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pratapsfdc22-dev

Salesforce AI Agent MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MCP_PORTNoPort for SSE mode3000
LOG_LEVELNodebug | info | warn | errorinfo
JIRA_EMAILYesYour Atlassian account email
N8N_API_KEYNoGenerate at n8n Settings -> API -> Create API Key
SF_PASSWORDYesYour Salesforce password
SF_USERNAMEYesYour Salesforce username
N8N_BASE_URLNoYour n8n instance URL
SF_CLIENT_IDYesConnected App Consumer Key
SF_LOGIN_URLYeshttps://login.salesforce.com (prod) or https://test.salesforce.com (sandbox)
JIRA_BASE_URLYese.g. https://your-org.atlassian.net
JIRA_API_TOKENYesGenerate at Atlassian API Tokens
SF_API_VERSIONNoAPI version, e.g. v61.0v61.0
SF_CLIENT_SECRETYesConnected App Consumer Secret
SF_SECURITY_TOKENYesReset at Setup -> Personal Information -> Reset Security Token

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
jira_get_storyA

Fetch a Jira story by issue key. Returns summary, description, acceptance criteria, status, labels, assignee, and all custom fields.

jira_update_story_statusA

Transition a Jira story to a new status. The available transitions depend on the current workflow configuration. Common statuses: 'To Do', 'In Progress', 'In Review', 'Done', 'Blocked'.

jira_post_commentA

Post a comment to a Jira story. Used by the AI agent to document deployment results, ask for clarification, or provide status updates. Supports plain text with paragraphs separated by blank lines.

jira_search_storiesA

Search Jira stories using JQL (Jira Query Language). Returns matching issues with full details. Example JQL: 'label = "sf-config" AND status = "To Do" AND project = SFDC ORDER BY created DESC'

salesforce_get_object_fieldsA

Query all existing fields on a Salesforce object using the REST API describe endpoint. Returns field names, labels, types, lengths, and picklist values.

salesforce_create_custom_fieldB

Create a custom field on a Salesforce object using the Tooling API. Supports all standard field types including Text, Number, Picklist, Checkbox, Date, Lookup, and more.

salesforce_create_validation_ruleB

Create a validation rule on a Salesforce object using the Tooling API. The rule evaluates an error condition formula and displays an error message when the formula returns true.

salesforce_deploy_metadataB

Trigger a Salesforce metadata deployment using the Metadata API. The metadata must be provided as a base64-encoded ZIP file containing a standard Salesforce metadata package.

salesforce_get_deployment_statusA

Poll the status of a Salesforce metadata deployment by its deployment ID. Returns component counts, errors, and test results.

salesforce_queryA

Execute a SOQL query against Salesforce and return the results. Use this to verify field values after deployment, check existing records, or validate configuration.

n8n_trigger_workflowA

Trigger a specific n8n workflow by its webhook URL, passing a JSON payload. This enables Claude to kick off the full Salesforce automation pipeline — for example, by sending a Jira issue key to start the analysis and deployment workflow.

n8n_get_execution_statusA

Retrieve the current status and output data of an n8n workflow execution by its execution ID. Use this to poll whether a triggered workflow has completed successfully.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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