Verifies news stories, mines SEO keywords, builds schema and reviews your draft. You write it.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
One-click editor setup isnβt available for this listing yet β we donβt have a confirmed install command, and weβd rather show nothing than point your editor at the wrong package or host. Follow the projectβs own setup instructions, linked above.
Give it a news headline or a topic and it verifies the story is real, downloads the sources, extracts the facts with attribution, mines the keywords, writes the article, and builds the SEO, schema, banner prompt and publishing pack around it.
Two independent publishers, or it will not draft. Wire reprints are detected, so six outlets running one Reuters story are not mistaken for six sources, and a wide date spread downgrades confidence rather than passing silently.
Every fact traces to a source it fetched, not to a model's memory. Facts,
quotes and figures carry their source_url, and build_schema rejects reference
links that are aggregator redirects rather than real publisher URLs.
You choose the banner. With no style picked there is no image prompt in the
result at all, and save_and_present refuses the package. The tool asks; it does
not decide for you.
It will not hand you a post without the numbers. save_and_present refuses
unless the SEO audit and the AI-word check have both run, so the finished post
always arrives with its scores attached.
The prose is machine-written and the tool says so. Without a detector API key
score_ai_text reports Not measured rather than inventing a reassuring number
β a local style score measures cliche density and sentence rhythm, which is not a
prediction of what a detector will say. If the byline is going to claim a person
wrote it, that is your call to make with your eyes open; review_draft exists so
the draft gets edited rather than published raw.
It runs with zero API keys. Every credential is an upgrade, not a requirement. See No keys? Start here.
Download newsblog-composer-<version>.mcpb from
Releases.
Claude Desktop β Settings β Extensions β Advanced settings β Install Extension.
Toggle the extension off and on. On Windows the X button only minimises to the tray, so without this the old server keeps running.
Add this line to a Claude project's instructions, or to Customize so it applies to every chat:
When I ask for a blog post, an article, or a news write-up, always use the NewsBlog Composer tools. Start with
write_blog_post. Never search the web and draft the article yourself.
Ask for a post. It asks for your byline, company and blog domain once.
Step 4 is not optional. A host's system prompt reads "write me a blog post"
as "search the web and make an artifact", and an MCP server's instructions
field cannot outrank that β there is no API for a server to claim priority.
Without the line the client answers from web search and never mentions the
extension. Naming the server in the request works for one-offs.
Extensions are desktop only. On mobile or the web app there is nothing to call, and the client answers from web search without saying so.
That gives you the newsblog-mcp command, which speaks MCP over stdio.
Check it reaches the network before wiring it into a client β if search is blocked by a proxy or VPN, this is where you find out:
Create .vscode/mcp.json in your workspace:
Reload the window, then open Chat in Agent mode β the tools appear under the
tools picker. Use the full path to newsblog-mcp (or to the venv's Python with
"args": ["-m", "newsblog_mcp.server"]) if the command is not on your PATH.
.mcp.json in your project:
%APPDATA%\Claude\claude_desktop_config.json on Windows,
~/Library/Application Support/Claude/claude_desktop_config.json on macOS:
The .mcpb above does this for you and is the easier route.
Launch newsblog-mcp (or python -m newsblog_mcp.server) and speak MCP over
stdio. For a remote client, newsblog-mcp --http serves a streamable HTTP
endpoint β see Publishing and connecting.
Installed from PyPI, the server writes to your user data directory, so nothing is lost when you upgrade:
| Windows | %LOCALAPPDATA%\newsblog-composer-mcp |
| macOS | ~/Library/Application Support/newsblog-composer-mcp |
| Linux | ~/.local/share/newsblog-composer-mcp |
That folder holds profile.json (the identity you set at first run), output/
(every generated post) and an optional .env. Set NEWSBLOG_DATA_DIR to put
them somewhere else. Run from a cloned checkout instead and everything stays in
the project folder, beside the code.
python -m newsblog_mcp.diagnose prints the exact paths for your install.
Claude Desktop / Claude Code run it over stdio, which is what the install section above sets up.
ChatGPT cannot spawn a local process, so stdio will never reach it. Run the same server over HTTP and deploy it behind HTTPS:
Then in ChatGPT: Settings β Connectors β Advanced β Developer mode, then Add
custom connector pointing at https://your-host/mcp. Custom connectors need a
Pro, Team, Enterprise or Edu plan.
Publishing to the MCP Registry needs the package on PyPI first, then the
mcp-publisher CLI with server.json in this repo. Four things must line up or
the publish is rejected:
name must match the authenticated GitHub account: io.github.<username>/newsblog-composerdescription must be 100 characters or fewerpackages[].version must be a release that already exists on PyPImcp-name: <that same name> on its own line. The
registry proves package ownership by reading the description PyPI serves for
that exact version, so the marker has to be in the release you uploaded, not
just in the repo. It is the HTML comment at the top of this file.Three levels, cheapest first.
1. Offline, no network β proves the logic.
272 checks covering schema parity, the SEO audit, AI-word detection, publisher identity behind aggregator links, clustering, the publishing pack, the derived image concept, the trademark filter and the install paths. All should pass in about two seconds.
2. Network β proves search reaches you.
One line per provider with timings, then the verdict. What you want to see is
independent_publishers naming several real outlets and reference_candidates
holding real publisher URLs.
3. A whole post, end to end.
Builds a complete package from a real story using facts already in the file, and
prints the keywords, schema validation, AI-word check, human score and SEO score
before writing the output folder. Use it as the reference for what a good run
looks like. examples\build_mistral_example.py does the same for the
hand-written reference post.
4. In Claude Desktop, after restarting it. Say it the way you normally would β you should not have to name the tools:
Write me a blog post about ""
The server should answer by calling write_blog_post, then verify_news, and
work through to the finished package, ending with the post rendered in an
artifact and the publishing details printed in the chat.
If the client searches the web and writes its own markdown file instead, the extension did not trigger. Two things to check, in order:
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