Pipedrive MCP Server by CData

Enables querying and retrieving live data from ADP systems through SQL-based operations

Provides access to Airtable data through SQL queries, allowing retrieval of records and table information

Enables querying Amazon DynamoDB databases with SQL-like operations for data retrieval

Provides access to Amazon S3 data through SQL queries for file and object information retrieval

Allows querying Asana project data, tasks, and workspace information through SQL operations

Enables retrieval of Basecamp project data, tasks, and team information through SQL queries

Provides access to BigCommerce store data including products, orders, and customer information through SQL queries

Enables querying Bitbucket repository data, issues, and project information through SQL operations

Provides access to Box file storage data and metadata through SQL-based queries

Allows querying Confluence pages, spaces, and content data through SQL operations

Enables SQL-based access to Couchbase NoSQL database data for querying documents and collections

Provides SQL query access to Databricks data lakehouse platform for analytics and data retrieval

Enables querying Dropbox file storage data and metadata through SQL operations

Provides access to eBay marketplace data including listings, orders, and seller information through SQL queries

Allows SQL-based querying of Elasticsearch indices for search and data retrieval operations

Enables SQL queries against EnterpriseDB PostgreSQL databases for data retrieval

Provides access to Facebook data and analytics through SQL-based queries

Allows querying GitHub repository data, issues, pull requests, and project information through SQL operations

Enables querying Gmail email data and metadata through SQL operations

Provides access to Google Ads campaign data, performance metrics, and advertising information through SQL queries

Allows querying Google Analytics data for website traffic, user behavior, and performance metrics through SQL operations

Enables retrieval of Google Calendar events, schedules, and calendar data through SQL queries

Provides access to Google Campaign Manager 360 advertising data and campaign metrics through SQL queries

Allows querying Google Cloud Storage bucket data and file metadata through SQL operations

Enables retrieval of Google Drive file data and metadata through SQL-based queries

Provides access to Google Sheets spreadsheet data through SQL queries for data analysis and retrieval

Enables SQL-based querying of GraphQL APIs for flexible data retrieval

Allows querying Greenhouse recruiting data including candidates, jobs, and hiring information through SQL operations

Provides SQL query access to Apache Hive data warehouse for big data analytics

Enables querying HubSpot CRM data including contacts, deals, companies, and marketing information through SQL operations

Provides access to Instagram data and analytics through SQL-based queries

Allows querying Jira project data, issues, workflows, and team information through SQL operations

Provides access to MailChimp email marketing data including campaigns, lists, and subscriber information through SQL queries

Enables direct SQL queries against MariaDB databases for comprehensive data access

Allows SQL-based querying of MongoDB NoSQL databases for document retrieval and analysis

Provides access to MYOB accounting data including financial records and business information through SQL queries

Enables direct SQL queries against MySQL databases for comprehensive data access

Allows SQL-based querying of Neo4j graph databases for relationship and node data retrieval

Provides access to Odoo ERP data including business processes, inventory, and customer information through SQL queries

Enables querying Okta identity management data including users, groups, and authentication information through SQL operations

Provides access to PayPal transaction data and payment information through SQL queries

Allows querying Pinterest data including pins, boards, and user information through SQL operations

Enables direct SQL queries against PostgreSQL databases for comprehensive data access

Provides SQL query access to Presto distributed query engine for big data analytics

Allows querying QuickBooks accounting data including financial records, customers, and business information through SQL operations

Enables SQL-based querying of Redis key-value store data for cache and session information retrieval

Provides access to RSS feed data and content through SQL-based queries

Allows querying Sage accounting and business management data through SQL operations

Enables comprehensive querying of Salesforce CRM data including leads, opportunities, accounts, and custom objects through SQL operations

Provides access to SAP enterprise data including business processes, financials, and operations through SQL queries

Allows querying SendGrid email service data including campaigns, deliverability, and email analytics through SQL operations

Provides access to Shopify store data including products, orders, customers, and inventory through SQL queries

Enables direct SQL queries against SingleStore databases for real-time analytics and data retrieval

