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Eugene Yurtsev
2025-03-17 23:28:56 -04:00
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.vs/
.vscode/
.idea/
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
docs/docs/_build/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
notebooks/
# IPython
profile_default/
ipython_config.py
# pyenv
.python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.envrc
.venv
.venvs
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# macOS display setting files
.DS_Store
# Wandb directory
wandb/
# asdf tool versions
.tool-versions
/.ruff_cache/
*.pkl
*.bin
# integration test artifacts
data_map*
\[('_type', 'fake'), ('stop', None)]
# Replit files
*replit*
node_modules
docs/.yarn/
docs/node_modules/
docs/.docusaurus/
docs/.cache-loader/
docs/_dist
docs/api_reference/api_reference.rst
docs/api_reference/experimental_api_reference.rst
docs/api_reference/_build
docs/api_reference/*/
!docs/api_reference/_static/
!docs/api_reference/templates/
!docs/api_reference/themes/
docs/docs_skeleton/build
docs/docs_skeleton/node_modules
docs/docs_skeleton/yarn.lock
# Any new jupyter notebooks
# not intended for the repo
Untitled*.ipynb
Chinook.db
.vercel
.turbo

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.PHONY: all lint format test help start_mcp test_integration
# Default target executed when no arguments are given to make.
all: help
######################
# TESTING AND COVERAGE
######################
# Define a variable for the test file path.
TEST_FILE ?= tests/unit_tests
test:
uv run pytest --disable-socket --allow-unix-socket $(TEST_FILE)
test_watch:
uv run ptw . -- $(TEST_FILE)
.PHONY: test_integration
######################
# LINTING AND FORMATTING
######################
# Define a variable for Python and notebook files.
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=. --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$')
lint lint_diff:
[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || uv run ruff check $(PYTHON_FILES) --diff
# [ "$(PYTHON_FILES)" = "" ] || uv run mypy $(PYTHON_FILES)
format format_diff:
[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --fix $(PYTHON_FILES)
generate_examples:
uv run langgraph-gen examples/agentic_rag/spec.yml --language python
uv run langgraph-gen examples/agentic_rag/spec.yml --language typescript
uv run langgraph-gen examples/rag/spec.yml --language python
uv run langgraph-gen examples/rag/spec.yml --language typescript
######################
# HELP
######################
help:
@echo '===================='
@echo '-- LINTING --'
@echo 'format - run code formatters'
@echo 'lint - run linters'
@echo 'spell_check - run codespell on the project'
@echo 'spell_fix - run codespell on the project and fix the errors'
@echo '-- TESTS --'
@echo 'coverage - run unit tests and generate coverage report'
@echo 'test - run unit tests'
@echo 'test TEST_FILE=<test_file> - run all tests in file'
@echo '-- DOCUMENTATION tasks are from the top-level Makefile --'

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# MCP LLMS-TXT Documentation Server
A Model Control Protocol (MCP) server for serving documentation from llms.txt files.
## Installation
```bash
pip install mcp-mcpdoc
```
## Usage
### Command-line Interface
The `mcpdoc` command provides a simple CLI for launching the documentation server. You can specify documentation sources in three ways, and these can be combined:
1. Using a YAML config file:
```bash
mcpdoc --yaml sample_config.yaml
```
This will load the LangGraph Python documentation from the sample_config.yaml file.
2. Using a JSON config file:
```bash
mcpdoc --json sample_config.json
```
This will load the LangGraph Python documentation from the sample_config.json file.
3. Directly specifying llms.txt URLs with optional names:
```bash
mcpdoc --urls https://langchain-ai.github.io/langgraph/llms.txt LangGraph:https://langchain-ai.github.io/langgraph/llms.txt
```
URLs can be specified either as plain URLs or with optional names using the format `name:url`.
You can also combine these methods to merge documentation sources:
```bash
mcpdoc --yaml sample_config.yaml --json sample_config.json --urls https://langchain-ai.github.io/langgraph/llms.txt
```
### Additional Options
- `--follow-redirects`: Follow HTTP redirects (defaults to False)
- `--timeout SECONDS`: HTTP request timeout in seconds (defaults to 10.0)
Example with additional options:
```bash
mcpdoc --yaml sample_config.yaml --follow-redirects --timeout 15
```
This will load the LangGraph Python documentation with a 15-second timeout and follow any HTTP redirects if necessary.
### Configuration Format
Both YAML and JSON configuration files should contain a list of documentation sources. Each source must include an `llms_txt` URL and can optionally include a `name`:
#### YAML Configuration Example (sample_config.yaml)
```yaml
# Sample configuration for mcp-mcpdoc server
# Each entry must have a llms_txt URL and optionally a name
- name: LangGraph Python
llms_txt: https://langchain-ai.github.io/langgraph/llms.txt
```
#### JSON Configuration Example (sample_config.json)
```json
[
{
"name": "LangGraph Python",
"llms_txt": "https://langchain-ai.github.io/langgraph/llms.txt"
}
]
```
### Programmatic Usage
```python
from mcpdoc.main import create_server
# Create a server with documentation sources
server = create_server(
[
{
"name": "LangGraph Python",
"llms_txt": "https://langchain-ai.github.io/langgraph/llms.txt",
},
# You can add multiple documentation sources
# {
# "name": "Another Documentation",
# "llms_txt": "https://example.com/llms.txt",
# },
],
follow_redirects=True,
timeout=15.0,
)
# Run the server
server.run(transport="stdio")
```

