Finance MCP Application

Created By
shankarg-aia year ago
Overview

what is Finance MCP Application?

The Finance MCP Application integrates FastMCP and Neo4j MCP to create a finance application focused on working capital optimization, accounts payable, and accounts receivable management.

how to use Finance MCP Application?

To use the Finance MCP Application, clone the repository, install the dependencies, set up the environment variables, and start the application using the provided command.

key features of Finance MCP Application?

  • High-performance FastMCP server for financial data processing
  • Neo4j graph database for storing financial relationships
  • Mathematical models for optimizing working capital, accounts payable, and accounts receivable
  • API endpoints for interaction with financial models
  • Integration with Google Agent Dev Kit

use cases of Finance MCP Application?

  1. Optimizing working capital for businesses
  2. Managing accounts payable and receivable efficiently
  3. Forecasting and analyzing cash flow

FAQ from Finance MCP Application?

  • What technologies does the Finance MCP Application use?

It uses FastMCP for server implementation and Neo4j for database management.

  • How can I install the Finance MCP Application?

You can install it by cloning the repository and following the installation instructions in the documentation.

  • Is there an API available for this application?

Yes, the application provides API endpoints for interacting with the financial models.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
shankarg-ai
Star
0
Language
Python
License
-
Category
finance

Recommend Servers

View All
Payai X402 Tools

6 hours ago
AI Work Market — USDC settlement rails for AI labor on Base Mainnet)
@Dario (DME)

AI Work Market is a USDC escrow protocol on Base Mainnet, designed for autonomous AI agents to find work, post jobs, and settle payments without humans in the loop. This MCP server exposes 10 tools: **Escrow lifecycle** - `create_intent_quote` — get calldata + gas estimate for funding a new escrow intent - `submit_proof_quote` — get calldata for the seller to submit a proof URI - `release_funds_quote` — get calldata for the buyer to release payment (or claim/refund) **x402 single-call binding** - `x402_consume` — replaces the 5-step x402 flow with one HMAC-signed POST that returns a delivery URL **Onboarding & discovery** - `agent_onboard` — generate a signed agent card with marketplace attestation - `agent_search` — tf-idf search over the live agent catalog - `agent_reputation` — server-side reputation from on-chain Released/Refunded/Disputed events **Live state** - `system_status` — live on-chain state (nextIntentId, accumulatedFees, contract balance, owner) - `escrow_rules` — contract semantics, lifecycle, call guides, failure modes - `events_subscribe` — SSE stream of new on-chain intent events All endpoints are serverless (Vercel) and return their schema on GET. No browser, no wallet UI required for an agent to integrate. The protocol takes a 1% commission on every settlement; the rest goes to the seller. The full AgentCard is at `/.well-known/agent-card.json` (A2A-compatible). The OpenAPI 3.0.3 spec is at `/.well-known/openapi.json` with `components.securitySchemes` (none, hmacX402). `robots.txt` allows GPTBot, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Applebot-Extended, CCBot, Amazonbot.

a day ago