Allows querying Slack workspace data including messages, channels, and team information through SQL operations

Provides access to Snapchat advertising data and campaign metrics through SQL queries

Enables direct SQL queries against Snowflake data warehouse for comprehensive analytics and data retrieval

Allows SQL-based querying of Splunk data for log analysis, monitoring, and security information retrieval

Provides access to Square payment and point-of-sale data including transactions and customer information through SQL queries

Enables querying Stripe payment data including transactions, customers, and subscription information through SQL operations

Allows querying SurveyMonkey survey data and responses through SQL operations

Enables direct SQL queries against Teradata data warehouse for enterprise analytics and data retrieval

Provides access to Trello board data including cards, lists, and project information through SQL queries

Enables SQL queries through Trino distributed query engine for federated data analytics

Allows querying Twilio communication data including messages, calls, and service information through SQL operations

Provides access to WooCommerce e-commerce data including products, orders, and customer information through SQL queries

Enables querying WordPress content data including posts, pages, and user information through SQL operations

Allows querying Xero accounting data including financial records, invoices, and business information through SQL operations

Enables SQL-based querying of XML data sources for structured document retrieval and analysis

Provides access to YouTube analytics data including video performance, channel metrics, and audience insights through SQL queries

Allows querying Zendesk customer service data including tickets, users, and support information through SQL operations

Provides access to Zoho business application data including CRM, projects, and productivity tools through SQL queries

pipedrive-mcp-server-by-cdata

CData's Model Context Protocol (MCP) Server for Pipedrive

: This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Pipedrive (beta).

Purpose

We created this read-only MCP Server to allow LLMs (like Claude Desktop) to query live data Pipedrive supported by the CData JDBC Driver for Pipedrive.

CData JDBC Driver connects to Pipedrive by exposing them as relational SQL models.

This server wraps that driver and makes Pipedrive data available through a simple MCP interface, so LLMs can retrieve live information by asking natural language questions — no SQL required.

Setup Guide

Clone the repository:
git clone https://github.com/cdatasoftware/pipedrive-mcp-server-by-cdata.git cd pipedrive-mcp-server-by-cdata
Build the server:
mvn clean install
This creates the JAR file: CDataMCP-jar-with-dependencies.jar
Download and install the CData JDBC Driver for {source}: https://www.cdata.com/drivers/pipedrive/download/jdbc
License the CData JDBC Driver:
- Navigate to the lib folder in the installation directory, typically:
  - (Windows) C:\Program Files\CData\CData JDBC Driver for Pipedrive\
  - (Mac/Linux) /Applications/CData JDBC Driver for Pipedrive/
- Run the command java -jar cdata.jdbc.pipedrive.jar --license
- Enter your name, email, and "TRIAL" (or your license key).
Configure your connection to the data source (Salesforce as an example):
- Run the command java -jar cdata.jdbc.pipedrive.jar to open the Connection String utility.
- Configure the connection string and click "Test Connection"
  Note: If the data sources uses OAuth, you will need to authenticate in your browser.
- Once successful, copy the connection string for use later.
Create a .prp file for your JDBC connection (e.g. pipedrive.prp) using the following properties and format:
- Prefix - a prefix to be used for the tools exposed
- ServerName - a name for your server
- ServerVersion - a version for your server
- DriverPath - the full path to the JAR file for your JDBC driver
- DriverClass - the name of the JDBC Driver Class (e.g. cdata.jdbc.pipedrive.PipedriveDriver)
- JdbcUrl - the JDBC connection string to use with the CData JDBC Driver to connect to your data (copied from above)
- Tables - leave blank to access all data, otherwise you can explicitly declare the tables you wish to create access for
  Prefix=pipedrive ServerName=CDataPipedrive ServerVersion=1.0 DriverPath=PATH\TO\cdata.jdbc.pipedrive.jar DriverClass=cdata.jdbc.pipedrive.PipedriveDriver JdbcUrl=jdbc:pipedrive:InitiateOAuth=GETANDREFRESH; Tables=

Using the Server with Claude Desktop

Create the config file for Claude Desktop ( claude_desktop_config.json) to add the new MCP server, using the format below. If the file already exists, add the entry to the mcpServers in the config file. Windows
{ "mcpServers": { "{classname_dash}": { "command": "PATH\\TO\\java.exe", "args": [ "-jar", "PATH\\TO\\CDataMCP-jar-with-dependencies.jar", "PATH\\TO\\pipedrive.prp" ] }, ... } }
Linux/Mac
{ "mcpServers": { "{classname_dash}": { "command": "/PATH/TO/java", "args": [ "-jar", "/PATH/TO/CDataMCP-jar-with-dependencies.jar", "/PATH/TO/pipedrive.prp" ] }, ... } }
If needed, copy the config file to the appropriate directory (Claude Desktop as the example). Windows
cp C:\PATH\TO\claude_desktop_config.json %APPDATA%\Claude\claude_desktop_config.json
Linux/Mac
cp /PATH/TO/claude_desktop_config.json /Users/{user}/Library/Application\ Support/Claude/claude_desktop_config.json'
Run or refresh your client (Claude Desktop).

Note: You may need to fully exit or quit your Claude Desktop client and re-open it for the MCP Servers to appear.

Running the Server

Run the follow the command to run the MCP Server on its own
java -jar /PATH/TO/CDataMCP-jar-with-dependencies.jar /PATH/TO/Salesforce.prp > **Note:** The server uses `stdio` so can only be used with clients that run on the same machine as the server.

Usage Details

Once the MCP Server is configured, the AI client will be able to use the built-in tools to read, write, update, and delete the underlying data. In general, you do not need to call the tools explicitly. Simply ask the client to answer questions about the underlying data system. For example:

"What is the correlation between my closed won opportunities and the account industry?"
"How many open tickets do I have in the SUPPORT project?"
"Can you tell me what calendar events I have today?"

The list of tools available and their descriptions follow:

Tools & Descriptions

In the definitions below, {servername} refers to the name of the MCP Server in the config file (e.g. {classname_dash} above).

{servername}_get_tables - Retrieves a list of tables available in the data source. Use the {servername}_get_columns tool to list available columns on a table. The output of the tool will be returned in CSV format, with the first line containing column headers.
{servername}_get_columns - Retrieves a list of columns for a table. Use the {servername}_get_tables tool to get a list of available tables. The output of the tool will be returned in CSV format, with the first line containing column headers.
{servername}_run_query - Execute a SQL SELECT query

JSON-RPC Request Examples

If you are scripting out the requests sent to the MCP Server instead of using an AI Client (e.g. Claude), then you can refer to the JSON payload examples below – following the JSON-RPC 2.0 specification - when calling the available tools.

source_get_tables

{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
        "name": "source_get_tables",
        "arguments": {}
    }
}

source_get_columns

{
    "jsonrpc": "2.0",
    "id": 2,
    "method": "tools/call",
    "params": {
        "name": "source_get_columns",
        "arguments": {
            "table":  "Account"
        }
    }
}

source_run_query

{
    "jsonrpc": "2.0",
    "id": 3,
    "method": "tools/call",
    "params": {
        "name": "source_run_query",
        "arguments": {
            "sql":  "SELECT * FROM [Account] WHERE [IsDeleted] = true"
        }
    }
}

Troubleshooting

If you cannot see your CData MCP Server in Claude Desktop, be sure that you have fully quit Claude Desktop (Windows: use the Task Manager, Mac: use the Activity Monitor)
If Claude Desktop is unable to retrieve data, be sure that you have configured your connection properly. Use the Connection String builder to create the connection string (see above) and copy the connection string into the property (.prp) file.
If you are having trouble connecting to your data source, contact the CData Support Team.
If you are having trouble using the MCP server, or have any other feedback, join the CData Community.

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

All Supported Sources

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

local-only server

The server can only run on the client's local machine because it depends on local resources.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Pipedrive (beta): https://www.cdata.com/download/download.aspx?sku=KDZK-V&type=beta

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