# Foundry Agents MCP Server

> Foundry Agents MCP Server — denniszielke-foundry-agents-mcp-server. Use this tool when you need to interact with Azure AI Foundry agents and workflows using natural language, or to perform semantic searches and manage indexes in a vector-database. It exposes AI capabilities as MCP tools, enabling efficient information retrieval and management. Ideal for use cases requiring intuitive AI-driven search and agent interaction, with inputs including natural language queries and outputs including relevant search results and index updates.

Canonical page: https://skillsregistry.net/skills/denniszielke-foundry-agents-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/denniszielke-foundry-agents-mcp-server

## Description

Exposes Azure AI Foundry agents, workflows, and AI Search vector-database capabilities as MCP tools, enabling natural language interaction with agents, semantic search, and index management.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xnkeymkmg5)
- **Repository:** <https://github.com/denniszielke/foundry-agents-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": "denniszielke-foundry-agents-mcp-server"
    }
  }
}
```

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