A compact documentation MCP server needs three things: a way to find relevant pages, a way to retrieve the source content, and stable source details that let a client identify what it used. A practical starting point is a search_docs tool plus a retrieval tool such as get_doc; URI-addressable MCP resources are another option, and the two approaches can coexist. The right design depends on the client workflow and where the corpus lives.
Choose tools, resources, or both
MCP separates callable operations from contextual data. Tools let a client invoke server-defined functions; resources expose data identified by URI. The protocol does not require one particular interface for documentation search.
| Interface | Fits best when | Typical documentation workflow |
|---|---|---|
| Search and retrieval tools | The client needs query-driven ranking, filters, or focused retrieval. | Call search_docs with a query; use a returned source ID with get_doc or get_source. |
| MCP resources | Documents have stable URIs and the client benefits from listing and reading them directly. | Discover documents with resources/list, then read a selected URI with resources/read. |
| Both | Search is useful for discovery, while resource URIs are useful for direct reads or reuse. | Search returns canonical resource URIs, and the client reads selected pages as resources. |
Resource discovery and retrieval are distinct protocol operations: resources/list can paginate, while resources/read returns content for a URI. A tool-based design can instead tailor search and retrieval to the client’s query-and-result workflow.
Design a small search-and-retrieval workflow
Return focused search results
Start with a search_docs tool that accepts a query and only the filters the corpus genuinely needs. Each result should identify the source reliably and help the client decide whether to fetch it: return a stable source ID, canonical URI, human-readable title, and a short excerpt. Ranking is an implementation choice, not a protocol guarantee.
#1 Best Overall
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Retrieve the selected source
Let the client follow up with a source ID or URI through get_doc, get_source, or resources/read. A retrieval tool can optionally return a selected passage or range when the client has enough context to request one. This split keeps ordinary search responses focused instead of returning entire pages for every match.
Bound large results
Paginate large resource listings rather than assuming the whole corpus fits in one response. For tool results, keep excerpts concise and make full content available through the follow-up retrieval operation. This is a practical design choice: MCP’s resource listing supports pagination, while the protocol does not prescribe a search ranking method or a universal result-size limit.
Rank #2
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Keep track of the source
Keep a durable source key or canonical URI separate from its display title. Titles can change or collide; a stable identifier lets a client connect a search result, retrieved passage, and later citation. The resource specification defines metadata including URI, name, title, description, and MIME type, and its example annotations include lastModified.
- Document record: preserve the stable identifier, canonical URI, title or name, MIME type, and upstream version or modification date when available.
- Passage record: preserve the parent document identifier and, when available, a section heading or offset so a passage can be traced back to its location. This passage-level structure is an implementation recommendation, not a mandated MCP schema.
- Date integrity: report dates only when they reflect the upstream content. Resource annotations can help clients filter by audience, prioritize context, display modification times, or sort by recency.
When the upstream does not expose a version or modification date, omit it rather than implying that the server knows how current the content is. Do not describe results as live or current unless the implementation actually refreshes its index or source store.
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Rank #3
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Protect resource access
Resource identifiers are part of the server’s security boundary. The MCP resource specification dated 2025-06-18 says, “Servers MUST validate all resource URIs,” and advises access controls for sensitive resources.
- Validate each incoming URI or source identifier against the server’s allowed corpus; reject paths or identifiers that escape it.
- Apply authorization before returning content if documents include private or restricted material. A valid URI alone should not grant access.
- Return a clear not-found error for missing sources. The dated resource specification identifies
-32002for resource not found and-32603for internal errors.
Choose a runtime and transport for deployment
A small server does not automatically need to be hosted remotely. Choose based on where the corpus lives, who needs access, and which connection mode the intended client supports.
Rank #4
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| Deployment option | Documented example | Consider when |
|---|---|---|
| Local stdio | The MCP TypeScript SDK v2 documentation includes a one-file stdio server example and lists Node.js, Bun, and Deno. | The server and corpus can run alongside a local client, and a local process fits the workflow. |
| Hosted Streamable HTTP | OpenAI documents its hosted read-only docs MCP using Streamable HTTP. | Clients need to connect to a shared remote service or the corpus is deployed centrally. |
These are documented patterns, not requirements. The TypeScript SDK v2 documentation labels v2 the stable release line implementing the 2026-07-28 specification and lists Node.js, Bun, and Deno. Check the SDK and specification versions when implementing, because MCP guidance evolves.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Plan for changing content and tool definitions
If documents change, decide how the server refreshes its source store or search index and make that cadence clear to users. The 2025-06-18 resource specification makes resource subscriptions and list-change notifications optional; advertise or implement them only if the server supports the corresponding behavior.
The Tool Desk
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- Powerful Pass-Through Charging: Supports up to 85W pass-through charging so you can power up your laptop while you use the hub. Note: Pass-through charging requires a charger (not included). Note: To achieve full power for iPad, we recommend using a 45W wall charger.
- Transfer Files in Seconds: Move files to and from your laptop at speeds of up to 5 Gbps via the USB-C and USB-A data ports. Note: The USB C 5Gbps Data port does not support video output.
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- What You Get: Anker 332 USB-C Hub (5-in-1), welcome guide, our worry-free 18-month warranty, and friendly customer service.
Clients should not assume tool schemas or availability are permanent. Microsoft’s Learn MCP repository recommends discovering current tool definitions at runtime, refreshing them after errors that suggest a stale or missing schema, and responding to list-change notifications. That guidance helps avoid hard-coding one client’s assumptions into a server interface.
Patterns in official documentation MCPs
Official documentation servers illustrate the search-then-fetch pattern, with differences in endpoints and tool design:
- OpenAI Docs MCP provides read-only search and page-content access for documentation on
developers.openai.com,platform.openai.com, andlearn.chatgpt.com. Its documentation describes a hosted Streamable HTTP endpoint and setup instructions for Codex, VS Code, Cursor, and Claude Code. - Google Developer Knowledge MCP documents the global endpoint
https://developerknowledge.googleapis.com/mcpand tools namedsearch_documents,answer_query, andget_documents. Its reference saysget_documentscan retrieve one document or up to 20 documents in a call; the page was updated 2026-08-19 UTC. - Microsoft Learn MCP provides search and fetch tools for Learn documentation and code samples, and recommends dynamic tool discovery and refreshing definitions when they change.
These examples show workable patterns rather than a required schema or setup recipe for every client. A small server can stay focused on a search operation, a retrieval operation, and accurate source identity.
Quick Recap
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