# nexacorp-mcp-agent

> nexacorp-mcp-agent — phalakmehta-nexacorp-mcp-agent. Use this tool when you need to query an enterprise knowledge base and retrieve relevant information, enabling autonomous agents to search and retrieve data. It solves problems of information retrieval and knowledge base querying, providing a hybrid RAG pipeline for efficient searching. The tool takes in queries as input and outputs relevant information, making it ideal for use cases requiring dense and sparse retrieval with reranking.

Canonical page: https://skillsregistry.net/skills/phalakmehta-nexacorp-mcp-agent  
JSON: https://api.skillsregistry.net/v1/skills/phalakmehta-nexacorp-mcp-agent

## Description

A Model Context Protocol server that exposes a hybrid RAG pipeline (dense+sparse retrieval with reranking) for querying an enterprise knowledge base, enabling autonomous agents to search and retrieve relevant information.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ksehhwsinq)
- **Repository:** <https://github.com/phalakmehta/nexacorp-mcp-agent>

## 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": "phalakmehta-nexacorp-mcp-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/phalakmehta-nexacorp-mcp-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/phalakmehta-nexacorp-mcp-agent/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