Attio MCP Server

A comprehensive Model Context Protocol (MCP) server for Attio, the AI-native CRM. This server enables AI assistants like Claude to interact directly with your Attio data through natural language, providing seamless integration between conversational AI and your CRM workflows.

🎯 What is Attio MCP Server?

Transform your CRM workflows with AI-powered automation. Instead of clicking through multiple screens, simply ask Claude to find prospects, update records, manage pipelines, and analyze your data using natural language commands.

"Find all AI companies with 50+ employees that we haven't contacted in 30 days and add them to our Q1 outreach list"

✨ Core Features & Implementation Status

🎯 Universal Tools Architecture (14 Tools)

68% Tool Reduction: Consolidated 40+ resource-specific tools into 14 universal operations for consistent, powerful CRM management.

High Performance: 89.7% speed improvement with 227KB memory reduction (PR #483)
Enterprise Quality: 97.15/100 production readiness score with zero breaking changes
Clean Architecture: Complete production-test separation with mock factory pattern

📊 Feature Implementation Status

✅ Fully Implemented

Companies: Search, Create, Update, Delete, Advanced Search, Relationship Search
People: Search, Create, Update, Delete, Advanced Search, Relationship Search
Lists: Full CRUD operations, filtering, advanced filtering, entry management
Tasks: Create, Update, Delete, Search with universal tools
Records: Universal CRUD operations across all resource types
Notes: Create and list operations for all record types
Batch Operations: Create, Update, Delete with chunking and error handling

🚧 Partially Implemented

Content Search: Basic implementation available, may not cover all content types
Timeframe Filters: Date range filtering implemented, some edge cases may exist
Field Filtering: Basic field selection available, may not support all attribute types

📊 Company Management

Universal Search: Find companies with search-records and advanced-search
Full CRUD: Create, read, update, and delete with universal record operations
Relationship Discovery: Find companies through search-by-relationship
Batch Operations: Process hundreds of companies with batch-operations
Detailed Information: Get contact, business, and social info with get-detailed-info

👥 People Management

Universal Contact Search: Find people by any criteria using universal search tools
Relationship Tracking: Link people to companies with search-by-relationship
Activity Timeline: Track interactions with search-by-content and search-by-timeframe
Advanced Filtering: Multi-attribute search with universal filtering
Bulk Operations: Efficiently manage contacts with universal batch operations

📋 Lists & Pipeline Management (11 Tools)

Pipeline Operations: Move deals through sales stages
Smart Segmentation: Create and manage targeted contact lists
Advanced Filtering: Complex multi-condition filtering with AND/OR logic
Entry Management: Add, remove, and update list memberships
Deal Tracking: Monitor opportunities and revenue pipeline
Deal Defaults: Configurable default stage, owner, and currency for streamlined deal creation

✅ Task Management

Universal Task Operations: Create, update, and manage tasks with universal tools
Record Linking: Associate tasks with any record type using resource_type parameter
Progress Tracking: Monitor completion with universal search and filtering
Team Coordination: Streamline follow-ups with consistent universal operations

🔧 Advanced Capabilities

Batch Processing: Handle bulk operations with error tracking
Enhanced Filtering: Text, numeric, date, boolean, and relationship filters with timeframe search (Issue #475)
Data Export: JSON serialization for integrations
Real-time Updates: Live data synchronization with Attio

⚠️ Known Limitations & Important Notes

Current Limitations

Field Parameter Filtering: Tasks endpoint /objects/tasks/attributes has limitations, handled with fallback patterns
Pagination: Tasks pagination uses in-memory handling due to API constraints

API Compatibility

Universal Tools: Primary interface (14 tools) - recommended for all new integrations
Legacy Tools: Available via DISABLE_UNIVERSAL_TOOLS=true environment variable (deprecated)
Lists API: Fully functional with complete CRUD operations (contrary to some outdated documentation)

Performance Considerations

Batch Operations: Optimized with chunking, rate limiting, and error recovery
Large Datasets: Automatic pagination and field filtering for optimal performance
Rate Limiting: Built-in protection against API rate limits with exponential backoff

For detailed troubleshooting and solutions, see TROUBLESHOOTING.md and GitHub Issues.

The Power Behind Precise CRM Queries - Stop wrestling with complex data searches. Our advanced filtering system lets you find exactly what you need with surgical precision.

"Find all AI companies with 50+ employees that we haven't contacted in 30 days and add them to our Q1 outreach list" - This kind of complex query is exactly what advanced search filters excel at.

