LLM Wiki MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| CHAT_MODEL | No | Chat model name | deepseek-chat |
| EMBED_MODEL | No | Embedding model name | text-embedding-3-small |
| EMBED_API_KEY | No | Embedding API key (required when EMBED_PROVIDER=api) | |
| EMBED_API_URL | No | Embedding API URL | |
| EMBED_PROVIDER | No | Embedding mode: api / local / off | local |
| OPENAI_API_KEY | No | LLM chat API key (needed for ingest and --llm mode) | |
| OPENAI_BASE_URL | No | Compatible 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
| Capability | Details |
|---|---|
| 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
| Name | Description |
|---|---|
| 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
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/COOLFEATHER/LLMwiki_mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server