Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Pipefy MCP ServerShow me all cards in pipe 301234567"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Pipefy MCP Server
MCP (Model Context Protocol) server for integrating Pipefy GraphQL API with LLMs.
Overview
This MCP server enables LLMs to interact with Pipefy through comprehensive tools for managing pipes, cards, database tables, and records.
Features
Pipes & Cards
pipefy_list_pipes - List available pipes and organizations
pipefy_get_pipe - Get detailed pipe information (phases, members, fields, labels)
pipefy_list_cards - List cards in a pipe with optional search
pipefy_get_card - Get comprehensive card details with all field values
pipefy_search_cards - Search cards by specific field values
pipefy_create_card - Create a new card in a pipe
pipefy_get_phase - Get phase details and fields
Database Tables & Records
pipefy_list_tables - List database tables in an organization
pipefy_get_table - Get detailed table information (fields, members, webhooks)
pipefy_create_table - Create a new database table
pipefy_list_table_records - List records from a table
pipefy_get_table_record - Get comprehensive record details with all field values
pipefy_create_table_record - Create a new record in a table
All tools support both Markdown (human-readable) and JSON (machine-readable) output formats.
Installation
Configuration
Set your Pipefy API token as an environment variable:
To get your API token:
Go to Pipefy Settings
Navigate to Personal Access Tokens
Create a new token with appropriate permissions
Usage
Running the Server
Testing with MCP Inspector
Cursor IDE Integration
Add to your .cursor/mcp.json:
Example Queries
Once connected, you can ask the LLM things like:
Pipes & Cards
"List all cards in pipe 301234567"
"Get details for card 123456789"
"Search for cards with email john@example.com in pipe 301234567"
"Show me the phases in pipe 301234567"
"Create a new card in pipe 301234567 with title 'New Request'"
Database Tables & Records
"List all database tables in organization 12345"
"Show me the structure of table ZtEdWh"
"Create a new table called 'Customers' in organization 12345"
"List all records from table ZtEdWh"
"Get details for record 987654"
"Add a new customer record to table ZtEdWh"
API Reference
pipefy_get_pipe
Get detailed information about a Pipefy pipe.
Parameters:
pipe_id(required): The unique ID of the piperesponse_format: "markdown" (default) or "json"
pipefy_list_cards
List cards from a specific pipe.
Parameters:
pipe_id(required): The pipe ID to list cards fromlimit: Maximum cards to return (1-50, default: 20)search: Optional search term for card titlesresponse_format: "markdown" (default) or "json"
pipefy_get_card
Get detailed information about a specific card.
Parameters:
card_id(required): The unique ID of the cardresponse_format: "markdown" (default) or "json"
pipefy_search_cards
Search cards by a specific field value.
Parameters:
pipe_id(required): The pipe ID to search infield_id(required): The field ID to search byfield_value(required): The value to search forlimit: Maximum cards to return (1-50, default: 20)response_format: "markdown" (default) or "json"
pipefy_get_phase
Get phase details and fields.
Parameters:
phase_id(required): The unique ID of the phaseresponse_format: "markdown" (default) or "json"
pipefy_list_pipes
List Pipefy pipes available to the user.
Parameters:
organization_id: Optional organization ID to filter byresponse_format: "markdown" (default) or "json"
pipefy_create_card
Create a new card in a specific pipe.
Parameters:
pipe_id(required): The pipe IDfields(required): List of field objects withfield_idandfield_valuetitle: Optional card titleresponse_format: "markdown" (default) or "json"
Database Tables API
pipefy_list_tables
List database tables from a specific organization.
Parameters:
organization_id(required): The organization ID to list tables fromresponse_format: "markdown" (default) or "json"
pipefy_get_table
Get detailed information about a specific database table.
Parameters:
table_id(required): The alphanumeric ID of the table (e.g., 'ZtEdWh')response_format: "markdown" (default) or "json"
Returns: Table details including fields, members, webhooks, and record count.
pipefy_create_table
Create a new database table in an organization.
Parameters:
organization_id(required): The organization ID where the table will be createdname(required): The name for the new tablecolor: Optional color for the table (e.g., 'blue', 'red', 'green', 'lime', 'yellow')response_format: "markdown" (default) or "json"
Returns: Details of the created table including its ID.
Table Records API
pipefy_list_table_records
List records from a database table.
Parameters:
table_id(required): The alphanumeric ID of the tablelimit: Maximum records to return (1-50, default: 20)response_format: "markdown" (default) or "json"
pipefy_get_table_record
Get detailed information about a specific table record.
Parameters:
record_id(required): The numeric ID of the recordresponse_format: "markdown" (default) or "json"
Returns: Comprehensive record details with all field values.
pipefy_create_table_record
Create a new record in a database table.
Parameters:
table_id(required): The alphanumeric ID of the tabletitle(required): The title for the new recordfields: List of field objects withfield_idandfield_valueresponse_format: "markdown" (default) or "json"
Returns: Details of the created record including its ID.
Development
Project Structure
Adding New Tools
Follow the pattern in main.py:
Define a Pydantic model for input validation
Use
@mcp.tooldecorator with proper annotationsInclude comprehensive docstrings
Implement error handling with
_handle_api_errorSupport both response formats