🏗️ Filter Architecture

Every advanced search follows this proven pattern that's been battle-tested across thousands of CRM queries:

{
  "resource_type": "companies",
  "filters": {
    "filters": [
      {
        "attribute": {"slug": "field_name"},
        "condition": "operator",
        "value": "search_value"
      }
    ]
  }
}

⚡ Real-World Examples

🔍 Single Criteria Search

{
  "resource_type": "companies",
  "filters": {
    "filters": [
      {
        "attribute": {"slug": "name"},
        "condition": "contains", 
        "value": "Tech"
      }
    ]
  }
}

🎯 Multi-Criteria Power Search (AND Logic)

{
  "resource_type": "companies",
  "filters": {
    "filters": [
      {
        "attribute": {"slug": "name"},
        "condition": "contains",
        "value": "Tech"
      },
      {
        "attribute": {"slug": "employee_count"},
        "condition": "greater_than",
        "value": 50
      },
      {
        "attribute": {"slug": "industry"},
        "condition": "equals",
        "value": "AI/Machine Learning"
      }
    ]
  }
}

🚀 Flexible OR Logic

{
  "resource_type": "companies", 
  "filters": {
    "filters": [
      {
        "attribute": {"slug": "name"},
        "condition": "contains",
        "value": "Tech"
      },
      {
        "attribute": {"slug": "name"},
        "condition": "contains", 
        "value": "AI"
      }
    ],
    "matchAny": true
  }
}

🧠 Smart Filter Operators

Operator	Perfect For	Example Use Case
`contains`	Text searches	Finding companies with "Tech" in name
`equals`	Exact matches	Specific industry classification
`starts_with`	Prefix searches	Companies beginning with "Acme"
`ends_with`	Suffix searches	Companies ending with "Inc"
`greater_than`	Numerical analysis	Companies with 100+ employees
`less_than`	Size filtering	Startups under 50 people
`is_empty`	Data cleanup	Find records missing key information
`is_not_empty`	Completeness checks	Records with populated fields

💡 Pro Tips for Different Teams

🎯 Sales Teams - Use these field combinations:

Companies: name, industry, employee_count, website, location
People: full_name, job_title, email, company

📈 Marketing Teams - Focus on engagement fields:

Activity tracking: last_interaction, email_status, campaign_response
Segmentation: industry, company_size, location, engagement_score

✅ Customer Success - Monitor health metrics:

Account health: renewal_date, support_tickets, usage_metrics
Risk indicators: last_contact, satisfaction_score, contract_value

🚨 Avoid These Common Mistakes

❌ Wrong (Flat object structure):

{
  "filters": {
    "name": {"operator": "contains", "value": "Test"}
  }
}

✅ Correct (Nested array structure):

{
  "filters": {
    "filters": [
      {"attribute": {"slug": "name"}, "condition": "contains", "value": "Test"}
    ]
  }
}

🔧 Quick Troubleshooting

Getting "Filters must include a 'filters' array property"?

✅ Ensure your filters object contains a filters array
✅ Each array item needs attribute, condition, and value
✅ The attribute must be an object with a slug property
✅ Double-check your JSON structure matches the examples above

💬 Pro Tip: Start with simple single-filter searches, then build complexity once you're comfortable with the structure.

🏆 Latest Updates - Critical Issues Resolved

✅ 100% Integration Test Pass Rate Achieved - All critical API contract violations and build issues have been resolved:

Recently Fixed Issues (August 2025)

P0 Critical API Failures: Fixed response data structure handling for robust fallback patterns
Build Compilation Errors: Created missing enhanced-validation module and resolved TypeScript compilation
E2E Test Implementation: Fixed JSON truncation, resource mappings, and email validation consistency
Field Parameter Filtering: Resolved tasks attribute handling with special case for missing /objects/tasks/attributes endpoint
Email Validation Consistency: Fixed batch validation and create/update operation alignment
Pagination System: Documented tasks pagination limitation with in-memory handling workaround

Test Status

Integration Tests: 15/15 passing (100% pass rate)
Build Status: All TypeScript compilation successful
API Contract: All violations resolved with robust error handling

See TROUBLESHOOTING.md for detailed solutions to these resolved issues.

