microCMS MCP Server
Servidor microCMS MCP
Un servidor de búsqueda microCMS que admite el Protocolo de contexto de modelo (MCP). Se puede utilizar para buscar y recuperar contenido de microCMS del LLM.
función
Búsqueda de contenido mediante la API de microCMS
Obtener contenido específico
Interfaz compatible con MCP (Protocolo de contexto de modelo)
Related MCP server: @lex-tools/codebase-context-dumper
Descripción de las variables de entorno requeridas
MICROCMS_API_KEY: clave API de microCMS (obligatoria)MICROCMS_SERVICE_DOMAIN: dominio del servicio microCMS (obligatorio)MICROCMS_ENDPOINT: El punto final a utilizar.
Construir
npm run buildCómo utilizar
Uso desde el cliente MCP
Este servidor cumple con el protocolo MCP y, por lo tanto, puede ser llamado por cualquier cliente LLM habilitado para MCP.
{
"mcpServers": {
"microcms": {
"command": "node",
"args": [
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/build/index.js"
],
"env": {
"MICROCMS_API_KEY": "",
"MICROCMS_SERVICE_DOMAIN": "",
"MICROCMS_ENDPOINT": ""
}
}
}
}Enlaces relacionados
Available Tools
2 toolsGetMicroCMSContentC
Get specific content from MicroCMS by ID
| Name | Required | Description | Default |
|---|---|---|---|
| endpoint | Yes | API endpoint (e.g., 'blogs') | |
| contentId | Yes | Content ID to retrieve | |
| fields | No | Comma-separated list of fields to return | |
| depth | No | Depth for expanding references |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states it's a read operation ('Get'), which implies non-destructive behavior, but doesn't mention authentication requirements, rate limits, error handling, or what happens if the content ID doesn't exist. For a tool with no annotation coverage, this is a significant gap in transparency.
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, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, making it easy to parse quickly. Every word earns its place in conveying the core functionality.
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 lack of annotations and output schema, the description is incomplete for a tool with 4 parameters. It doesn't explain what the tool returns (e.g., content object, error responses) or provide behavioral context needed for safe invocation. For a read operation with no structured safety hints, more detail would be helpful.
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 adds no parameter-specific information beyond what's already in the schema, which has 100% coverage with clear descriptions for all 4 parameters. The baseline score of 3 is appropriate since the schema does the heavy lifting, but the description doesn't compensate with additional context like examples or constraints.
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 action ('Get') and resource ('specific content from MicroCMS by ID'), making the purpose understandable. It distinguishes from the sibling tool 'SearchMicroCMS' by focusing on retrieval by ID rather than search operations. However, it could be more specific about what type of content is retrieved (e.g., blog posts, articles).
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 like 'SearchMicroCMS'. It doesn't mention prerequisites, such as needing to know the content ID beforehand, or when not to use it (e.g., for listing content). This leaves the agent without clear usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
SearchMicroCMSC
Search content in MicroCMS
| Name | Required | Description | Default |
|---|---|---|---|
| q | Yes | Search query | |
| limit | No | Maximum number of results to return | |
| offset | No | Number of items to skip | |
| fields | No | Comma-separated list of fields to return | |
| orders | No | Sort order (e.g., '-publishedAt') | |
| filters | No | Filters in the format 'field[operator]=value' |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It mentions 'Search' but doesn't disclose behavioral traits such as read-only nature (implied but not stated), potential rate limits, authentication needs, or what happens on errors. For a search tool with no annotation coverage, this is a significant gap in transparency.
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, efficient sentence with zero waste. It's appropriately sized and front-loaded, making it easy to parse quickly. Every word earns its place by conveying the core action.
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 complexity (6 parameters, no output schema, no annotations), the description is incomplete. It doesn't explain return values, error handling, or behavioral context. For a search tool with multiple parameters and a sibling, more detail is needed to guide the agent effectively.
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 100%, so the schema already documents all 6 parameters (e.g., 'q' for search query, 'limit' for maximum results). The description adds no additional meaning beyond the schema, such as examples or usage tips. Baseline is 3 when schema does the heavy lifting.
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 'Search content in MicroCMS' states the verb ('Search') and resource ('content in MicroCMS'), providing a basic purpose. However, it lacks specificity about what type of content or scope, and doesn't differentiate from the sibling tool 'GetMicroCMSContent', which might retrieve specific content versus searching. It's vague but functional.
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 the sibling 'GetMicroCMSContent'. The description implies a search operation but doesn't specify contexts, prerequisites, or alternatives. This leaves the agent without clear direction on tool selection.
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.
2 tool updates
v1.0.0- First observed
GetMicroCMSContent - First observed
SearchMicroCMS
TDQS
The two tools have clearly distinct purposes: GetMicroCMSContent retrieves a specific item by ID, while SearchMicroCMS performs a broader query across content. There is no overlap in functionality, making it easy for an agent to choose the right tool for the task.
Both tools follow a consistent naming pattern with a verb (Get or Search) followed by the domain (MicroCMS) and a noun (Content). They use consistent PascalCase styling, making the naming predictable and readable.
With only two tools, the server feels under-scoped for a content management system. It lacks essential CRUD operations like create, update, or delete, which are typically expected for managing content. The count is too low for the apparent domain.
The toolset is severely incomplete for a CMS server. It only provides read operations (get and search), missing create, update, delete, and other lifecycle management functions. This will cause agent failures when full content management is required.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
MCP server for searching Airweave collections with natural language queries.
A Model Context Protocol server for Wix AI tools
Related MCP Servers
- AlicenseAqualityAmaintenanceA Model Context Protocol (MCP) server that helps large language models index, search, and analyze code repositories with minimal setup141,005MIT
- AlicenseAqualityDmaintenanceA Model Context Protocol (MCP) server designed to easily dump your codebase context into Large Language Models (LLMs).1123Apache 2.0
- FlicenseDqualityDmaintenanceA ready-to-use starter implementation of the Model Context Protocol (MCP) server that enables applications to provide standardized context for LLMs with sample resources, tools, and prompts.201-
- AlicenseBqualityDmaintenanceAn educational implementation of a Model Context Protocol server that demonstrates how to build a functional MCP server integrating with various LLM clients.2MIT
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/SpringMT/microcms-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server