MCP Servers

ado-search-mcp

Enables search and management of Azure DevOps work items and wiki pages via MCP, wrapping the ado-search CLI.

README

ado-search-mcp

MCP server that wraps the ado-search CLI for Azure DevOps work item search and management.

Tools

Tool	Description
`ado_search`	Full-text search of indexed work items and wiki pages
`ado_grep`	Regex pattern search across work item fields
`ado_children`	List children/descendants of a work item
`ado_show`	Show full content of a work item or wiki page
`ado_list_links`	List links on a work item (live from ADO)
`ado_list_comments`	List comments on a work item (live from ADO)
`ado_fetch`	Fetch specific work items by ID into local store
`ado_create`	Create a new work item
`ado_update`	Update an existing work item
`ado_add_comment`	Add a comment to a work item
`ado_add_link`	Add a link between two work items
`ado_remove_link`	Remove a link between two work items

Prerequisites

Node.js 18+
ado-search CLI installed and on PATH
An initialized ado-search data directory (ado-search init && ado-search sync)

Setup

Clone and build:

git clone https://github.com/HurleySk/ado-search-mcp.git
cd ado-search-mcp
npm install
npm run build

Create a config file (ado-search-mcp.json):

{
  "dataDir": "/path/to/your/ado-search/data-dir",
  "adoSearchPath": "ado-search"
}

Add to your project's .mcp.json:

{
  "mcpServers": {
    "ado-search": {
      "command": "node",
      "args": ["/path/to/ado-search-mcp/dist/server.js"],
      "env": {
        "ADO_SEARCH_CONFIG": "/path/to/ado-search-mcp.json"
      }
    }
  }
}

Configuration

The server looks for config in this order:

ADO_SEARCH_CONFIG environment variable (path to JSON config file)
ado-search-mcp.json sidecar file next to dist/server.js
ADO_DATA_DIR environment variable (data directory path only)

License

MIT

Recommended Servers

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official

Featured

TypeScript

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official

Featured

Local

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official

Featured

TypeScript

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official

Featured

Python

E2B

Using MCP to run code via e2b.

Official

Featured

Neon Database

MCP server for interacting with Neon Management API and databases

Official

Featured

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official

Featured

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official

Featured