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Model-Context-Protocol-servers

adi2355/Model-Context-Protocol-servers

This repository contains a collection of purpose-built Model Context Protocol servers, each designed around a specific capability: web scraping and structured data extraction, codebase navigation and analysis, LLM-powered text generation, and JSON querying.

Install

See repository

Setup steps are in the repository README.

Open README
Author
@adi2355
Category
Other, Developer Tools
License
MIT
Updated
Oct 6, 2026

About Model-Context-Protocol-servers

Every server exposes its functionality as MCP tools and resources, making them composable building blocks for AI agent workflows.

The servers span two language ecosystems — TypeScript for the Firecrawl integration and DeepSeek/JSON servers, Python for the codebase analysis server — and follow the MCP SDK conventions for tool definitions, resource URIs, and transport configuration (stdio and HTTP).

Tools (24)

  • firecrawl_scrape

    Scrape a single page with format selection (markdown, HTML, screenshots), custom actions, and content filtering

  • firecrawl_map

    Discover all URLs on a website and generate a site map

  • firecrawl_crawl

    Recursively crawl a website with depth and page limits

  • firecrawl_batch_scrape

    Scrape multiple URLs concurrently with queue-based processing

  • firecrawl_check_batch_status

    Poll the status of an in-progress batch scrape job

  • firecrawl_check_crawl_status

    Poll the status of an in-progress crawl job

  • firecrawl_search

    Search the web and return scraped content from results

  • firecrawl_extract

    LLM-powered structured data extraction using a caller-defined JSON schema

  • firecrawl_deep_research

    Multi-step research workflow that scrapes, synthesizes, and reports on a topic

  • firecrawl_leafly_strain

    Extract standardized cannabis strain data (cannabinoids, terpenes, effects, flavors, interactions)

  • search_function

    Find function definitions across Python, JavaScript, and TypeScript files

  • search_code

    Full-text search across all code files in a directory tree

  • get_project_structure

    Generate a tree-view representation of the project directory

  • analyze_dependencies

    Parse and analyze project dependency manifests

  • find_components

    Discover React and React Native component definitions

  • deepseek_r1

    Generate text using the DeepSeek Reasoner model (optimized for complex reasoning)

  • deepseek_summarize

    Condense text into a summary

  • deepseek_stream

    Stream text generation with chunked output

  • deepseek_multi

    Generate text using a caller-specified DeepSeek model variant

  • deepseek_document

    Process documents: summarize, extract entities, or analyze sentiment

  • query

    Query JSON data using JSONPath expressions with array operations

  • filter

    Filter JSON arrays by field conditions (equality, range, pattern matching)

  • save_query

    Persist query results to disk for later retrieval

  • compare_json

    Diff two JSON datasets and report structural/value differences

Details on this page are taken from the project's README. Open README

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