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Glama
COOLFEATHER

LLM Wiki MCP Server

by COOLFEATHER

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
CHAT_MODELNoChat model namedeepseek-chat
EMBED_MODELNoEmbedding model nametext-embedding-3-small
EMBED_API_KEYNoEmbedding API key (required when EMBED_PROVIDER=api)
EMBED_API_URLNoEmbedding API URL
EMBED_PROVIDERNoEmbedding mode: api / local / offlocal
OPENAI_API_KEYNoLLM chat API key (needed for ingest and --llm mode)
OPENAI_BASE_URLNoCompatible OpenAI API endpoint, e.g., https://api.deepseek.com

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
ingestA

编译一份原始素材为 Wiki 页(提取概念/建链/标矛盾)。

queryA

混合检索 + 链接扩展,返回相关 Wiki 片段。

write_wikiA

新建一个 Wiki 页(自动生成 frontmatter)。

read_wikiA

读取一个 Wiki 页全文(含 frontmatter)。

rebuild_indexA

全量重建向量 + BM25 索引(从现有 Wiki 页)。

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.8/5.0

Scored across 5 tools

Disambiguation5/5

Each tool targets a distinct operation: query for retrieval, write_wiki for creating pages, read_wiki for reading pages, rebuild_index for indexing maintenance, and ingest for processing raw material into wiki pages. There is minimal overlap, and descriptions clarify any potential confusion.

Naming Consistency3/5

The naming pattern is mixed: two tools use verb_noun style (write_wiki, read_wiki), one uses verb_noun but for a different object (rebuild_index), while two tools are single-word verbs (query, ingest). This inconsistency makes the set less predictable, though still readable.

Tool Count5/5

With 5 tools, the set is well-scoped for a wiki server, covering creation, reading, searching, indexing, and ingestion. It is neither too thin nor too heavy, and each tool serves a clear purpose.

Completeness3/5

The set covers create, read, query, index rebuild, and ingestion, but notably lacks update and delete operations for wiki pages. This creates a gap in the typical CRUD lifecycle, which agents may need to work around.

Maintenance

ActivitySlowing
ResponsivenessNo issues