Connect AI agents to the FiscalAI MCP server
Vendor MCP2 toolsOAuth 2.1/DCRAnalyticsAIAccounting & FinanceThe FiscalAI MCP connector routes your AI agent's tool calls to FiscalAI's own MCP server through Scalekit. Each user signs in to FiscalAI once, and Scalekit stores and refreshes their tokens, so your agent never handles credentials. It comes with 2 tools.
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Install the SDK
Section titled “Install the SDK”Terminal window npm install @scalekit-sdk/node dotenvTerminal window pip install scalekit-sdk-python python-dotenv -
Set your credentials
Section titled “Set your credentials”Add your Scalekit credentials to your
.envfile. Find values in app.scalekit.com > Developers > API Credentials..env SCALEKIT_ENVIRONMENT_URL=<your-environment-url>SCALEKIT_CLIENT_ID=<your-client-id>SCALEKIT_CLIENT_SECRET=<your-client-secret> -
Authorize and make your first call
Section titled “Authorize and make your first call”quickstart.mts import { ScalekitClient } from '@scalekit-sdk/node'import 'dotenv/config'import { createInterface } from 'node:readline/promises'const scalekit = new ScalekitClient(process.env.SCALEKIT_ENVIRONMENT_URL,process.env.SCALEKIT_CLIENT_ID,process.env.SCALEKIT_CLIENT_SECRET,)const actions = scalekit.actionsconst connector = 'fiscalaimcp'const identifier = 'user_123'// Generate an authorization link for the userconst { link } = await actions.getAuthorizationLink({ connectionName: connector, identifier })console.log('Authorize FiscalAI MCP:', link)const rl = createInterface({ input: process.stdin, output: process.stdout })await rl.question('Press Enter after authorizing...')rl.close()// Make your first callconst result = await actions.executeTool({connector,identifier,toolName: 'fiscalaimcp_api_docs',toolInput: {},})console.log(result)Terminal window npx tsx quickstart.mtsquickstart.py import osfrom scalekit import ScalekitClientfrom dotenv import load_dotenvload_dotenv()scalekit_client = ScalekitClient(env_url=os.getenv("SCALEKIT_ENVIRONMENT_URL"),client_id=os.getenv("SCALEKIT_CLIENT_ID"),client_secret=os.getenv("SCALEKIT_CLIENT_SECRET"),)actions = scalekit_client.actionsconnection_name = "fiscalaimcp"identifier = "user_123"# Generate an authorization link for the userlink_response = actions.get_authorization_link(connection_name=connection_name,identifier=identifier,)print("Authorize FiscalAI MCP:", link_response.link)input("Press Enter after authorizing...")# Make your first callresult = actions.execute_tool(tool_input={},tool_name="fiscalaimcp_api_docs",connection_name=connection_name,identifier=identifier,)print(result)Terminal window python quickstart.py
What you can do
Section titled “What you can do”Connect this agent connector to let your agent:
- Execute code — Execute JavaScript code in a secure sandbox to call Fiscal.ai API functions via the codemode namespace and return results via console.log
- Docs api — Retrieve Fiscal.ai API documentation with TypeScript type definitions for all available functions
Tool list
Section titled “Tool list”Use the exact tool names from the Tool list below when you call execute_tool. If you’re not sure which name to use, list the tools available for the current user first.
fiscalaimcp_api_docs#Retrieve Fiscal.ai API documentation with TypeScript type definitions for all available functions.0 params
Retrieve Fiscal.ai API documentation with TypeScript type definitions for all available functions.
fiscalaimcp_execute_code#Execute JavaScript code in a secure sandbox to call Fiscal.ai API functions via the codemode namespace and return results via console.log.1 param
Execute JavaScript code in a secure sandbox to call Fiscal.ai API functions via the codemode namespace and return results via console.log.
codestringrequiredAsync arrow function to execute. Must be in async () => { ... } format using codemode.<function>() calls and console.log() for output.