mcp-my-site
Health Warn
- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Low visibility — Only 5 GitHub stars
Code Pass
- Code scan — Scanned 10 files during light audit, no dangerous patterns found
Permissions Pass
- Permissions — No dangerous permissions requested
No AI report is available for this listing yet.
MCP my site: make your website answer AI agents
mcp-my-site
Point it at your website and ChatGPT, Claude and any other MCP client can search and read it.
A command-line indexer crawls the site and builds a hybrid keyword and vector index. A small
ASP.NET Core app serves that index as an MCP server with search and fetch tools, and as a JSON
search API for the site's own search box. One site per server, built for sites under 1,000 pages.
Try it now
A live instance indexes pournasserian.com:
| MCP endpoint | https://ai.pournasserian.com/mcp |
| Playground, an MCP client in the browser | https://ai.pournasserian.com/playground |
| Search API | https://ai.pournasserian.com/api/search?q=mcp%20caching |
| API reference | https://ai.pournasserian.com/docs |
claude mcp add --transport http pournasserian https://ai.pournasserian.com/mcp
Then ask Claude Code something about the site. For ChatGPT, add the endpoint as a connector; the
tools follow the search and fetch contract its connectors expect.

Quick start
You need the .NET 10 SDK. Nothing else: the first index is
keyword-only, so no API key is involved.
dotnet tool install --global mcpmysite
mcpmysite init https://example.com --keyword-only # writes appsettings.json
mcpmysite build # crawls the site into ./index
mcpmysite search "how can I contact you" # checks the index
docker run --rm -p 5000:8080 -v "$PWD/index:/index:ro" -e Index__Path=/index ghcr.io/pournasserian/mcp-my-site:latest
Without Docker, clone the repository and run the server from source withIndex__Path=index dotnet run --project src/McpMySite.Server from the clone, or publish it
(user guide). The indexer also runs from a clone asdotnet run --project src/McpMySite.Indexer -- ..., which is how to try unreleased changes.
The server is now at http://localhost:5000: /mcp for agents, /playground to try it in the
browser, /api/search?q=contact for JSON, /healthz for the loaded index.
claude mcp add --transport http mysite http://localhost:5000/mcp
Upgrade to hybrid search. Keyword search matches words; hybrid search also matches meaning, and
is what the live instance runs. It needs an API key for an OpenAI-compatible embeddings endpoint,
OpenRouter by default or another provider; the key is read
from AI_API_KEY and never written to a file. A small site embeds for a fraction of a cent.
export AI_API_KEY=sk-...
# in appsettings.json, under Embeddings, change "Enabled": false to true, then rebuild and serve
mcpmysite build
docker run --rm -p 5000:8080 -v "$PWD/index:/index:ro" -e Index__Path=/index -e AI_API_KEY ghcr.io/pournasserian/mcp-my-site:latest
Windows PowerShell and cmd, Docker without .NET on the host, and other MCP clients (VS Code,
Cursor, Claude Desktop) are in the user guide.
Features
- Hybrid search. BM25 keyword search and vector search over embeddings, fused per query, with a
keyword-only fallback when the embedding provider is unavailable. - Works without a key. A keyword-only index needs no embeddings provider at all; switch to
hybrid search later with one setting and a rebuild. - ChatGPT and Claude ready. Streamable HTTP MCP endpoint with
searchandfetchtools in the
shape ChatGPT connectors use, and server instructions generated from the site itself. Works with
Claude Code, Claude Desktop, VS Code, Cursor and the MCP Inspector. - Search API for your own site.
GET /api/searchwith CORS, rate limiting, an OpenAPI 3.1
document and an interactive reference. Drop-in snippet for a search box in the
user guide. - Playground.
/playgroundis a small MCP client in the page, so anyone can try the server
without installing anything. - Docker image.
docker pull ghcr.io/pournasserian/mcp-my-site:latest; mount the index or
point it at a URL. - Hot swap. The server polls the index source and swaps in a new build without a restart.
- Telemetry. OpenTelemetry traces, metrics and logs to Application Insights or any OTLP
collector. Query text is not logged unless you turn it on. - Any embeddings provider. OpenRouter by default; any OpenAI-compatible endpoint works.
Documentation
- User guide: installation, every setting, connecting clients, deployment,
troubleshooting, FAQ. - Architecture: how the indexer, the index format and the server fit
together. - Changelog and contributing.
Repository
| Path | What |
|---|---|
src/McpMySite.Core |
Index model and manifest, JSON and SQLite stores, hybrid search, embedding client |
src/McpMySite.Indexer |
The mcpmysite CLI: crawl, extract, chunk, embed, write |
src/McpMySite.Server |
ASP.NET Core app: MCP endpoint, search API, index loading, telemetry |
tests/McpMySite.Tests |
Unit and integration tests |
dotnet build
dotnet test
Questions and ideas go to Discussions;
bugs to Issues. Changes land on master
through pull requests only. MIT licence.
Reviews (0)
Sign in to leave a review.
Leave a reviewNo results found