Agent skill

affinity-mcp-workflows

Use when working with Affinity CRM via MCP tools - find entities, manage workflows, log interactions, prepare briefings, find warm intros. Also use when user mentions "pipeline", "deals", "relationship strength", or wants to prepare for meetings.

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npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/affinity-mcp-workflows

SKILL.md

Affinity MCP Workflows

This skill covers the xaffinity MCP server tools, prompts, and resources for working with Affinity CRM.

Prerequisites

The MCP server requires the xaffinity CLI to be installed:

bash
pip install "affinity-sdk[cli]"

The CLI must be configured with an API key before the MCP server will work.

⚠️ REQUIRED WORKFLOW - Do Not Skip Steps

You MUST complete steps 1-2 before running ANY queries or commands.

Skipping these steps leads to incorrect or inefficient queries because:

  • Command syntax may have changed since this skill was written
  • New flags (like --with-interaction-dates) may exist that you don't know about
  • You may use deprecated syntax that returns incomplete data
  • The data model has nuances (e.g., list export vs company ls) that you'll miss

Mandatory Pre-Flight Checklist

Before proceeding to execute any commands:

  1. ✅ Read xaffinity://data-model using read-xaffinity-resource
  2. ✅ Run discover-commands for your specific task
  3. ✅ State what you learned from each step before continuing

Example:

"I read the data-model resource and learned that list entries have custom fields
accessed via fields.<Name>. I ran discover-commands for 'interaction' and found
that interaction ls supports --type all to fetch all types in one call, and
--days to limit the time range. Now I'll proceed with..."

IMPORTANT: Write Operations Only After Explicit User Request

Only use tools or prompts that modify CRM data when the user explicitly asks to do so.

Write operations include:

  • Tools: execute-write-command
  • Prompts: log-interaction-and-update-workflow, change-status, log-call, log-message

Read-only operations (search, lookup, briefings) can be used proactively to help the user. But never create, update, or delete CRM records unless the user specifically requests it.

Full Scan Protection

The MCP gateway enforces pagination limits to prevent unbounded data scans:

Limit Value Description
Default 1000 records Applied when no --max-results specified
Maximum 10000 records Higher values are capped with a warning
--all flag BLOCKED Use --max-results or cursor pagination instead

Affected commands: list export, list ls, person ls, company ls, opportunity ls, note ls, reminder ls, interaction ls, field history

To fetch more than 10000 records: Use cursor pagination with --cursor flag.

Available Tools

CLI Gateway (Primary Interface)

The CLI Gateway provides full access to the xaffinity CLI:

Tool Use Case
discover-commands Search CLI commands by keyword (e.g., "create person", "export list")
execute-read-command Execute read-only CLI commands (get, search, list, export)
execute-write-command (write) Execute write CLI commands (create, update, delete)

Usage pattern:

  1. Discover the right command: discover-commands(query: "create person", category: "write")
  2. Execute it: execute-write-command(command: "person create", argv: ["--first-name", "John", "--last-name", "Doe"])

Utility Tools

Tool Use Case
get-entity-dossier Comprehensive entity info (details, relationship strength, interactions, notes, list memberships)
read-xaffinity-resource Access dynamic resources via xaffinity:// URIs

Destructive Commands

Commands that delete data require double confirmation:

  1. Look up the entity first using execute-read-command to show what will be deleted
  2. Ask the user in your response by showing them the entity details and requesting confirmation
  3. Wait for user's next message - do NOT proceed until they explicitly confirm
  4. Only after user confirms should you execute with confirm: true

Example flow:

User: "Delete person 123"
You: execute-read-command(command: "person get", argv: ["123"])
You: "This will permanently delete John Smith (ID: 123, email: john@example.com).
      Type 'yes' to confirm deletion."
[Stop here and wait for user's response]

User: "yes"
You: execute-write-command(command: "person delete", argv: ["123"], confirm: true)

Query vs CLI Commands: When to Use What

Use query tool for:

  • Any operation needing relationships (persons at a company, companies for a person)
  • Any operation needing computed data (interaction dates, unreplied messages)
  • Pipeline analysis with aggregations or groupBy
  • Complex filtering with AND/OR conditions
  • List entry operations that need associated entities

Use individual CLI commands for:

  • Simple lookups: person get 123, company get 456
  • Quick searches: person ls --query "John", company ls --query "Acme"
  • Metadata: list ls, field ls --list-id <id>
  • Write operations: All creates, updates, deletes

Query Examples (Preferred for Complex Operations)

⚠️ STOP: Did you complete the pre-flight checklist? The syntax below may be outdated. Run discover-commands first to verify current syntax and available flags.

