KnowledgeRail
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| WIKI_ROOT | No | Root directory of the project whose knowledge is managed. Omit to use the server process working directory. | |
| KNOWLEDGE_RAIL_OCR_MODE | No | OCR mode: 'ollama' (default) or 'native'. | ollama |
| KNOWLEDGE_RAIL_OCR_MODEL | No | OCR model to use. | glm-ocr:latest |
| KNOWLEDGE_RAIL_NATIVE_HOST | No | Native OCR base URL. | http://localhost:5002 |
| KNOWLEDGE_RAIL_OCR_RETRIES | No | Retry count for OCR. | |
| KNOWLEDGE_RAIL_OLLAMA_HOST | No | Ollama base URL for OCR. | http://localhost:11434 |
| KNOWLEDGE_RAIL_OCR_TIMEOUT_MS | No | Positive request timeout in milliseconds for OCR. | |
| KNOWLEDGE_RAIL_EMBEDDING_MODEL | No | Embedding model name. Required to enable semantic retrieval. | |
| KNOWLEDGE_RAIL_EMBEDDING_API_KEY | No | Optional API key for the embeddings endpoint. | |
| KNOWLEDGE_RAIL_EMBEDDING_BASE_URL | No | Base URL for OpenAI-compatible embeddings endpoint. Required to enable semantic retrieval. | |
| KNOWLEDGE_RAIL_MERMAID_NO_SANDBOX | No | Set to 'true' to disable Chromium sandbox for Mermaid rendering. Only for controlled CI/container environments. | |
| KNOWLEDGE_RAIL_EMBEDDING_DIMENSIONS | No | Dimensions of the embedding model. Required to enable semantic retrieval. | |
| KNOWLEDGE_RAIL_EMBEDDING_TIMEOUT_MS | No | Optional timeout in milliseconds for embeddings requests. | |
| KNOWLEDGE_RAIL_EMBEDDING_MODEL_VERSION | No | Optional model version for the embeddings endpoint. |
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
} |
| prompts | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| knowledge_contextD | Evidence/gaps, pages, search, and graph. |
| knowledge_pageC | Page CRUD and durable log. |
| knowledge_filesC | Controlled source files and PDFs: list, read, normalize to Markdown. |
| knowledge_ingestD | Source ingestion, claims, coverage, recovery. |
| knowledge_codeD | Code index, symbols, callers, fallback. |
| knowledge_document_contextD | Document plans and section evidence. |
| knowledge_documentC | Write or review evidence-backed documents. |
| knowledge_adminD | Initialize/inspect/rebuild, client setup, lint/repair, drift, and migration. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| plan_document | Generate an editorial plan (sections, writers, context packs, checklist) for a document in docs/deliverables. |
| plan_dev_report | Return the required development-report template to complete before wiki ingestion. |
| prepare_knowledge_update | Generate a valid wiki draft from a gap and the available evidence. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| wiki-schema | Wiki conventions and workflow |
| wiki-log | Wiki operations log |
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/Deviank88/KnowledgeRail'
If you have feedback or need assistance with the MCP directory API, please join our Discord server