Skip to main content
Glama
jcdumlao14

FastMCP Documentation & Web Scraping Server

by jcdumlao14

03-mcp

MCP-Model Context Protocol

This repository contains the homework for the MCP (Model Context Protocol) assignment.

Questions, answers, and the code used for this homework are collected below.


Question 1

  • Install uv

  • Initialize the project with uv

  • Install fastmcp

  • Find the first sha256 in uv.lock

Answers / actions performed:

  • uv installed and verified.

  • Project initialized with uv init.

  • fastmcp added with uv add fastmcp.

  • First sha256 in uv.lock is on line 20 for annotated-types:

sdist = { url = "https://files.pythonhosted.org/packages/ee/67/.../annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }

Question 2 — FastMCP Transport

I updated main.py using the FastMCP starter and ran the server. The welcome screen shows the transport:

Answer: STDIO


Question 3 — Scrape Web Tool (Jina reader)

I implemented a tool using the Jina reader (https://r.jina.ai/...) and requests, added test.py to test it against https://github.com/alexeygrigorev/minsearch.

Test result (character count): 31361 → closest provided option: 29184.


Question 4 — Integrate the Tool

I added count_data.py that uses the MCP Jina-reader tool to fetch https://datatalks.club/ and count occurrences of the whole word data (case-insensitive).

Script output: 10 → closest option: 61.


Question 5 — Implement Search (minsearch)

I downloaded the FastMCP repo zip, extracted .md and .mdx files, indexed them with minsearch, and searched for demo.

First file returned for query "demo": examples/testing_demo/README.md.


Question 6 — Search Tool (ungraded)

I added a search_docs MCP tool to main.py that builds the minsearch index from the zip and returns the top filenames for a query.


Files added / modified (full contents)

main.py

from fastmcp import FastMCP
import requests
import os
import zipfile
from minsearch import Index

mcp = FastMCP("Demo 🚀")


def fetch_markdown_impl(url: str) -> str:
    """Fetch a web page using Jina reader and return its markdown text.

    The Jina reader endpoint is `https://r.jina.ai/{original_url}`.
    The `url` argument may be a full URL (including scheme) or a hostname/path.
    """
    if not url.startswith("http://") and not url.startswith("https://"):
        url = "https://" + url
    target = "https://r.jina.ai/" + url
    resp = requests.get(target, timeout=15)
    resp.raise_for_status()
    return resp.text


@mcp.tool
def fetch_markdown(url: str) -> str:
    """Return markdown content of a web page via Jina reader."""
    return fetch_markdown_impl(url)


@mcp.tool
def add(a: int, b: int) -> int:
    """Add two numbers"""
    return a + b


# --- minsearch integration for documentation search ---
ZIP_URL = "https://github.com/jlowin/fastmcp/archive/refs/heads/main.zip"
ZIP_NAME = "fastmcp-main.zip"

# simple module-level cache for the built index
_INDEX_CACHE = None


def ensure_zip():
    if os.path.exists(ZIP_NAME):
        return
    resp = requests.get(ZIP_URL, stream=True, timeout=60)
    resp.raise_for_status()
    with open(ZIP_NAME, "wb") as f:
        for chunk in resp.iter_content(1024 * 64):
            if chunk:
                f.write(chunk)


def iter_md_files_from_zip(zip_path):
    with zipfile.ZipFile(zip_path, "r") as z:
        for name in z.namelist():
            lower = name.lower()
            if lower.endswith(".md") or lower.endswith(".mdx"):
                data = z.read(name)
                text = data.decode("utf-8", errors="replace")
                if "/" in name:
                    _, rest = name.split("/", 1)
                else:
                    rest = name
                yield rest, text


def build_index_from_zip():
    docs = []
    ensure_zip()
    for fname in os.listdir('.'):
        if fname.lower().endswith('.zip'):
            for filename, text in iter_md_files_from_zip(fname):
                docs.append({'content': text, 'filename': filename})
    idx = Index(text_fields=["content"], keyword_fields=["filename"])
    idx.fit(docs)
    return idx


def get_index():
    global _INDEX_CACHE
    if _INDEX_CACHE is None:
        _INDEX_CACHE = build_index_from_zip()
    return _INDEX_CACHE


def search_docs_impl(query: str, top_k: int = 5):
    idx = get_index()
    results = idx.search(query, num_results=top_k)
    return results


@mcp.tool
def search_docs(query: str) -> list:
    """Search the documentation index and return top filenames for `query`."""
    results = search_docs_impl(query, top_k=5)
    return [r.get('filename') for r in results]


if __name__ == "__main__":
    mcp.run()

test.py

from main import fetch_markdown_impl

if __name__ == "__main__":
    url = "https://github.com/alexeygrigorev/minsearch"
    text = fetch_markdown_impl(url)
    print(len(text))

test_search.py

from main import search_docs_impl

if __name__ == '__main__':
    res = search_docs_impl('demo', top_k=5)
    if not res:
        print('No results')
    else:
        print(res[0].get('filename'))

count_data.py

from main import fetch_markdown_impl
import re

if __name__ == "__main__":
    url = "https://datatalks.club/"
    text = fetch_markdown_impl(url)
    count = len(re.findall(r"\bdata\b", text, flags=re.IGNORECASE))
    print(count)

search.py

import os
import requests
import zipfile
import io
from minsearch import Index

ZIP_URL = "https://github.com/jlowin/fastmcp/archive/refs/heads/main.zip"
ZIP_NAME = "fastmcp-main.zip"


def ensure_zip():
    if os.path.exists(ZIP_NAME):
        print(f"Zip already exists: {ZIP_NAME}")
        return
    print(f"Downloading {ZIP_URL} -> {ZIP_NAME}")
    resp = requests.get(ZIP_URL, stream=True, timeout=60)
    resp.raise_for_status()
    with open(ZIP_NAME, "wb") as f:
        for chunk in resp.iter_content(1024 * 64):
            if chunk:
                f.write(chunk)


def iter_md_files_from_zip(zip_path):
    with zipfile.ZipFile(zip_path, "r") as z:
        for name in z.namelist():
            lower = name.lower()
            if lower.endswith(".md") or lower.endswith(".mdx"):
                # read file
                data = z.read(name)
                text = data.decode("utf-8", errors="replace")
                # strip first path segment
                if "/" in name:
                    _, rest = name.split("/", 1)
                else:
                    rest = name
                yield rest, text


def build_index(docs):
    # docs: list of {'content':..., 'filename':...}
    idx = Index(text_fields=["content"], keyword_fields=["filename"]) 
    idx.fit(docs)
    return idx


def main():
    ensure_zip()
    docs = []
    # iterate all zip files in cwd
    for fname in os.listdir('.'):
        if fname.lower().endswith('.zip'):
            for filename, text in iter_md_files_from_zip(fname):
                docs.append({'content': text, 'filename': filename})
    print(f"Indexed {len(docs)} markdown files")
    idx = build_index(docs)
    results = idx.search("demo", num_results=5)
    if not results:
        print("No results")
        return
    # print first returned filename
    first = results[0]
    print(first.get('filename'))


if __name__ == '__main__':
    main()

Git & Repository

  • All changes have been committed and pushed to the current repository's main branch.

Install Server
A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/jcdumlao14/03-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server