⚠️ For queries with expand or include, ALWAYS use dryRun: true first to see estimated API calls. These cause N+1 API calls (one per record) and can be slow or timeout.

json
// STEP 1: Preview any expand/include query with dryRun first
{"query": {"from": "listEntries", "where": {"path": "listName", "op": "eq", "value": "Dealflow"}, "expand": ["interactionDates"], "limit": 100}, "dryRun": true}

// STEP 2: If API calls look reasonable (<200), run without dryRun
{"from": "listEntries", "where": {"path": "listName", "op": "eq", "value": "Dealflow"}, "expand": ["interactionDates"], "limit": 100}

// Pipeline with field values and unreplied email detection
{"from": "listEntries", "where": {"path": "listName", "op": "eq", "value": "Dealflow"}, "select": ["entityName", "fields.Status", "fields.Owner"], "expand": ["unreplied"]}

// Persons with their companies and interaction history summary
{"from": "persons", "where": {"path": "email", "op": "contains", "value": "@acme.com"}, "include": ["companies"], "expand": ["interactionDates"]}

// Pipeline summary by status (aggregation) - no expand, no dryRun needed
{"from": "listEntries", "where": {"path": "listName", "op": "eq", "value": "Dealflow"}, "groupBy": "fields.Status", "aggregate": {"count": {"count": true}}}

// List entries with associated persons and interactions (parameterized include)
{"from": "listEntries", "where": {"path": "listName", "op": "eq", "value": "Dealflow"}, "include": [{"interactions": {"limit": 50, "days": 180}}, "persons"]}

Common CLI Commands

⚠️ Reminder: Run discover-commands first. The commands below are examples - actual syntax and flags may differ.

Use discover-commands to find commands, then execute-read-command or execute-write-command to run them.

Search & Lookup (Simple Operations)

Command Use Case
person ls --query "..." Quick search persons by name/email
company ls --query "..." Quick search companies
list ls List all Affinity lists
field ls --list-id <id> Get field definitions and dropdown options

Note: For list exports needing relationships or computed data, use query instead of list export.

Entity Details

Command Use Case
person get <id> Get person details
company get <id> Get company details
opportunity get <id> Get opportunity details
relationship-strength ls --external-id <id> Get relationship strength for a person
interaction ls --person-id <id> --type all Get all interactions (or use specific type: email, meeting, call, chat-message)
field history <field-id> --person-id <id> Audit who changed a field and when. Use to track status changes or investigate field modifications. Requires exactly one entity selector: --person-id, --company-id, --opportunity-id, or --list-entry-id

Write Operations

Command Use Case
interaction create --type call --person-id <id> Log a call/meeting/email
note create --person-id <id> --content "..." Add a note
entry field "<list>" <entryId> --set <field> <value> Update a field value
person create --first-name "..." --last-name "..." Create a person

MCP Prompts (Guided Workflows)

These prompts provide guided multi-step workflows. Suggest them when appropriate.

Note: Prompts marked with (write) modify CRM data - only use when user explicitly requests.

Prompt Type When to Suggest
prepare-briefing read-only User has upcoming meeting, needs context on a person/company
pipeline-review read-only User wants weekly/monthly pipeline review
warm-intro read-only User wants to find introduction path to someone
interaction-brief read-only Get interaction history summary for an entity
log-interaction-and-update-workflow write User explicitly asks to log a call/meeting and update pipeline
change-status write User explicitly asks to move a deal to new stage
log-call write User explicitly asks to log a phone call
log-message write User explicitly asks to log a chat/text message

How to Invoke Prompts

Prompts are invoked with arguments. Example:

  • prepare-briefing(entityName: "John Smith", meetingType: "demo")
  • warm-intro(targetName: "Jane Doe", context: "partnership discussion")
  • log-interaction-and-update-workflow(personName: "Alice", interactionType: "call", summary: "Discussed pricing")

Resources

Access dynamic data via xaffinity:// URIs using read-xaffinity-resource:

URI Returns
xaffinity://me Current authenticated user details
xaffinity://me/person-id Current user's person ID in Affinity
xaffinity://interaction-enums Valid interaction types and directions
xaffinity://saved-views/{listId} Saved views available for a list
xaffinity://field-catalogs/{listId} Field definitions for a list
xaffinity://workflow-config/{listId} Workflow configuration for a list

Common Workflow Patterns

⚠️ Before using any pattern below: Complete the pre-flight checklist (read data-model, run discover-commands, state what you learned).

Before a Meeting

  1. Use get-entity-dossier for full context (relationship strength, recent interactions, notes)
  2. Or use: prepare-briefing prompt for a guided flow

After a Call/Meeting

  1. Use execute-write-command with interaction create to log what happened
  2. Use query to find list entry: {"from": "listEntries", "where": {"and": [{"path": "listName", "op": "eq", "value": "Dealflow"}, {"path": "entityName", "op": "contains", "value": "Acme"}]}}
  3. Use execute-write-command with entry field if deal stage changed
  4. Or use: log-interaction-and-update-workflow prompt

Finding Warm Introductions

  1. Use execute-read-command with person ls to locate target person
  2. Use execute-read-command with relationship-strength ls for connection strength
  3. Or use: warm-intro prompt for guided flow

Pipeline Review

  1. Use query with aggregation: {"from": "listEntries", "where": {"path": "listName", "op": "eq", "value": "Dealflow"}, "groupBy": "fields.Status", "aggregate": {"count": {"count": true}}}
  2. Use query with expand for details: {"from": "listEntries", "where": {"path": "listName", "op": "eq", "value": "Dealflow"}, "expand": ["interactionDates", "unreplied"]}
  3. Or use: pipeline-review prompt

Updating Deal Status

  1. Use query to find the entry: {"from": "listEntries", "where": {"and": [{"path": "listName", "op": "eq", "value": "Dealflow"}, {"path": "entityName", "op": "contains", "value": "..."}]}}
  2. Use execute-read-command with field ls --list-id to see available statuses
  3. Use execute-write-command with entry field to update
  4. Or use: change-status prompt

Tips

  • Entity types: person, company, opportunity
  • Interaction types: call, meeting, email, chat_message, in_person
  • Dossier is comprehensive: get-entity-dossier returns relationship strength, interactions, notes, and list memberships in one call
  • Use names directly: Most commands accept names instead of IDs (e.g., person ls --query "John")
  • Finding entities in a list: Use query with filters:
    json
    {"from": "listEntries", "where": {"and": [{"path": "listName", "op": "eq", "value": "Dealflow"}, {"path": "entityName", "op": "contains", "value": "Acme"}]}}
    
  • Output formats: The format parameter controls result format:
    • toon (default for query): 40% fewer tokens, best for bulk queries
    • markdown: Best for LLM comprehension when analyzing data
    • json: Full structure with envelope - supports cursor pagination for large results
    • csv: For spreadsheet export
    • All formats support cursor pagination when results are truncated (use nextCursor to resume)

Troubleshooting

If tools aren't working or returning unexpected results:

Enable Debug Mode

bash
# Enable (persistent, works with any MCP client)
mkdir -p ~/.config/xaffinity-mcp && touch ~/.config/xaffinity-mcp/debug

# Restart the MCP client (Claude Desktop: Cmd+Q, reopen)

# Disable when done
rm ~/.config/xaffinity-mcp/debug

View Logs

Claude Desktop: tail -f ~/Library/Logs/Claude/mcp-server-*.log

Debug logs show component prefixes like [xaffinity:tool:1.2.3] to identify which component produced each message.

Common Issues

Symptom Likely Cause Fix
Tools show old behavior after update Cached MCP server process Fully quit and restart Claude Desktop
API key errors Key not configured Run xaffinity config setup-key
CLI version errors Outdated CLI Run pip install --upgrade affinity-sdk

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