# Provenance-Aware Retrieval MCP Server

> Provenance-Aware Retrieval MCP Server — raveena01-enterprise-context-retrieval. Use this tool when you need to retrieve precise and trustworthy information from a knowledge graph, with features like get_fact and search_documents that provide accurate answers along with source citations. It solves problems related to information reliability and transparency by exposing a provenance-aware knowledge graph to AI agents. Ideal for use cases where verified information and credible sources are crucial, such as research, decision-making, and fact-checking applications.

Canonical page: https://skillsregistry.net/skills/raveena01-enterprise-context-retrieval  
JSON: https://api.skillsregistry.net/v1/skills/raveena01-enterprise-context-retrieval

## Description

Exposes a provenance-aware knowledge graph to AI agents over MCP, providing tools like get_fact and search_documents that return precise answers with source citations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bcmviqsp3l)
- **Repository:** <https://github.com/Raveena01/enterprise-context-retrieval>

## 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": "raveena01-enterprise-context-retrieval"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raveena01-enterprise-context-retrieval` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raveena01-enterprise-context-retrieval/pull`

---
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