by sammcj
LlamaIndex integrates LlamaIndexTS to deliver AI question answer and code generation with top LLM providers for document
Provides access to multiple LLM providers through LlamaIndexTS for generating code, writing documentation, and answering questions directly from your MCP client.
LlamaIndex is a community-built MCP server published by sammcj that provides AI assistants with tools and capabilities via the Model Context Protocol. LlamaIndex integrates LlamaIndexTS to deliver AI question answer and code generation with top LLM providers for document It is categorized under ai ml, developer tools.
You can install LlamaIndex in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
LlamaIndex is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
We evaluated LlamaIndex against two servers with overlapping tools; this profile had the clearer scope statement.
We evaluated LlamaIndex against two servers with overlapping tools; this profile had the clearer scope statement.
Useful MCP listing: LlamaIndex is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, LlamaIndex benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
LlamaIndex is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
LlamaIndex has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
LlamaIndex has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
LlamaIndex is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We evaluated LlamaIndex against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, LlamaIndex benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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An MCP server that provides access to LLMs using the LlamaIndexTS library.
This MCP server provides the following tools:
generate_code: Generate code based on a descriptiongenerate_code_to_file: Generate code and write it directly to a file at a specific line numbergenerate_documentation: Generate documentation for codeask_question: Ask a question to the LLM
To install LLM Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @sammcj/mcp-llm --client claude
npm install
npm run build
The repository includes an example script that demonstrates how to use the MCP server programmatically:
node examples/use-mcp-server.js
This script starts the MCP server and sends requests to it using curl commands.
{
"description": "Create a function that calculates the factorial of a number",
"language": "JavaScript"
}
{
"description": "Create a function that calculates the factorial of a number",
"language": "JavaScript",
"filePath": "/path/to/factorial.js",
"lineNumber": 10,
"replaceLines": 0
}
The generate_code_to_file tool supports both relative and absolute file paths. If a relative path is provided, it will be resolved relative to the current working directory of the MCP server.
{
"code": "function factorial(n) {
if (n <= 1) return 1;
return n * factorial(n - 1);
}",
"language": "JavaScript",
"format": "JSDoc"
}
{
"question": "What is the difference between var, let, and const in JavaScript?",
"context": "I'm a beginner learning JavaScript and confused about variable declarations."
}
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.