Firecent MCP Server
MCP server for Firecent, a personal finance app, enabling AI agents to read and manage financial data through REST API, including accounts, records, categories, and queries.
README
Firecent MCP Server
MCP (Model Context Protocol) server for Firecent — a personal finance app (Next.js 16 + Prisma 7 + PostgreSQL).
This server lets AI agents (like Hermes) read and manage financial data through Firecent's REST API:
- Accounts — list, get, create
- Records — list, get, create transactions (income, expense, transfer)
- Categories — list, get, create
- Query — flexible query endpoint
- Info — API key + permissions validation
Architecture
Same pattern as iris-mcp:
firecent-mcp/
├── mcp/
│ ├── index.ts # HTTP entry point (port 3000)
│ ├── tools/ # MCP tool registrations
│ ├── services/ # API service classes
│ ├── schemas/ # Zod input schemas
│ └── utils/ # API client + response helpers
├── package.json
└── tsconfig.json
Setup
bun install
Environment variables
Create .env:
API_URL=https://firecent.example.com
The API token is passed by the client via the Authorization: Bearer <token> header (or x-api-key).
Run
# Development (watch mode)
bun run dev
# Production
bun run start
The server runs on port 3000 with:
GET /— health check (HTML)POST /mcp— MCP protocol endpoint (requiresAuthorizationheader)
Available tools
Read tools
firecent_info— validate API key + permissionsfirecent_list_accounts— list all accountsfirecent_get_account— get account by IDfirecent_list_records— list records (paginated)firecent_get_record— get record by IDfirecent_list_account_records— list records for an accountfirecent_list_categories— list all categoriesfirecent_get_category— get category by IDfirecent_query— flexible query
Write tools
firecent_create_record— create transactionfirecent_create_account— create accountfirecent_create_category— create category
License
Private — Lumir Labs.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.