langchain-mcp-tools-ts vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
langchain-mcp-tools-ts by hideya | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 23 | ★ 85,748 |
| 30d uses | — | — |
| Score | 40 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsAI / LLM ToolsOther | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 2 mo ago | this month |
langchain-mcp-tools-ts · Summary
A TypeScript utility to convert MCP server tools into LangChain-compatible tools with schema adjustments for LLM compatibility.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
langchain-mcp-tools-ts · Use cases
- Integrating MCP tools like filesystem, GitHub, or Brave search with LangChain agents
- Creating custom LangChain applications using MCP servers without implementing MCP protocol
- Developing proof-of-concepts for AI applications that need access to external data sources
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
langchain-mcp-tools-ts · Install
Install with npm:
npm i @h1deya/langchain-mcp-toolsExample configuration for Claude Desktop (convert to MCP servers config):
{
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "."]
},
"github": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"]
}
}filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.