Library Docs MCP Server

Created By
vikramdsea year ago
Library docs MCP server
Overview

What is Library Docs MCP Server?

Library Docs MCP Server is an MCP (Model Context Protocol) server designed to search and fetch documentation for popular libraries like Langchain, Llama-Index, MCP, and OpenAI using the Serper API.

How to use Library Docs MCP Server?

To use this server with Claude Desktop, update the claude_desktop_config.json file with the provided configuration to run the server and fetch documentation.

Key features of Library Docs MCP Server?

  • Search library documentation using natural language queries.
  • Supports multiple libraries including Langchain, Llama-Index, MCP, and OpenAI.
  • Utilizes the Serper API for site-specific searches.
  • Parses and returns documentation using BeautifulSoup.
  • Provides updated documentation for LLM models with knowledge cut-off dates.

Use cases of Library Docs MCP Server?

  1. Fetching real-time documentation for development and troubleshooting.
  2. Improving accuracy and relevance of responses in LLM applications.
  3. Accessing the latest updates for library documentation.

FAQ from Library Docs MCP Server?

  • Can this server fetch documentation for all libraries?

Currently, it supports Langchain, Llama-Index, MCP, and OpenAI, with the potential to add more libraries.

  • How does this server improve LLM responses?

It provides up-to-date documentation, which helps LLMs generate more accurate and relevant answers based on the latest information.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
vikramdse
Star
0
Language
Python
License
-

Recommend Servers

View All
Docwand

14 hours ago
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

14 hours ago