Websharp

Name: Websharp
Author: jgador

by jgadorversion v0.99.0-rc2i★ –iRuns on your computer

Registry nameio.github.jgador/websharp

Install

Overview

Description from the maker (original English)

Search the web and extract article text for LLMs.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: Streamable HTTP
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "websharp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/jessegador/websharp-mcp:v0.99.0-rc2"
      ]
    }
  }
}

Run this in your terminal

claude mcp add websharp -- docker run -i --rm docker.io/jessegador/websharp-mcp:v0.99.0-rc2

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "websharp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/jessegador/websharp-mcp:v0.99.0-rc2"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "websharp": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/jessegador/websharp-mcp:v0.99.0-rc2"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account jgador, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 5684 servers in this category
Published to the registry more recently than 0% of the other 5684 servers in this category
Basic checks equal to or better than 100% of the other 5684 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Websharp safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (v0.99.0-rc2) reached the registry 14 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 972.7K/wk★ 64.2KUpdated 2 days ago

Computer or cloud

Install

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 18K/wk★ 48.1KUpdated 22 days ago

Runs on your computer

Install

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

by exa-labsGrowing★ 5.2KUpdated 2 months ago

Runs in the cloud✓ exa.ai

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

WebSharp MCP HTTP Server

WebSharp is a Model Context Protocol (MCP) server written in C# (.NET 9) that exposes web search and readable page extraction tools over the streamable HTTP transport. It pairs a SearXNG metasearch instance with the SmartReader content extraction library and ships with Docker assets so you can run everything locally with one command.

Highlights

Streamable HTTP MCP endpoint served by ASP.NET Core via ModelContextProtocol.AspNetCore.
SearXNG-backed metasearch tool that returns both a readable summary and structured JSON metadata.
SmartReader-powered page reader tools for single URLs or batches, ideal for grounding and fact checking workflows.
Container-first development story with Docker Compose and an inspector-ready .mcp.json profile.

Available MCP tools

`web_search`

Parameter	Type	Default	Notes
`query`	string	_required_	Free-form search string submitted to the configured search backend (defaults to SearXNG).
`limit`	integer	10	Maximum number of results to surface in the text summary. When set to `0` or negative, the parameter is omitted and the backend decides the result count.
`categories`	string	`"general"`	Comma-separated categories forwarded to the backend (for SearXNG, examples include `general,it,science`).
`language`	string	`"en"`	Language tag forwarded to the backend. When using the default SearXNG instance, see its language list.

Response

Text summary showing the top results, related suggestions, and any unresponsive engines.
structuredContent contains a JSON object with:
query: echo of the evaluated query string.
items: array of result objects (title, url, content, engine/engines, category, positions, parsed_url).
suggestions: related queries returned by the backend (SearXNG surfaces them when available).
unresponsive_engines: list of engines that timed out or failed, with optional messages.
error: present when the search could not be completed.

`web_page_read`

Parameter	Type	Default	Notes
`urls`	array	_required_	One or more absolute HTTP/HTTPS URLs to fetch and parse.

Response

When a single URL is provided, returns the article title, excerpt, a preview of the readable text (~800 characters), and footer metadata (source URL, detected language).
When multiple URLs are provided, the summary includes overall success/failure counts, per-page details (title, URL, full text, language), and error messages for any failures. Requests run concurrently and honor the MCP cancellation token.
structuredContent is not populated; all data is returned in the text block.

Run everything with Docker Compose

Install Docker Desktop (or another OCI-compatible runtime) and ensure it is running.
From the repository root, start both the SearXNG dependency and the MCP server: docker compose -f docker-compose.yaml --project-name websharp up -d (add --build on the first run or whenever the Dockerfile changes).
Wait until the websharp-mcp container reports Now listening on: http://0.0.0.0:8080.
The MCP server is now reachable at http://localhost:8081 (mapped from container port 8080). SearXNG is available at http://localhost:8080/ for inspection.

Build the Docker image manually

Run the server image build without Docker Compose from the repository root:

docker build -f .\src\WebSharp.Mcp.Http\Dockerfile -t jessegador/websharp-mcp:v0.99.0-rc2 --no-cache src

Update -t to match the image registry and tag you plan to publish.

Connect with the MCP Inspector

Start (or keep running) the compose stack above.
Launch the Inspector with the included client profile: npx -y @modelcontextprotocol/inspector --config .\.mcp.json --server websharp-mcp
Copy the printed token into the Inspector UI by opening http://localhost:6274/?MCP_PROXY_AUTH_TOKEN= in your browser.
In the Inspector UI, pick the websharp-mcp server to explore the available tools and try calls right away.

Running from source

Install the .NET 9 SDK.
Ensure you have access to a SearXNG endpoint. The easiest option is to keep using the Docker Compose service and export Searxng__BaseUrl to http://localhost:8080 before starting the app.
Launch the server: dotnet run --project src/WebSharp.Mcp.Http/WebSharp.Mcp.Http.csproj --urls http://localhost:8081
The MCP endpoint listens on /. In DEBUG builds you can hit /__routes to inspect the configured ASP.NET endpoints.

Configuration

Environment variable	Default	Description
`ASPNETCORE_URLS`	`http://0.0.0.0:8080` (Docker)	Listening address(es) for the HTTP server. Override to change the exposed MCP port.
`Searxng__BaseUrl`	`http://searxng:8080`	Base URL of the SearXNG instance. Required if you are not running the bundled Docker service. Must be an absolute URI.
`Cors__AllowAnyOrigin`	`true`	Permit all origins. Set to `false` when you want to limit callers via `Cors__AllowedOrigins__0=` style keys.
`Cors__AllowAnyHeader`	`true`	Allow all request headers.
`Cors__AllowAnyMethod`	`true`	Allow all HTTP methods.
`Cors__AllowCredentials`	`false`	When `true`, credentials are accepted and you must explicitly enumerate origins.
`Cors__AllowedOrigins__{n}`	_(empty)_	Optional origin allowlist entries when `AllowAnyOrigin` is `false`.
`Cors__AllowedHeaders__{n}`	_(empty)_	Optional header allowlist.
`Cors__AllowedMethods__{n}`	_(empty)_	Optional method allowlist.

All configuration values can also be supplied via appsettings.json/appsettings.Development.json. The Docker Compose definition mounts the correct defaults for local experimentation.

Using a different SearXNG instance

Point Searxng__BaseUrl at your hosted SearXNG deployment (for example https://searxng.example.com).
Make sure the endpoint you target exposes the SearXNG Search API and permits the categories/languages you request.
Consider adjusting the bundled searxng/settings.yml to tune activated engines, safe search, or rate limits before publishing to the MCP registry.

Security notes

The HTTP transport does not include authentication. Run behind a reverse proxy, tunnel, or VPN when exposing beyond localhost.
CORS defaults to permissive settings for debugging. Tighten them before deploying to shared environments.
The server respects MCP cancellation tokens, and page fetches enforce short HTTP timeouts to avoid hanging client sessions.

Registry metadata

Name: websharp-mcp
Transport: streamable-http
Endpoint: /
See .mcp.json for a ready-to-use inspector profile.

License

This project is available under the MIT license (see LICENSE).

Websharp

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

WebSharp MCP HTTP Server

Highlights

Available MCP tools

web_search

web_page_read

Run everything with Docker Compose

Build the Docker image manually

Connect with the MCP Inspector

Running from source

Configuration

Using a different SearXNG instance

Security notes

Registry metadata

License

`web_search`

`web_page_read`