
Markdown Sidecar MCP Server
A server that provides structured access to markdown documentation from NPM packages, Go Modules, or PyPi packages, enabling informed code generation by exposing these docs as resources or tools.
README
<div align="center"> <a href="https://www.speakeasy.com/" target="_blank"> <picture> <img width="500" src="https://github.com/user-attachments/assets/90832ba3-1513-497d-b7cf-29368ece57c8" alt="Speakeasy"> </picture> </a> </div>
Markdown Sidecar MCP Server
This provides a structured way to serve and access markdown documentation from an MCP server for NPM packages, Go Modules, or PyPi packages. It enables informed code generation by exposing these markdown files as resources
or tools
.
[!NOTE]
Note: Many PyPi packages do not have markdown docs exposed, so this library will also mount pythonhelp
root docs by default.
This is designed to be executed from within a project directory where the requested packages are already installed locally. Access always stays within your local environments working directory.
Installation
npx -y markdown-sidecar-mcp
Arguments
workingDir
: The working directory of your repo.packageName
: The name of the package or module to requestregistry
: Registry the package will be found in (npm
,gomodules
, orpypi
)docsSubDir
: [OPTIONAL] The specific subdirectory to look for markdown docs in. Defaults to package root.mcpPrimitive
: [OPTIONAL] The MCP primitive to expose from the server (tool
orresource
). This defaults totool
, some clients do not currently support resources.
Cursor Installation Steps
Add the following server definition to your .cursor/mcp.json
file:
{
"mcpServers": {
"sidecar": {
"command": "npx",
"args": [
"-y", "--package", "markdown-sidecar-mcp",
"--",
"mcp", "start",
"--workingDir", "{REPO_WORKING_DIR}",
"--packageName", "{PACKAGE_NAME}",
"--registry", "npm"
]
}
}
}
Development
# Install dependencies
npm i
# Build
npm run build
# Run with Bun
npm run build:mcp
Contributing
- Fork the repository
- Create your feature branch
- Commit your changes and push them up
- Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
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.
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.
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.
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.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.