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mcpdoc/__init__.py Normal file
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#!/usr/bin/env python3
"""Command-line interface for mcp-llms-txt server."""
import argparse
import json
import sys
from typing import List, Dict
import yaml
from mcp_llms_txt.main import create_server, DocSource
def parse_args() -> argparse.Namespace:
"""Parse command-line arguments."""
parser = argparse.ArgumentParser(
description="MCP LLMS-TXT Documentation Server",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
# Allow combining multiple doc source methods
parser.add_argument(
"--yaml", "-y", type=str, help="Path to YAML config file with doc sources"
)
parser.add_argument(
"--json", "-j", type=str, help="Path to JSON config file with doc sources"
)
parser.add_argument(
"--urls",
"-u",
type=str,
nargs="+",
help="List of llms.txt URLs with optional names (format: 'url' or 'name:url')",
)
parser.add_argument(
"--follow-redirects",
action="store_true",
help="Whether to follow HTTP redirects",
)
parser.add_argument(
"--timeout", type=float, default=10.0, help="HTTP request timeout in seconds"
)
parser.add_argument(
"--transport",
type=str,
default="stdio",
choices=["stdio", "http", "websocket"],
help="Transport protocol for MCP server",
)
return parser.parse_args()
def load_config_file(file_path: str, file_format: str) -> List[Dict[str, str]]:
"""Load configuration from a file.
Args:
file_path: Path to the config file
file_format: Format of the config file ("yaml" or "json")
Returns:
List of doc source configurations
"""
try:
with open(file_path, "r", encoding="utf-8") as file:
if file_format.lower() == "yaml":
config = yaml.safe_load(file)
elif file_format.lower() == "json":
config = json.load(file)
else:
raise ValueError(f"Unsupported file format: {file_format}")
if not isinstance(config, list):
raise ValueError("Config file must contain a list of doc sources")
return config
except (FileNotFoundError, yaml.YAMLError, json.JSONDecodeError) as e:
print(f"Error loading config file: {e}", file=sys.stderr)
sys.exit(1)
def create_doc_sources_from_urls(urls: List[str]) -> List[DocSource]:
"""Create doc sources from a list of URLs with optional names.
Args:
urls: List of llms.txt URLs with optional names (format: 'url' or 'name:url')
Returns:
List of DocSource objects
"""
doc_sources = []
for entry in urls:
if ":" in entry and not entry.startswith(("http:", "https:")):
# Format is name:url
name, url = entry.split(":", 1)
doc_sources.append({"name": name, "llms_txt": url})
else:
# Format is just url
doc_sources.append({"llms_txt": entry})
return doc_sources
def main() -> None:
"""Main entry point for the CLI."""
args = parse_args()
# Load doc sources based on command-line arguments
doc_sources: List[DocSource] = []
# Check if any source options were provided
if not (args.yaml or args.json or args.urls):
print(
"Error: At least one source option (--yaml, --json, or --urls) is required",
file=sys.stderr,
)
sys.exit(1)
# Merge doc sources from all provided methods
if args.yaml:
doc_sources.extend(load_config_file(args.yaml, "yaml"))
if args.json:
doc_sources.extend(load_config_file(args.json, "json"))
if args.urls:
doc_sources.extend(create_doc_sources_from_urls(args.urls))
# Create and run the server
server = create_server(
doc_sources,
follow_redirects=args.follow_redirects,
timeout=args.timeout,
)
print(
f"Starting MCP LLMS-TXT server with {len(doc_sources)} doc sources",
file=sys.stderr,
)
server.run(transport=args.transport)
if __name__ == "__main__":
main()

