A Model Context Protocol (MCP) server for document ingestion, chunking, semantic search, and note management.
A Model Context Protocol (MCP) server for document ingestion, chunking, semantic search, and note management.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
add-note — Add a new note to the in-memory note storeArguments — name (string), content (string)ingest-string — Ingest and chunk a markdown or plain text string provided via messageingest-markdown — Ingest and chunk a markdown (.md) fileingest-python — Ingest and chunk a Python (.py) fileingest-openapi — Ingest and chunk an OpenAPI JSON fileingest-html — Ingest and chunk an HTML fileingest-html-url — Ingest and chunk HTML content from a URL (optionally using Playwright for dynamic content)smart_ingestion — Extracts all technically relevant content from a file using Gemini, then chunks it using robust markdown logicsearch-chunks — Semantic search over ingested contentdelete-source — Delete all chunks from a given sourcedelete-chunk-by-id — Delete one or more chunks by idadd-note — Add a new note to the in-memory note storeingest-string — Ingest and chunk a markdown or plain text string provided via messageingest-markdown — Ingest and chunk a markdown (.md) fileingest-python — Ingest and chunk a Python (.py) fileingest-openapi — Ingest and chunk an OpenAPI JSON fileingest-html — Ingest and chunk an HTML fileingest-html-url — Ingest and chunk HTML content from a URL (optionally using Playwright for dynamic content)smart_ingestion — Extracts all technically relevant content from a file using Gemini, then chunks it using robust markdown logic.search-chunks — Semantic search over ingested contentdelete-source — Delete all chunks from a given sourcedelete-chunk-by-id — Delete one or more chunks by idupdate-chunk-type — Update the type attribute for a chunk by idingest-batch — Ingest and chunk multiple documentation files (markdown, OpenAPI JSON, Python) in batchCompare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| add-note | Add a new note to the in-memory note store |
| ingest-string | Ingest and chunk a markdown or plain text string provided via message |
| ingest-markdown | Ingest and chunk a markdown (.md) file |
| ingest-python | Ingest and chunk a Python (.py) file |
| ingest-openapi | Ingest and chunk an OpenAPI JSON file |
| ingest-html | Ingest and chunk an HTML file |
| ingest-html-url | Ingest and chunk HTML content from a URL (optionally using Playwright for dynamic content) |
| smart_ingestion | Extracts all technically relevant content from a file using Gemini, then chunks it using robust markdown logic. |
| search-chunks | Semantic search over ingested content |
| delete-source | Delete all chunks from a given source |
| delete-chunk-by-id | Delete one or more chunks by id |
| update-chunk-type | Update the type attribute for a chunk by id |
| ingest-batch | Ingest and chunk multiple documentation files (markdown, OpenAPI JSON, Python) in batch |
{
"mcpServers": {
"doc-lib-mcp": {
"command": "uv",
"args": [
"--directory",
"/home/administrator/python-share/doc-lib-mcp",
"run",
"doc-lib-mcp"
]
}
}
}Maintainer configuration example. Replace example paths and credential placeholders before connecting.
| Variable | Description | Required |
|---|---|---|
| OLLAMA_HOST | Endpoint or connection string the server talks to. | Optional |
| RERANKER_MODEL_PATH | Filesystem location the server is allowed to use. | Optional |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
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Use the Supabase MCP server to inspect database schemas, query project data and retrieve docs through a project-scoped connection.
Search Linear issues and projects, inspect work context and manage updates through Linear’s hosted MCP server with OAuth.