ia-cae-zurekin-mcp
This server provides authenticated access to the internal CAE Zurekin website, enabling you to search, retrieve, and extract structured content from pages.
search_pages: Search for content within the site by query, with optional section filtering and configurable result limits (1–20).get_page: Retrieve a specific page by full URL or relative path.extract_page_content: Extract structured content from a page URL, with options to include links and tables.list_sections: List navigable sections starting from a given root path (defaults to/).
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ia-cae-zurekin-mcpsearch for risk assessment documents"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
IA CAE Zurekin MCP Server
Node.js MCP server for authenticated querying of the internal CAEZ Urekin website.
What's included
search_pages: searches for content on the authenticated siteget_page: retrieves a specific pageextract_page_content: returns structured contentlist_sections: lists navigable links from a root page
Related MCP server: wikijs-mcp
Requirements
Node.js 18+
A server or environment to run this project outside the editor
Adjust the login logic to the actual website if the form does not match the default values
Configuration
Copy
.env.exampleto.envComplete or adjust the environment variables
Install dependencies:
npm install
Start the server:
npm start
Main variables
CAEZ_BASE_URL: base URL of the internal siteCAEZ_USERNAME: access usernameCAEZ_PASSWORD: access passwordCAEZ_LOGIN_URL: exact login URL if different from the baseCAEZ_LOGIN_USER_FIELD: actual name of the username field in the formCAEZ_LOGIN_PASSWORD_FIELD: actual name of the password field in the formCAEZ_LOGIN_EXTRA_FIELDS: JSON with extra form fields, if anyCAEZ_SEARCH_PATH: internal search path if the site has a specific URL for searching
Preloaded configuration for your case
The example has already been adjusted with this base:
CAEZ_LOGIN_URL=https://interna.caezurekin.biz/caezurekinCAEZ_LOGIN_USER_FIELD=usernameCAEZ_LOGIN_PASSWORD_FIELD=password
Likely adjustments
It is very likely that you will still need to adapt:
the authentication flow if there are redirects, CSRF tokens, or SSO
the search logic if the site does not have a clear endpoint
any additional hidden form fields, if they exist
Usage with your custom MCP
When you deploy it, the MCP connection must point to this server, not directly to the internal website.
Available Tools
4 toolsextract_page_contentC
Extrae el contenido estructurado de una p�gina.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| include_tables | No | ||
| include_links | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description bears full burden. It implies a read operation ('extracts') but does not disclose side effects, idempotency, error handling, or any behavioral traits. Insufficient for a tool with zero annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, concise and front-loaded. No extraneous information. However, lacks structure (e.g., bullet points), but this does not detract from its brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 3 parameters, no output schema, and no annotations, the description is too brief. Does not explain what 'structured content' means, how boolean parameters affect extraction, or the output format. Inadequate for effective agent usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 0% coverage (no property descriptions). The description does not explain what include_tables or include_links do, nor does it add any meaning beyond the schema. The description adds zero value for parameter understanding.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool extracts structured content from a page, using a specific verb and resource. It distinguishes from siblings like get_page (likely raw content) and list_sections (sections), but does not explicitly differentiate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like get_page or list_sections. No context about prerequisites or scenarios where this tool is preferred.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_pageC
Obtiene una p�gina concreta del sitio.
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | ||
| path | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description must disclose behavioral traits. It only says 'Gets' without confirming read-only status, authentication needs, or rate limits. The description adds minimal transparency beyond the tool's name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is overly brief (one sentence), sacrificing necessary detail for brevity. It omits parameter explanations and usage context, making it under-specified rather than concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema and no parameter descriptions, the tool's behavior is almost entirely undocumented. The agent lacks info on return values, error handling, or how input fields relate to page retrieval, resulting in very poor completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not explain the meaning or expected format of parameters 'url' and 'path'. Without any parameter information, the agent cannot construct valid calls effectively.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Gets a specific page of the site' provides a verb and resource but is vague, not distinguishing it from siblings like extract_page_content or list_sections. A clearer purpose would specify what 'get' means (e.g., retrieve metadata, content, or both).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool over siblings. For instance, should users call get_page before extract_page_content? No alternatives or exclusions mentioned, leaving the agent without decision context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_sectionsC
Lista secciones navegables del sitio.
| Name | Required | Description | Default |
|---|---|---|---|
| root_path | No | / |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, and the description does not disclose any behavioral traits such as authentication requirements, rate limits, or side effects. It only states the basic function.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence, which is concise but may be too minimal. It front-loads the purpose but lacks supporting details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the single parameter, no output schema, and no annotations, the description fails to provide sufficient context. It does not explain what 'navigable sections' are, how root_path affects results, or the output format.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description does not explain the 'root_path' parameter or its effect. With 0% schema description coverage, the parameter semantics are left entirely to the agent to infer.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool lists navigable sections of the site, using a specific verb and resource. It distinguishes from sibling tools like extract_page_content, get_page, and search_pages.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of context, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_pagesC
Busca contenido dentro de la web interna autenticada.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| limit | No | ||
| section | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description bears full responsibility for behavioral disclosure. It only states 'Busca contenido' without detailing outcomes (e.g., returns page titles, snippets, or URLs), authentication specifics, or limits on input.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence, which is concise but overly sparse. It does not waste words, but it lacks sufficient detail to be fully useful, sacrificing completeness for brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given three parameters, no output schema, and sibling tools, the description is incomplete. It does not explain return format, how to use the 'section' parameter, or behavior for missing/empty queries, leaving critical gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage. The description adds no explanation for any parameter (query, limit, section), leaving their meaning entirely to the schema names. This fails to add value beyond the bare schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Busca' (search) and the resource 'contenido dentro de la web interna autenticada' (content within the authenticated internal web). It adequately distinguishes from sibling tools like get_page and extract_page_content by indicating a search capability.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives such as get_page or list_sections. It does not mention any prerequisites or scenarios where this tool is preferred.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
4 tool updates
v1.0.0- First observed
extract_page_content - First observed
get_page - First observed
list_sections - First observed
search_pages
TDQS
Each tool targets a distinct operation: extracting content from a page, retrieving a specific page, listing sections, and searching within the site. There is no overlap or ambiguity between them.
All tool names follow a consistent verb_noun pattern (e.g., extract_page_content, get_page, list_sections, search_pages) using snake_case, making them predictable and easy to understand.
The server has 4 tools, which is well-scoped for a website content retrieval and navigation purpose. Each tool serves a clear and necessary function without being redundant or excessive.
The tool set covers core operations: retrieving pages, extracting content, listing sections, and searching. It lacks features like listing pages within a section or getting page metadata, but these are minor gaps for the intended domain.
Maintenance
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