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"""A server for just langgraph docs from langchain-ai.github.io.
This is used as a way to test the doc functionality via MCP.
"""
# /usr/bin/env python3
import httpx
from markdownify import markdownify
from mcp.server.fastmcp import FastMCP
server = FastMCP(name="llms-txt")
ALLOWED_PREFIX = "https://langchain-ai.github.io/"
HTTPX_CLIENT = httpx.AsyncClient(follow_redirects=False)
@server.tool()
async def get_docs(url: str = "overview") -> str:
"""Get langgraph docs.
Always fetch the `overview` prior to fetching any other URLs as it will provide a
list of available URLs.
Args:
url: The URL to fetch. Must start with https://langchain-ai.github.io/
or be "overview".
"""
if url == "overview":
url = "https://langchain-ai.github.io/langgraph/llms.txt"
if not url.startswith(ALLOWED_PREFIX):
return (
"Error: Invalid url. Must start with https://langchain-ai.github.io/ "
'or be "overview"'
)
response = await HTTPX_CLIENT.get(url)
response.raise_for_status()
if response.status_code == 200:
# Convert HTML to markdown
markdown_content = markdownify(response.text)
return markdown_content
else:
return "Encountered an error while fetching the URL."
if __name__ == "__main__":
server.run(transport="stdio")

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"""MCP Llms-txt server for docs."""
from typing import TypedDict, List, NotRequired
from urllib.parse import urlparse
import httpx
from markdownify import markdownify
from mcp.server.fastmcp import FastMCP
class DocSource(TypedDict):
"""A source of documentation for a library or a package."""
name: NotRequired[str]
"""Name of the documentation source (optional)."""
llms_txt: str
"""URL to the llms.txt file or documentation source."""
description: NotRequired[str]
"""Description of the documentation source (optional)."""
def extract_domain(url: str) -> str:
"""Extract domain from URL.
Args:
url: Full URL
Returns:
Domain with scheme and trailing slash (e.g., https://example.com/)
"""
parsed = urlparse(url)
return f"{parsed.scheme}://{parsed.netloc}/"
def create_server(
doc_source: List[DocSource],
*,
follow_redirects: bool = False,
timeout: float = 10,
) -> FastMCP:
"""Create the server and generate tools."""
server = FastMCP(name="llms-txt")
httpx_client = httpx.AsyncClient(follow_redirects=follow_redirects, timeout=timeout)
@server.tool()
def list_doc_sources() -> str:
"""List all available doc sources. Always use this first."""
content = ""
for entry in doc_source:
name = entry.get("name", "") or extract_domain(entry["llms_txt"])
content += f"{name}\n"
content += "URL: " + entry["llms_txt"] + "\n\n"
return content
# Parse the domain names in the llms.txt URLs
allowed_domains = [extract_domain(entry["llms_txt"]) for entry in doc_source]
@server.tool()
async def fetch_docs(url: str) -> str:
"""Use this to fetch documentation from a given URL.
Always use list doc sources before fetching documents.
"""
nonlocal allowed_domains
if not any(url.startswith(domain) for domain in allowed_domains):
return (
"Error: URL not allowed. Must start with one of the following domains: "
+ ", ".join(allowed_domains)
)
try:
response = await httpx_client.get(url, timeout=timeout)
response.raise_for_status()
return markdownify(response.text)
except (httpx.HTTPStatusError, httpx.RequestError) as e:
return f"Encountered an HTTP error with code {e.response.status_code}"
return server

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[project]
name = "mcpdoc"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
"httpx>=0.28.1",
"markdownify>=1.1.0",
"mcp[cli]>=1.4.1",
"pyyaml>=6.0.1",
]
[project.scripts]
mcpdoc = "mcpdoc.cli:main"
[dependency-groups]
test = [
"ruff>=0.11.0",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

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[
{
"name": "LangGraph Python",
"llms_txt": "https://langchain-ai.github.io/langgraph/llms.txt"
}
]

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sample_config.yaml Normal file
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# Sample configuration for mcp-llms-txt server
# Each entry must have a llms_txt URL and optionally a name
- name: LangGraph Python
llms_txt: https://langchain-ai.github.io/langgraph/llms.txt

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