🚀 Installation

Installing via Smithery

To install Attio CRM Integration Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @kesslerio/attio-mcp-server --client claude

Option 1: NPM (Recommended)

# Global installation for CLI usage
npm install -g attio-mcp-server

# Or local installation for project integration
npm install attio-mcp-server

Option 2: One-Command Script Installation

curl -fsSL https://raw.githubusercontent.com/kesslerio/attio-mcp-server/main/install.sh | bash

Option 3: Manual Installation

git clone https://github.com/kesslerio/attio-mcp-server.git
cd attio-mcp-server
npm install
npm run build

⚡ Quick Start

Prerequisites

Node.js (v18 or higher)
Attio API Key (Get one here)
Attio Workspace ID

1. Set Environment Variables

export ATTIO_API_KEY="your_api_key_here"
export ATTIO_WORKSPACE_ID="your_workspace_id_here"

# Optional: Deal defaults configuration
export ATTIO_DEFAULT_DEAL_STAGE="Interested"      # Default stage for new deals
export ATTIO_DEFAULT_DEAL_OWNER="member_id_here"  # Default owner workspace member ID (see below)
export ATTIO_DEFAULT_CURRENCY="USD"               # Default currency for deal values

2. Test the Installation

# Test the MCP server
attio-mcp-server --help

# Discover your Attio workspace attributes
attio-mcp-server discover attributes

3. Configure Claude Desktop

Add to your Claude Desktop MCP configuration:

Finding Required IDs

Workspace Member ID (for deal owner defaults):

# Use the Attio API to list workspace members
curl -H "Authorization: Bearer $ATTIO_API_KEY" \
  https://api.attio.com/v2/workspace-members

# Look for your name in the response to find your member ID

Deal Stages: Deal stages are specific to your workspace. Check your Attio workspace settings or use the discover-attributes command to find available stages for deals.

{
  "mcpServers": {
    "attio-mcp": {
      "command": "attio-mcp-server",
      "env": {
        "ATTIO_API_KEY": "your_api_key_here",
        "ATTIO_WORKSPACE_ID": "your_workspace_id_here",
        "ATTIO_DEFAULT_DEAL_STAGE": "Interested",
        "ATTIO_DEFAULT_DEAL_OWNER": "member_id_here",
        "ATTIO_DEFAULT_CURRENCY": "USD"
      }
    }
  }
}

🌟 Example Use Cases

For Sales Teams

"Find all companies in the AI space with 50+ employees that we haven't contacted in 30 days"
"Show me all prospects added yesterday"
"Find companies created in the last 7 days with revenue over $10M"
"Create a task to follow up with Microsoft about the enterprise deal"
"Add John Smith from Google to our Q1 prospect list"

For Marketing Teams

"Create a list of all SaaS companies who opened our last 3 emails but haven't responded"
"Show me engagement metrics for our outbound campaign this month"
"Add all attendees from the conference to our nurture sequence"

For Customer Success

"Show me all enterprise customers with upcoming renewal dates in Q1"
"Create tasks for check-ins with accounts that haven't been contacted in 60 days"
"Find all customers who mentioned pricing concerns in recent notes"

For Data Operations

"Update all companies with missing industry data based on their domains"
"Export all contacts added this quarter to CSV"
"Merge duplicate company records for Acme Corporation"

🔐 Security & Privacy

Secure API Authentication: Industry-standard API key authentication
No Data Storage: Direct API passthrough with no local data retention
Open Source: Full transparency with Apache 2.0 license
Optional On-Premises: Deploy in your own infrastructure

📚 Documentation

Comprehensive documentation is available in the docs directory:

Universal Tools (Recommended)

⚠️ Note: Universal tools documentation is currently being updated to match the latest implementation. Use the API directly or check the source code for the most accurate interface definitions.

API Overview - High-level API concepts and patterns
Universal Tools Source - Current implementation reference
Tool Schemas - Parameter definitions and validation

Getting Started

API Reference

📋 Implementation Status: These docs describe the Attio API endpoints. For MCP tool usage, refer to universal tools documentation above.

API Overview - General Attio API concepts
Companies API - Company record endpoints ✅ Fully Implemented via Universal Tools
People API - Person record endpoints ✅ Fully Implemented via Universal Tools
Lists API - List management endpoints ✅ Fully Implemented
Notes API - Notes endpoints ✅ Basic Implementation
Tasks API - Task endpoints ✅ Implemented via Universal Tools

Advanced Topics

Batch Operations - Bulk operations ✅ Implemented with chunking
Advanced Filtering - Complex queries ✅ Implemented
Error Handling - Error patterns ✅ Enhanced error handling
Extending MCP - Customization guide

Deployment

🛠 Development

Setup Development Environment

git clone https://github.com/kesslerio/attio-mcp-server.git
cd attio-mcp-server
npm install
npm run build
npm run test:offline

Smithery CLI Development

For local development and testing with Smithery Playground:

npm run dev  # Opens Smithery Playground with local server

See docs/deployment/smithery-cli-setup.md for detailed Smithery CLI development setup.

Testing

The project includes comprehensive testing at multiple levels with 100% E2E test pass rate:

🚀 E2E Test Framework (100% Pass Rate)

Our comprehensive E2E test framework validates all universal tools with real Attio API integration:

# E2E Tests (requires ATTIO_API_KEY in .env file)
npm run e2e                 # Run complete E2E test suite (51 tests, 100% pass rate)
npm test -- test/e2e/suites/universal-tools.e2e.test.ts  # Universal tools E2E tests

# Set up E2E environment
echo "ATTIO_API_KEY=your_api_key_here" > .env
npm run e2e                 # Should show 51/51 tests passing

✅ Comprehensive Coverage:

Pagination Testing: Validates offset parameter across all universal tools
Field Filtering: Tests fields parameter for selective data retrieval
Tasks Integration: Complete lifecycle testing for tasks resource type
Cross-Resource Validation: Ensures consistent behavior across companies, people, lists, tasks
Error Handling: Validates graceful error responses and edge cases
Performance Monitoring: Tracks execution times and API response sizes

🛠️ Enhanced Assertions (7 New Methods):

// Available in test/e2e/utils/assertions.ts
expectValidPagination(result, params)        // Validates pagination behavior
expectFieldFiltering(result, fields)         // Validates field selection
expectValidTasksIntegration(result)          // Tasks-specific validation
expectSpecificError(result, errorType)       // Typed error validation
expectOptimalPerformance(result, budget)     // Performance validation
expectValidUniversalToolParams(params)       // Parameter validation
expectValidBatchOperation(result, records)   // Batch operation validation

📊 Performance Benchmarks:

Search Operations: < 1000ms per API call
CRUD Operations: < 1500ms per operation
Batch Operations: < 3000ms for 10 records
Field Filtering: < 500ms additional overhead
Pagination: < 200ms additional per offset

Unit & Integration Tests

# Unit Tests (no API required)
npm test                    # Run all tests
npm run test:offline        # Run only offline tests (206 tests)
npm run test:watch          # Watch mode for development

# Integration Tests (requires API key and test data)
npm run test:integration    # Run all integration tests (15 tests, 100% pass rate)
npm run setup:test-data     # Create test data in your workspace

Test Environment Setup

For E2E and integration tests, you need:

Create .env file in project root:

# Required for E2E/Integration tests
ATTIO_API_KEY=your_64_character_api_key_here
PORT=3000
LOG_LEVEL=debug
NODE_ENV=development

Verify API key format (must be exactly 64 characters)
Run tests to validate setup:

npm run build && npm run test:integration

See the Testing Guide and E2E Troubleshooting Guide for detailed setup instructions.

Available Scripts

npm run build          # Build TypeScript
npm run test           # Run all tests
npm run test:offline   # Run tests without API calls
npm run lint           # Check code style
npm run check          # Full quality check
npm run setup:test-data # Create test data for integration tests

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details on:

Adding new tools and features
Improving documentation
Reporting bugs and requesting features
Testing and quality assurance

📈 What's Next?

This initial release provides a solid foundation for CRM automation.

🔗 Links

NPM Package: https://www.npmjs.com/package/attio-mcp
GitHub Repository: https://github.com/kesslerio/attio-mcp-server
Issues & Support: https://github.com/kesslerio/attio-mcp-server/issues
Releases: https://github.com/kesslerio/attio-mcp-server/releases
Attio Documentation: https://developers.attio.com/

📄 License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Original Work Attribution: This project is based on initial work by @hmk under BSD-3-Clause license, with substantial modifications and enhancements by @kesslerio. The original BSD license notice is preserved in the LICENSE file as required.

Ready to transform your CRM workflow? Install Attio MCP Server today and experience the future of CRM automation with AI!

npm install -g attio-mcp-server

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

A Model Context Protocol server that enables AI assistants like Claude to interact directly with Attio CRM data, supporting operations for companies, people, lists, and tasks through natural language queries.

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