tool-disco
A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.
README
tool-disco
A tool discovery-oriented MCP (Model Context Protocol) server that matches tools to natural language goals. It integrates with Azure DevOps to discover tools documented in wikis and uses code-graph-rag for code analysis.
Features
- Natural Language Tool Discovery: Describe what you want to accomplish, and tool-disco finds matching tools
- Azure DevOps Integration: Scans organization wikis for tool documentation with front matter metadata
- Code Graph Integration: Ingests repositories via code-graph-rag-mcp for code analysis
- Tool Composition: Automatically generates multi-tool workflows
- Proxy Testing: Tests tool candidates using lightweight proxies, scripts, and simple models
Installation
npm install
npm run build
Usage
As an MCP Server
Add to your MCP client configuration:
{
"mcpServers": {
"tool-disco": {
"command": "node",
"args": ["/path/to/tool-disco/dist/index.js"]
}
}
}
Available Tools
discover_tools
Discover tools matching a natural language goal.
{
"goal": "I need to process CSV files and generate reports",
"context": "Working with sales data",
"constraints": ["Must handle large files", "Output as PDF"]
}
scan_azure_devops
Scan an Azure DevOps organization for repositories with wikis and extract tool metadata.
{
"organization": "https://dev.azure.com/myorg",
"pat": "your-personal-access-token",
"project": "optional-project-name"
}
ingest_repo
Ingest a repository into the code graph for tool discovery.
{
"repoUrl": "https://github.com/org/repo",
"repoName": "my-repo"
}
test_composition
Test a tool composition against the discovery goal.
{
"compositionId": "composed-tool1-tool2",
"inputs": { "file": "data.csv" }
}
list_candidates
List all registered tool candidates.
get_discovery_stats
Get statistics about discovered tools and ingested repositories.
Wiki Front Matter Format
Document tools in Azure DevOps wikis using YAML front matter:
---
toolName: data_processor
description: Processes data files and extracts insights
tags: data,processing,etl
timeout: 5000
implementation: scripts/processor.js
inputs:
file:
type: string
description: Path to the input file
---
# Data Processor
Documentation for the data processor tool...
Architecture
graph TB
subgraph "Tool Disco MCP Server"
ADO[Azure DevOps Integration]
CG[Code Graph Integration]
TD[Tool Discovery]
PT[Proxy Tester]
ADO --> TD
CG --> TD
TD --> PT
end
Development
# Install dependencies
npm install
# Build
npm run build
# Run tests
npm test
# Type check
npm run lint
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。