# Financial Intelligence MCP Server

> Use this tool when you need to analyze and understand complex financial data, detect anomalies, and monitor model performance. It provides a range of ML-powered capabilities, including search, summarization, and graph analysis, to solve problems such as contract review, vendor risk assessment, and model drift detection. Ideal for use cases where financial insights and automated analysis are crucial, with inputs including financial data and contracts, and outputs including summarized reports and anomaly alerts.

Canonical page: https://skillsregistry.net/skills/bharathidonku7-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/bharathidonku7-mcp-server

## Description

A production-grade MCP server that provides financial ML tools including RAG search, anomaly detection, contract summarization, vendor graph analysis, and model drift monitoring using entirely free, open-source components.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pj29jztfq8)
- **Repository:** <https://github.com/BharathiD9/MCP-Server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "bharathidonku7-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bharathidonku7-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bharathidonku7-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt