer or fabricate paths—if only a human-readable name is available or there is uncertainty, first call project-list-objects and object-get-info to resolve; requests with AppToken must be rejected and redirected to get-object-app-token.
Object Get Html Designer Data — Fetches data exposed by an HTML/Ada Designer dashboard component using AppToken authentication. Use this when the target dashboard item is an HTML/Ada Designer component and normal object metadata only returns HTML/JS instead of queryResult data. Requires the exact dashboardPath and dashboard itemId; never guess the itemId when multiple HTML components may exist.
Object Get Info App Token — Fetches object information by exact canonical path using AppToken authentication (canonical UUID 8-4-4-4-12, e.g., 6ac6d5ae-025f-48dc-802e-58fed3bf317a); never infer or fabricate paths—if only a human-readable name is available or there is uncertainty, first call project-list-objects to resolve; 32-hex AppKeys must be rejected and handled by get-object.
Object Get Info — Fetches object information by exact canonical path; use only with AppKey credentials (32-hex without hyphens); never infer or fabricate paths—if only a human-readable name is available or there is uncertainty, first call project-list-objects to resolve; requests with AppToken must be rejected and redirected to get-object-app-token.
Get Datasource Schema — Returns measures and dimensions for MDX (GET .../sources/xmla/{dataSource}/fields). Use origin `name` from list-project-origins as dataSource. See execute-mdx for full pipeline.
Get Time Hierarchy — Returns time dimensions/hierarchies for a cube with XMLA levels (Dia/Mes/Ano, etc.) and suggested grains. Call when choosing the time grain for a tile (query-selector: put `value` on rows, e.g. Periodo.(Dia)) or before writing temporal MDX. Not for generic column sampling. Use `value` as the catalog field. If you write MDX, use `mdxUniqueName` (e.g. [data.(Completo)]). Never double the dimension: [data.data.(Completo)] is invalid. `value` is the unbracketed BIM path. Bare time dimensions without
List Dimension Hierarchies — Lists every hierarchy and its levels for a cube (not only time). Call when a dimension is hierarchical and you need the exact hierarchy `value` for rows/filters. Optional dimension / search / limit narrow the catalog. Returns value, dimension, hierarchy, caption, levels — never MDX. Use those identifiers verbatim; do not invent hierarchy paths.
List Dimension Members — Lists members/values of a dimension column (catalog lookup with uniqueName). Use when the user asks which values exist in a dimension, or when building MDX filters/WHERE and you need the canonical uniqueName — never invent names. For quick "show me examples" prefer sample-dimension. Prefer search + limit=50 for a specific value (e.g. Status=ATIVO). If tooMany=true, call again with search. Use uniqueName in MDX (not caption alone). When a project global filter already covers the dimension, prefer
List Project Origins — Lists data origins (InMemory) for a project. Use each `name` as dataSource in get-datasource-schema / execute-mdx.
List Projects — Lists projects available to the current user; use to select or confirm the active project before listing or fetching objects when project context is missing or ambiguous.
Project Add User — Adds a user to a project with a specific role; use only if the project exists and the user is not already a member; enforces authorization and returns the created project-user access record.
Project List Dashboards — Lists ALL dashboards (.dashboard) in the project filesystem (published or not). Use ONLY when no dashboard is open in chat. Resolve project first (projectName or auto when single/default). Returns name, description, path — match what the user said to pick the right dashboard, then use object-get-data-app-token with that path. If project_required, ask which project before continuing.
Showing the first 25 tools — full list and schemas: Directory API.
MCPBundles probed 31 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.
What authentication does BIMachine require?
No provider sign-in was required during MCPBundles' probe. Your client may still need MCPBundles credentials depending on how you connect.
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