The 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.
- Tools
- 2
- What they doRead · write · destructive
- 2 · 0 · 02 read0 write0 destructive
- Users sign in with
- OAuth
- OAuth app
- Scalekit's or your own
Setup
Install the SDK
Terminal window npm install @scalekit-sdk/node dotenvTerminal window pip install scalekit-sdk-python python-dotenvSet 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>Create the FiscalAI MCP connection
In AgentKit > Connections, create a FiscalAI MCP connection. The name you give it is the
connection_nameyour code passes. See Configure connections.Scalekit credentials are available for FiscalAI MCP server, so you don't need to register an OAuth app.
Authorize a user 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.pyEach user signs in once. See Authorize a user for the full flow and statuses.
Tools
Pass the exact name toexecute_toolfiscalaimcp_api_docsRetrieve Fiscal.ai API documentation with TypeScript type definitions for all available functions.Read-onlyApi Docs
Retrieve Fiscal.ai API documentation with TypeScript type definitions for all available functions.
Inputs
This tool takes no inputs.
fiscalaimcp_execute_codeExecute JavaScript code in a secure sandbox to call Fiscal.ai API functions via the codemode namespace and return results via console.log.Read-onlyExecute Code
Execute JavaScript code in a secure sandbox to call Fiscal.ai API functions via the codemode namespace and return results via console.log.
Inputs
codestringrequired- Async arrow function to execute. Must be in async () => { ... } format using codemode.<function>() calls and console.log() for output.
No tools match.