mcp-wiki-server
Related Servers
Alternatives to mcp-wiki-server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityBmaintenanceMCP server that exposes one or more documentation folders (Markdown, MDX, TXT) to AI agents, enabling listing, reading, and searching of documentation files.-
- AlicenseNot gradedqualityDmaintenanceProvides AI assistants with direct access to local Markdown documentation libraries, enabling them to list, read, and search through docs on demand.MIT
- AlicenseNot gradedqualityBmaintenanceEnables any compatible MCP client or AI agent to retrieve documentation from a local directory of Markdown, HTML, or TXT files via a remote, read-only MCP server.1MIT
- AlicenseNot gradedqualityBmaintenanceEnables agents to semantically search and read curated local markdown knowledge bases through MCP, with optional CLI and dashboard tooling.MIT
- AlicenseNot gradedqualityDmaintenanceProvides direct access to local documentation files through simple search and overview tools, enabling LLMs to query project-specific markdown documentation without requiring vector databases or RAG pipelines.MIT
- AlicenseAqualityAmaintenanceEnables AI agents to discover, read, search, and install Markdown-based knowledge (rules, skills, workflows) from a local directory via MCP tools.1237 npm1MIT
TDQS
Scored across 2 tools
The two tools serve clearly distinct purposes: search_docs finds documents by keyword, while read_doc retrieves the full content of a known document by path. There is no overlap or ambiguity between them.
Both tools use a verb_noun pattern (search_docs, read_doc), making the pattern predictable. There is a minor inconsistency in pluralization—search_docs is plural while read_doc is singular—but it does not cause confusion.
With only two tools, the server feels minimally scoped. This is appropriate for a simple read-only wiki, but it is on the thin side and offers no additional utility beyond search and read.
For a read-only documentation server, the search-and-read lifecycle is complete. The only notable gap is the lack of a way to list or browse all documents without a search query, which could be a minor workaround in some cases.