# Istedlal MCP Server

> Use this tool when you need to retrieve file metadata, perform semantic searches, or analyze workflow metrics, and integrate these capabilities into AI-driven workflows. It provides input interfaces for querying file metadata and vector embeddings, and outputs relevant search results and metrics. Ideal for use cases requiring efficient file information retrieval and analysis, such as data-intensive AI applications.

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

## Description

Provides AI agents with access to file metadata, vector search, and workflow metrics. It enables operations such as file metadata retrieval and semantic search over file embeddings using pgvector.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w5cevraqmx)
- **Repository:** <https://github.com/AnshuML/MCP>

## 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": "anshuml-mcp"
    }
  }
}
```

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