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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Enables interaction with Attio CRM through natural language, using a Code Mode pattern where the LLM writes JavaScript to query the OpenAPI spec and call endpoints via three tools: search, execute, and context.

README.md

attio-mcp

Code Mode MCP server for Attio CRM. 130+ endpoints through 3 tools.

Built by Trial and Error Inc. Inspired by the Code Mode pattern from Cloudflare.

Why Code Mode?

| | Traditional MCP | Code Mode | |---|---|---| | Tools | 35+ (one per operation) | 3 (search, execute, context) | | Token cost | ~8,000 tokens for tool defs | ~800 tokens | | New endpoints | Update every tool definition | Zero changes | | Maintenance | Per-tool mapping | Just update the spec |

The LLM writes JavaScript to query the API spec and call endpoints directly. No tool-per-endpoint mapping. No bloat.

Quick Start

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

Create .env: `` ATTIO_API_KEY=your_api_key_here ``

Get your API key from Attio Settings > Developers > API Keys.

Claude Code

Add to your project's .mcp.json: ``json { "mcpServers": { "attio": { "command": "node", "args": ["/path/to/attio-mcp/dist/index.js"], "env": { "ATTIO_API_KEY": "your_api_key_here" } } } } ``

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json: ``json { "mcpServers": { "attio": { "command": "node", "args": ["/path/to/attio-mcp/dist/index.js"], "env": { "ATTIO_API_KEY": "your_api_key_here" } } } } ``

Tools

search(code)

Write JavaScript to explore the Attio API specification. Find endpoints, check parameters, discover schemas.

// Find all endpoints related to notes
const notes = Object.entries(spec.paths)
  .filter(([p]) => p.includes('notes'))
  .map(([path, methods]) => ({
    path,
    methods: Object.entries(methods).map(([m, op]) => ({
      method: m.toUpperCase(),
      summary: op.summary
    }))
  }));
return notes;

execute(code)

Write JavaScript to call the Attio API. Authentication is automatic.

// Find a company and create a note
const companies = await api.request({
  method: 'POST',
  path: '/v2/objects/companies/records/query',
  params: { filter: { name: { $contains: 'Acme' } }, limit: 1 }
});

const companyId = companies.data[0].id.record_id;

await api.request({
  method: 'POST',
  path: '/v2/notes',
  params: {
    data: {
      parent_object: 'companies',
      parent_record_id: companyId,
      title: 'Meeting Notes',
      content: 'Discussed Q1 roadmap...'
    }
  }
});

return { success: true, company: companies.data[0].values.name };

context(topic)

Look up Attio documentation by topic. Self-educate on the domain model before writing code.

context("lists")     → docs about lists, entries, stages
context("attributes") → attribute types (select, status, text, etc.)
context("categories") → all top-level doc groupings
context("all")       → full documentation index

test_connection()

Verify your API key works and see server stats.

Architecture

src/
├── auth/api-key.ts       # API key auth (15 lines)
├── api/client.ts         # HTTP client with rate limiting
├── spec/
│   ├── openapi.json      # Attio's OpenAPI spec (embedded)
│   └── loader.ts         # Pre-resolves $refs for agent traversal
├── context/
│   ├── llms.txt          # Attio's documentation index
│   └── loader.ts         # Topic-based doc search
├── executor/sandbox.ts   # Node.js vm sandbox (proven pattern)
├── server/mcp-server.ts  # 4 tools: search, execute, context, test_connection
└── index.ts              # Entry point

Security

  • API key is injected via environment variables, never exposed to LLM-generated code
  • Code execution runs in Node.js vm sandbox — no filesystem, no network, no env access
  • Only injected globals (spec, api) are available inside the sandbox
  • Output truncated at 40,000 characters to prevent context bloat

License

MIT — Trial and Error Inc

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